Add NDI home classification runtime pipeline

README_NDI_HOME_CLASSIFICATION.md

@@ -0,0 +1,136 @@
+# NDI HOME / NOT_HOME classification implementation
+
+This patch implements the HOME / NOT_HOME part of `docs/ndi_home_classification_en.md` as a dedicated runtime processing plan while reusing the existing driver-working-time pipeline.
+
+## Public processing plan
+
+Use:
+
+```text
+driver-home-classification-v1
+```
+
+The plan delegates to the shared `driver-working-time-v1` pipeline and explicitly inserts:
+
+```text
+support-evidence-normalization
+-> ndi-home-classification
+-> driving-derived-projections
+```
+
+The original `driver-working-time-v1` plan does not run the optional NDI module by default. It can opt in by explicitly requesting `ndi-home-classification`.
+
+## Reused projection structures
+
+`DriverWorkingTimeReusableProjectionBuilder.buildAllNonDrivingIntervalCoverage(...)` runs the existing Esper interruption/card-absence/GNSS enrichment pipeline with a zero rest-candidate threshold. It therefore creates enriched evidence for every positive non-driving interruption without changing the legacy daily/weekly-rest threshold or outputs.
+
+The implementation reuses `DriverWorkingTimeRestCoverageInterval` as the enriched NDI evidence model. It provides:
+
+- previous and next driving/vehicle identities;
+- NDI start, end, and duration;
+- card-absence duration and percentage;
+- begin/end boundary GNSS evidence;
+- boundary odometer and movement evidence.
+
+## Implemented classification rules
+
+The rules are evaluated in the document order:
+
+1. previous and next vehicles differ -> `HOME`;
+2. card absent for more than 80% -> `HOME`;
+3. NDI longer than 24 hours -> `HOME`;
+4. no position: NDI longer than 7.5 hours -> `HOME`, otherwise `NOT_HOME`;
+5. positioned long NDI in a company or driver home cluster -> `HOME`;
+6. positioned long NDI outside those clusters -> `NOT_HOME`;
+7. remaining short NDI -> `NOT_HOME`.
+
+Every classification contains a `DriverNdiHomeClassificationReason`, so the first matching rule remains visible in the API response.
+
+## Location learning and clustering
+
+Only NDIs longer than 7.5 hours with a position are added to the corpus.
+
+Position selection follows the document through the existing boundary-evidence resolver:
+
+```text
+resolved begin-boundary evidence for the previous driving/vehicle context,
+otherwise resolved end-boundary evidence for the next driving/vehicle context
+```
+
+The selected evidence is the closest eligible support-position event within the configured boundary lookup window, so it is an approximation when no event exists exactly at the driving boundary.
+
+The in-memory cache:
+
+- accumulates observations across one or more file-session executions;
+- deduplicates the same NDI across repeated/overlapping sessions;
+- retains the source session IDs as provenance;
+- stores the driver key on every observation;
+- does not permanently mark a driver as "actual" or "other".
+
+For each result driver, the same cached corpus is viewed as:
+
+```text
+actual-driver observations
+other-driver observations
+```
+
+This makes the distinction request-relative and allows the corpus to be reused for another driver.
+
+Clustering uses Java DBSCAN with Haversine distance. Defaults are 150 metres and three points. Noise observations remain in the denominator for visit-share calculations but are never home clusters.
+
+## File-session learning scope
+
+The dedicated plan defaults `ndiLearnAllFileSessionDrivers` to `true`.
+
+For a request with explicit canonical driver keys, the plan internally loads all drivers from the selected file sessions for location learning and filters the response back to the originally requested drivers.
+
+The scope is not broadened when:
+
+- the source selection is mixed or database-only;
+- the option is disabled;
+- the request uses only alternate card/source selectors and cannot be filtered safely by canonical driver key.
+
+## Configuration
+
+The defaults are under:
+
+```yaml
+eventhub:
+  tachograph-file-session:
+    processing:
+      ndi-long-minutes: 450
+      ndi-very-long-minutes: 1440
+      ndi-card-removal-percent: 80
+      ndi-visit-share-percent: 25
+      ndi-dbscan-eps-meters: 150
+      ndi-dbscan-min-points: 3
+      ndi-location-cache-ttl: 4h
+      ndi-location-cache-max-observations: 100000
+      ndi-location-cache-namespace: default
+```
+
+For tenantless uploaded sessions, configure a namespace that prevents unrelated operational contexts from sharing a corpus. Explicit tenant keys always create tenant-scoped corpora.
+
+## Response extension
+
+Each driver partition can now contain:
+
+```text
+ndiHomeClassification
+```
+
+It includes:
+
+- all NDI classifications;
+- company and driver home cluster IDs;
+- cluster centroids and visit statistics;
+- actual-driver versus other-driver cached observation counts;
+- diagnostics and notes.
+
+The field is omitted when the optional module was not executed, preserving the existing JSON shape for normal `driver-working-time-v1` calls.
+
+## Current implementation boundary
+
+This patch implements sections 1-4 of the document: NDI derivation/enrichment, location clustering, home-location determination, and HOME / NOT_HOME classification.
+
+Section 5, border-crossing/country trip segmentation, is intentionally not included yet. It needs a separate country-resolution abstraction and a decision between local geographic data, PostGIS, or an external reverse-geocoding provider.

src/main/java/at/procon/eventhub/config/EventHubProperties.java

@@ -381,6 +381,15 @@ public class EventHubProperties {
         private int restCandidateGeoLookaheadMinutes = 180;
         private int restCandidateGeoStationaryMaxMeters = 500;
         private int restCandidateGeoMinorMovementMaxMeters = 2000;
+        private int ndiLongMinutes = 450;
+        private int ndiVeryLongMinutes = 1440;
+        private double ndiCardRemovalPercent = 80.0d;
+        private double ndiVisitSharePercent = 25.0d;
+        private int ndiDbscanEpsMeters = 150;
+        private int ndiDbscanMinPoints = 3;
+        private Duration ndiLocationCacheTtl = Duration.ofHours(4);
+        private int ndiLocationCacheMaxObservations = 100000;
+        private String ndiLocationCacheNamespace = "default";
         private int mergeGapSeconds = 0;
         private int gapDetectionToleranceSeconds = 0;
 
@@ -461,6 +470,83 @@ public class EventHubProperties {
                     Math.max(this.restCandidateGeoStationaryMaxMeters, restCandidateGeoMinorMovementMaxMeters);
         }
 
+        public int getNdiLongMinutes() {
+            return ndiLongMinutes;
+        }
+
+        public void setNdiLongMinutes(int ndiLongMinutes) {
+            this.ndiLongMinutes = Math.max(1, ndiLongMinutes);
+            this.ndiVeryLongMinutes = Math.max(this.ndiLongMinutes, this.ndiVeryLongMinutes);
+        }
+
+        public int getNdiVeryLongMinutes() {
+            return ndiVeryLongMinutes;
+        }
+
+        public void setNdiVeryLongMinutes(int ndiVeryLongMinutes) {
+            this.ndiVeryLongMinutes = Math.max(this.ndiLongMinutes, ndiVeryLongMinutes);
+        }
+
+        public double getNdiCardRemovalPercent() {
+            return ndiCardRemovalPercent;
+        }
+
+        public void setNdiCardRemovalPercent(double ndiCardRemovalPercent) {
+            this.ndiCardRemovalPercent = Math.max(0.0d, Math.min(100.0d, ndiCardRemovalPercent));
+        }
+
+        public double getNdiVisitSharePercent() {
+            return ndiVisitSharePercent;
+        }
+
+        public void setNdiVisitSharePercent(double ndiVisitSharePercent) {
+            this.ndiVisitSharePercent = Math.max(0.0d, Math.min(100.0d, ndiVisitSharePercent));
+        }
+
+        public int getNdiDbscanEpsMeters() {
+            return ndiDbscanEpsMeters;
+        }
+
+        public void setNdiDbscanEpsMeters(int ndiDbscanEpsMeters) {
+            this.ndiDbscanEpsMeters = Math.max(1, ndiDbscanEpsMeters);
+        }
+
+        public int getNdiDbscanMinPoints() {
+            return ndiDbscanMinPoints;
+        }
+
+        public void setNdiDbscanMinPoints(int ndiDbscanMinPoints) {
+            this.ndiDbscanMinPoints = Math.max(1, ndiDbscanMinPoints);
+        }
+
+        public Duration getNdiLocationCacheTtl() {
+            return ndiLocationCacheTtl;
+        }
+
+        public void setNdiLocationCacheTtl(Duration ndiLocationCacheTtl) {
+            if (ndiLocationCacheTtl != null && !ndiLocationCacheTtl.isNegative() && !ndiLocationCacheTtl.isZero()) {
+                this.ndiLocationCacheTtl = ndiLocationCacheTtl;
+            }
+        }
+
+        public int getNdiLocationCacheMaxObservations() {
+            return ndiLocationCacheMaxObservations;
+        }
+
+        public void setNdiLocationCacheMaxObservations(int ndiLocationCacheMaxObservations) {
+            this.ndiLocationCacheMaxObservations = Math.max(100, ndiLocationCacheMaxObservations);
+        }
+
+        public String getNdiLocationCacheNamespace() {
+            return ndiLocationCacheNamespace;
+        }
+
+        public void setNdiLocationCacheNamespace(String ndiLocationCacheNamespace) {
+            if (ndiLocationCacheNamespace != null && !ndiLocationCacheNamespace.isBlank()) {
+                this.ndiLocationCacheNamespace = ndiLocationCacheNamespace.trim();
+            }
+        }
+
         public int getMergeGapSeconds() {
             return mergeGapSeconds;
         }

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiHomeClassification.java

@@ -0,0 +1,16 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimeRestCoverageInterval;
+
+public record DriverNdiHomeClassification(
+        String intervalId,
+        DriverWorkingTimeRestCoverageInterval evidence,
+        Double latitude,
+        Double longitude,
+        String locationSource,
+        String clusterId,
+        boolean clusterNoise,
+        DriverNdiHomeStatus status,
+        DriverNdiHomeClassificationReason reason
+) {
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiHomeClassificationReason.java

@@ -0,0 +1,13 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+public enum DriverNdiHomeClassificationReason {
+    VEHICLE_CHANGED,
+    CARD_REMOVED_OVER_THRESHOLD,
+    REST_OVER_VERY_LONG_THRESHOLD,
+    NO_POSITION_LONG_REST,
+    NO_POSITION_SHORT_REST,
+    COMPANY_HOME_CLUSTER,
+    DRIVER_HOME_CLUSTER,
+    LONG_REST_OUTSIDE_HOME_CLUSTER,
+    SHORT_REST
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiHomeClassificationResult.java

@@ -0,0 +1,33 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+import java.util.Collections;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Set;
+
+public record DriverNdiHomeClassificationResult(
+        String driverKey,
+        int nonDrivingIntervalCount,
+        int currentLongLocationObservationCount,
+        int cachedActualDriverObservationCount,
+        int cachedOtherDriverObservationCount,
+        int companyHomeClusterCount,
+        int driverHomeClusterCount,
+        List<DriverNdiHomeClassification> classifications,
+        List<DriverNdiLocationCluster> clusters,
+        Set<String> companyHomeClusterIds,
+        Set<String> driverHomeClusterIds,
+        List<String> notes
+) {
+    public DriverNdiHomeClassificationResult {
+        classifications = classifications == null ? List.of() : List.copyOf(classifications);
+        clusters = clusters == null ? List.of() : List.copyOf(clusters);
+        companyHomeClusterIds = companyHomeClusterIds == null
+                ? Set.of()
+                : Collections.unmodifiableSet(new LinkedHashSet<>(companyHomeClusterIds));
+        driverHomeClusterIds = driverHomeClusterIds == null
+                ? Set.of()
+                : Collections.unmodifiableSet(new LinkedHashSet<>(driverHomeClusterIds));
+        notes = notes == null ? List.of() : List.copyOf(notes);
+    }
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiHomeClassificationScopeResult.java

@@ -0,0 +1,26 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+import java.util.Collections;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+
+public record DriverNdiHomeClassificationScopeResult(
+        String corpusKey,
+        int currentObservationCount,
+        int cachedObservationCount,
+        int clusterCount,
+        Map<String, DriverNdiHomeClassificationResult> driverResults,
+        List<String> notes
+) {
+    public DriverNdiHomeClassificationScopeResult {
+        driverResults = driverResults == null
+                ? Map.of()
+                : Collections.unmodifiableMap(new LinkedHashMap<>(driverResults));
+        notes = notes == null ? List.of() : List.copyOf(notes);
+    }
+
+    public DriverNdiHomeClassificationResult resultForDriver(String driverKey) {
+        return driverResults.get(driverKey);
+    }
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiHomeStatus.java

@@ -0,0 +1,6 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+public enum DriverNdiHomeStatus {
+    HOME,
+    NOT_HOME
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiLocationCluster.java

@@ -0,0 +1,16 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+public record DriverNdiLocationCluster(
+        String clusterId,
+        double centroidLatitude,
+        double centroidLongitude,
+        int totalVisitCount,
+        int distinctDriverCount,
+        int actualDriverVisitCount,
+        int otherDriverVisitCount,
+        double companyVisitSharePercent,
+        double actualDriverVisitSharePercent,
+        boolean companyHome,
+        boolean actualDriverHome
+) {
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiLocationCorpusSnapshot.java

@@ -0,0 +1,18 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+import java.time.Instant;
+import java.util.List;
+
+public record DriverNdiLocationCorpusSnapshot(
+        String corpusKey,
+        int observationCountBeforeMerge,
+        int addedObservationCount,
+        int observationCountAfterMerge,
+        List<DriverNdiLocationObservation> observations,
+        Instant updatedAt,
+        Instant expiresAt
+) {
+    public DriverNdiLocationCorpusSnapshot {
+        observations = observations == null ? List.of() : List.copyOf(observations);
+    }
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/model/DriverNdiLocationObservation.java

@@ -0,0 +1,67 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.model;
+
+import java.time.OffsetDateTime;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.UUID;
+
+public record DriverNdiLocationObservation(
+        String observationId,
+        String tenantKey,
+        List<UUID> sourceSessionIds,
+        UUID compositeSessionId,
+        String driverKey,
+        OffsetDateTime startedAt,
+        OffsetDateTime endedAt,
+        long durationSeconds,
+        double latitude,
+        double longitude,
+        String locationSource,
+        String geoEventId,
+        String geoEventDomain,
+        Long geoDistanceSeconds,
+        String previousDrivingSourceIntervalId,
+        String nextDrivingSourceIntervalId,
+        String previousRegistrationKey,
+        String nextRegistrationKey,
+        String previousVehicleKey,
+        String nextVehicleKey
+) {
+    public DriverNdiLocationObservation {
+        sourceSessionIds = sourceSessionIds == null ? List.of() : List.copyOf(sourceSessionIds);
+    }
+
+    public DriverNdiLocationObservation mergeProvenance(DriverNdiLocationObservation other) {
+        if (other == null || !observationId.equals(other.observationId())) {
+            return this;
+        }
+        LinkedHashSet<UUID> mergedSessionIds = new LinkedHashSet<>(sourceSessionIds);
+        mergedSessionIds.addAll(other.sourceSessionIds());
+        return new DriverNdiLocationObservation(
+                observationId,
+                other.tenantKey() != null ? other.tenantKey() : tenantKey,
+                List.copyOf(mergedSessionIds),
+                other.compositeSessionId() != null ? other.compositeSessionId() : compositeSessionId,
+                other.driverKey() != null ? other.driverKey() : driverKey,
+                other.startedAt() != null ? other.startedAt() : startedAt,
+                other.endedAt() != null ? other.endedAt() : endedAt,
+                other.durationSeconds(),
+                other.latitude(),
+                other.longitude(),
+                other.locationSource() != null ? other.locationSource() : locationSource,
+                other.geoEventId() != null ? other.geoEventId() : geoEventId,
+                other.geoEventDomain() != null ? other.geoEventDomain() : geoEventDomain,
+                other.geoDistanceSeconds() != null ? other.geoDistanceSeconds() : geoDistanceSeconds,
+                other.previousDrivingSourceIntervalId() != null
+                        ? other.previousDrivingSourceIntervalId()
+                        : previousDrivingSourceIntervalId,
+                other.nextDrivingSourceIntervalId() != null
+                        ? other.nextDrivingSourceIntervalId()
+                        : nextDrivingSourceIntervalId,
+                other.previousRegistrationKey() != null ? other.previousRegistrationKey() : previousRegistrationKey,
+                other.nextRegistrationKey() != null ? other.nextRegistrationKey() : nextRegistrationKey,
+                other.previousVehicleKey() != null ? other.previousVehicleKey() : previousVehicleKey,
+                other.nextVehicleKey() != null ? other.nextVehicleKey() : nextVehicleKey
+        );
+    }
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/service/DriverNdiDbscanClusterer.java

@@ -0,0 +1,203 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.service;
+
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiLocationObservation;
+import java.util.ArrayDeque;
+import java.util.ArrayList;
+import java.util.Comparator;
+import java.util.Deque;
+import java.util.HashMap;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import org.springframework.stereotype.Service;
+
+@Service
+public class DriverNdiDbscanClusterer {
+
+    public static final String NOISE_CLUSTER_ID = "NOISE";
+    private static final int UNVISITED = Integer.MIN_VALUE;
+    private static final int NOISE = -1;
+    private static final double EARTH_RADIUS_METERS = 6_371_008.8d;
+
+    public ClusterResult cluster(
+            List<DriverNdiLocationObservation> observations,
+            double epsilonMeters,
+            int minimumPoints
+    ) {
+        List<DriverNdiLocationObservation> points = observations == null ? List.of() : List.copyOf(observations);
+        double effectiveEpsilonMeters = Double.isFinite(epsilonMeters)
+                ? Math.max(0.0d, epsilonMeters)
+                : 0.0d;
+        int effectiveMinimumPoints = Math.max(1, minimumPoints);
+        if (points.isEmpty()) {
+            return new ClusterResult(Map.of(), Map.of());
+        }
+
+        int[] labels = new int[points.size()];
+        java.util.Arrays.fill(labels, UNVISITED);
+        int clusterNumber = 0;
+        for (int pointIndex = 0; pointIndex < points.size(); pointIndex++) {
+            if (labels[pointIndex] != UNVISITED) {
+                continue;
+            }
+            List<Integer> neighbours = neighbours(points, pointIndex, effectiveEpsilonMeters);
+            if (neighbours.size() < effectiveMinimumPoints) {
+                labels[pointIndex] = NOISE;
+                continue;
+            }
+            expandCluster(points, labels, pointIndex, neighbours, clusterNumber, effectiveEpsilonMeters, effectiveMinimumPoints);
+            clusterNumber++;
+        }
+
+        Map<Integer, List<DriverNdiLocationObservation>> numericClusters = new HashMap<>();
+        for (int index = 0; index < points.size(); index++) {
+            if (labels[index] >= 0) {
+                numericClusters.computeIfAbsent(labels[index], ignored -> new ArrayList<>()).add(points.get(index));
+            }
+        }
+
+        List<RawCluster> sortedClusters = numericClusters.entrySet().stream()
+                .map(entry -> RawCluster.of(entry.getKey(), entry.getValue()))
+                .sorted(Comparator
+                        .comparingDouble(RawCluster::centroidLatitude)
+                        .thenComparingDouble(RawCluster::centroidLongitude)
+                        .thenComparingInt(RawCluster::numericId))
+                .toList();
+
+        Map<Integer, String> clusterIdByNumericId = new HashMap<>();
+        LinkedHashMap<String, ClusterMembers> clusters = new LinkedHashMap<>();
+        for (int index = 0; index < sortedClusters.size(); index++) {
+            RawCluster raw = sortedClusters.get(index);
+            String clusterId = "CLUSTER-" + String.format("%03d", index + 1);
+            clusterIdByNumericId.put(raw.numericId(), clusterId);
+            clusters.put(clusterId, new ClusterMembers(
+                    clusterId,
+                    raw.centroidLatitude(),
+                    raw.centroidLongitude(),
+                    raw.members()
+            ));
+        }
+
+        LinkedHashMap<String, String> assignmentByObservationId = new LinkedHashMap<>();
+        for (int index = 0; index < points.size(); index++) {
+            String clusterId = labels[index] == NOISE
+                    ? NOISE_CLUSTER_ID
+                    : clusterIdByNumericId.get(labels[index]);
+            assignmentByObservationId.put(points.get(index).observationId(), clusterId);
+        }
+
+        return new ClusterResult(Map.copyOf(assignmentByObservationId), Map.copyOf(clusters));
+    }
+
+    private void expandCluster(
+            List<DriverNdiLocationObservation> points,
+            int[] labels,
+            int seedIndex,
+            List<Integer> seedNeighbours,
+            int clusterNumber,
+            double epsilonMeters,
+            int minimumPoints
+    ) {
+        labels[seedIndex] = clusterNumber;
+        Deque<Integer> queue = new ArrayDeque<>();
+        Set<Integer> queued = new LinkedHashSet<>();
+        for (Integer neighbour : seedNeighbours) {
+            if (neighbour != seedIndex && queued.add(neighbour)) {
+                queue.addLast(neighbour);
+            }
+        }
+
+        while (!queue.isEmpty()) {
+            int candidate = queue.removeFirst();
+            if (labels[candidate] == NOISE) {
+                labels[candidate] = clusterNumber;
+            }
+            if (labels[candidate] != UNVISITED) {
+                continue;
+            }
+            labels[candidate] = clusterNumber;
+            List<Integer> candidateNeighbours = neighbours(points, candidate, epsilonMeters);
+            if (candidateNeighbours.size() >= minimumPoints) {
+                for (Integer neighbour : candidateNeighbours) {
+                    if (queued.add(neighbour)) {
+                        queue.addLast(neighbour);
+                    }
+                }
+            }
+        }
+    }
+
+    private List<Integer> neighbours(
+            List<DriverNdiLocationObservation> points,
+            int pointIndex,
+            double epsilonMeters
+    ) {
+        DriverNdiLocationObservation source = points.get(pointIndex);
+        List<Integer> neighbours = new ArrayList<>();
+        for (int candidateIndex = 0; candidateIndex < points.size(); candidateIndex++) {
+            DriverNdiLocationObservation candidate = points.get(candidateIndex);
+            if (haversineMeters(
+                    source.latitude(),
+                    source.longitude(),
+                    candidate.latitude(),
+                    candidate.longitude()
+            ) <= epsilonMeters) {
+                neighbours.add(candidateIndex);
+            }
+        }
+        return neighbours;
+    }
+
+    static double haversineMeters(
+            double latitudeA,
+            double longitudeA,
+            double latitudeB,
+            double longitudeB
+    ) {
+        double latitudeDelta = Math.toRadians(latitudeB - latitudeA);
+        double longitudeDelta = Math.toRadians(longitudeB - longitudeA);
+        double latitudeARadians = Math.toRadians(latitudeA);
+        double latitudeBRadians = Math.toRadians(latitudeB);
+        double haversine = Math.sin(latitudeDelta / 2.0d) * Math.sin(latitudeDelta / 2.0d)
+                + Math.cos(latitudeARadians) * Math.cos(latitudeBRadians)
+                * Math.sin(longitudeDelta / 2.0d) * Math.sin(longitudeDelta / 2.0d);
+        double normalizedHaversine = Math.max(0.0d, Math.min(1.0d, haversine));
+        double angularDistance = 2.0d * Math.atan2(
+                Math.sqrt(normalizedHaversine),
+                Math.sqrt(1.0d - normalizedHaversine)
+        );
+        return EARTH_RADIUS_METERS * angularDistance;
+    }
+
+    public record ClusterResult(
+            Map<String, String> assignmentByObservationId,
+            Map<String, ClusterMembers> clusters
+    ) {
+    }
+
+    public record ClusterMembers(
+            String clusterId,
+            double centroidLatitude,
+            double centroidLongitude,
+            List<DriverNdiLocationObservation> members
+    ) {
+        public ClusterMembers {
+            members = members == null ? List.of() : List.copyOf(members);
+        }
+    }
+
+    private record RawCluster(
+            int numericId,
+            double centroidLatitude,
+            double centroidLongitude,
+            List<DriverNdiLocationObservation> members
+    ) {
+        private static RawCluster of(int numericId, List<DriverNdiLocationObservation> members) {
+            double latitude = members.stream().mapToDouble(DriverNdiLocationObservation::latitude).average().orElse(0.0d);
+            double longitude = members.stream().mapToDouble(DriverNdiLocationObservation::longitude).average().orElse(0.0d);
+            return new RawCluster(numericId, latitude, longitude, List.copyOf(members));
+        }
+    }
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/service/DriverNdiHomeClassificationService.java

@@ -0,0 +1,572 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.service;
+
+import at.procon.eventhub.config.EventHubProperties;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassification;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationReason;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationResult;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationScopeResult;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeStatus;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiLocationCluster;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiLocationCorpusSnapshot;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiLocationObservation;
+import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimePreparedInput;
+import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimeRestCoverageInterval;
+import at.procon.eventhub.processing.driverworkingtime.service.DriverWorkingTimeReusableProjectionBuilder;
+import at.procon.eventhub.processing.dto.UnifiedRuntimeProcessingApiRequest;
+import at.procon.eventhub.processing.model.UnifiedEventSourceFamily;
+import java.nio.charset.StandardCharsets;
+import java.security.MessageDigest;
+import java.security.NoSuchAlgorithmException;
+import java.time.OffsetDateTime;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.HashMap;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Locale;
+import java.util.Map;
+import java.util.Objects;
+import java.util.Set;
+import java.util.UUID;
+import org.springframework.stereotype.Service;
+
+@Service
+public class DriverNdiHomeClassificationService {
+
+    private static final String ALGORITHM_VERSION = "NDI_HOME_V1";
+
+    private final DriverWorkingTimeReusableProjectionBuilder projectionBuilder;
+    private final DriverNdiLocationCorpusCache locationCorpusCache;
+    private final DriverNdiDbscanClusterer clusterer;
+    private final EventHubProperties properties;
+
+    public DriverNdiHomeClassificationService(
+            DriverWorkingTimeReusableProjectionBuilder projectionBuilder,
+            DriverNdiLocationCorpusCache locationCorpusCache,
+            DriverNdiDbscanClusterer clusterer,
+            EventHubProperties properties
+    ) {
+        this.projectionBuilder = projectionBuilder;
+        this.locationCorpusCache = locationCorpusCache;
+        this.clusterer = clusterer;
+        this.properties = properties;
+    }
+
+    public DriverNdiHomeClassificationScopeResult classifyPreparedInputs(
+            UnifiedRuntimeProcessingApiRequest request,
+            Map<String, DriverWorkingTimePreparedInput> preparedInputs
+    ) {
+        LinkedHashMap<String, List<DriverWorkingTimeRestCoverageInterval>> evidenceByDriver = new LinkedHashMap<>();
+        if (preparedInputs != null) {
+            preparedInputs.entrySet().stream()
+                    .filter(entry -> entry.getKey() != null
+                            && entry.getValue() != null
+                            && entry.getValue().processingInput() != null)
+                    .sorted(Map.Entry.comparingByKey())
+                    .forEach(entry -> evidenceByDriver.put(
+                            entry.getKey(),
+                            projectionBuilder.buildAllNonDrivingIntervalCoverage(entry.getValue().processingInput())
+                    ));
+        }
+        return classifyEvidence(request, evidenceByDriver);
+    }
+
+    public DriverNdiHomeClassificationScopeResult classifyEvidence(
+            UnifiedRuntimeProcessingApiRequest request,
+            Map<String, List<DriverWorkingTimeRestCoverageInterval>> evidenceByDriver
+    ) {
+        EventHubProperties.Processing settings = properties.getRuntimeProcessing();
+        long longThresholdSeconds = settings.getNdiLongMinutes() * 60L;
+        long veryLongThresholdSeconds = settings.getNdiVeryLongMinutes() * 60L;
+        double cardRemovalThresholdPercent = settings.getNdiCardRemovalPercent();
+        double visitShareThresholdPercent = settings.getNdiVisitSharePercent();
+
+        List<UUID> sourceSessionIds = sourceSessionIds(request);
+        UUID compositeSessionId = request == null ? null : request.compositeSessionId();
+        String tenantKey = normalizedTenantKey(request == null ? null : request.tenantKey());
+        String corpusKey = corpusKey(
+                request,
+                tenantKey,
+                settings.getNdiLocationCacheNamespace(),
+                settings.getNdiLongMinutes()
+        );
+
+        LinkedHashMap<String, List<DriverWorkingTimeRestCoverageInterval>> safeEvidenceByDriver = new LinkedHashMap<>();
+        if (evidenceByDriver != null) {
+            evidenceByDriver.entrySet().stream()
+                    .filter(entry -> entry.getKey() != null && !entry.getKey().isBlank())
+                    .sorted(Map.Entry.comparingByKey())
+                    .forEach(entry -> safeEvidenceByDriver.put(
+                            entry.getKey(),
+                            safeList(entry.getValue()).stream()
+                                    .filter(Objects::nonNull)
+                                    .sorted(Comparator
+                                            .comparing(DriverWorkingTimeRestCoverageInterval::startedAt, Comparator.nullsLast(Comparator.naturalOrder()))
+                                            .thenComparing(DriverWorkingTimeRestCoverageInterval::endedAt, Comparator.nullsLast(Comparator.naturalOrder())))
+                                    .toList()
+                    ));
+        }
+
+        List<DriverNdiLocationObservation> currentObservations = new ArrayList<>();
+        Map<String, DriverNdiLocationObservation> currentObservationByIntervalId = new HashMap<>();
+        for (Map.Entry<String, List<DriverWorkingTimeRestCoverageInterval>> entry : safeEvidenceByDriver.entrySet()) {
+            for (DriverWorkingTimeRestCoverageInterval evidence : entry.getValue()) {
+                if (evidence.durationSeconds() <= longThresholdSeconds) {
+                    continue;
+                }
+                ResolvedPosition position = resolvePosition(evidence);
+                if (position == null) {
+                    continue;
+                }
+                String intervalId = intervalId(evidence);
+                DriverNdiLocationObservation observation = new DriverNdiLocationObservation(
+                        observationId(tenantKey, intervalId),
+                        tenantKey,
+                        observationSourceSessionIds(evidence.sessionId(), sourceSessionIds),
+                        compositeSessionId,
+                        entry.getKey(),
+                        evidence.startedAt(),
+                        evidence.endedAt(),
+                        evidence.durationSeconds(),
+                        position.latitude(),
+                        position.longitude(),
+                        position.source(),
+                        position.geoEventId(),
+                        position.geoEventDomain(),
+                        position.geoDistanceSeconds(),
+                        evidence.previousDrivingSourceIntervalId(),
+                        evidence.nextDrivingSourceIntervalId(),
+                        evidence.previousRegistrationKey(),
+                        evidence.nextRegistrationKey(),
+                        evidence.previousVehicleKey(),
+                        evidence.nextVehicleKey()
+                );
+                currentObservations.add(observation);
+                currentObservationByIntervalId.put(intervalId, observation);
+            }
+        }
+
+        DriverNdiLocationCorpusSnapshot corpus = locationCorpusCache.merge(corpusKey, currentObservations);
+        DriverNdiDbscanClusterer.ClusterResult clusterResult = clusterer.cluster(
+                corpus.observations(),
+                settings.getNdiDbscanEpsMeters(),
+                settings.getNdiDbscanMinPoints()
+        );
+
+        Set<String> companyHomeClusterIds = determineCompanyHomeClusters(
+                clusterResult,
+                corpus.observations().size(),
+                visitShareThresholdPercent
+        );
+
+        LinkedHashMap<String, DriverNdiHomeClassificationResult> driverResults = new LinkedHashMap<>();
+        for (Map.Entry<String, List<DriverWorkingTimeRestCoverageInterval>> entry : safeEvidenceByDriver.entrySet()) {
+            String driverKey = entry.getKey();
+            List<DriverNdiLocationObservation> cachedDriverObservations = corpus.observations().stream()
+                    .filter(observation -> Objects.equals(driverKey, observation.driverKey()))
+                    .toList();
+            Set<String> driverHomeClusterIds = determineDriverHomeClusters(
+                    driverKey,
+                    clusterResult,
+                    cachedDriverObservations.size(),
+                    companyHomeClusterIds,
+                    visitShareThresholdPercent
+            );
+
+            List<DriverNdiLocationCluster> driverClusters = buildDriverClusterView(
+                    driverKey,
+                    clusterResult,
+                    corpus.observations().size(),
+                    cachedDriverObservations.size(),
+                    companyHomeClusterIds,
+                    driverHomeClusterIds
+            );
+
+            List<DriverNdiHomeClassification> classifications = entry.getValue().stream()
+                    .map(evidence -> classifyInterval(
+                            evidence,
+                            currentObservationByIntervalId.get(intervalId(evidence)),
+                            clusterResult.assignmentByObservationId(),
+                            companyHomeClusterIds,
+                            driverHomeClusterIds,
+                            longThresholdSeconds,
+                            veryLongThresholdSeconds,
+                            cardRemovalThresholdPercent
+                    ))
+                    .toList();
+
+            int currentDriverObservationCount = (int) currentObservations.stream()
+                    .filter(observation -> Objects.equals(driverKey, observation.driverKey()))
+                    .count();
+            int cachedOtherDriverObservationCount = corpus.observations().size() - cachedDriverObservations.size();
+            List<String> notes = List.of(
+                    "NDI classification used ordered rules from ndi_home_classification_en.md.",
+                    "Location learning used " + cachedDriverObservations.size() + " cached observation(s) for the actual driver and "
+                            + cachedOtherDriverObservationCount + " observation(s) from other drivers.",
+                    "DBSCAN parameters: eps=" + settings.getNdiDbscanEpsMeters() + "m, minPoints="
+                            + settings.getNdiDbscanMinPoints() + "."
+            );
+            driverResults.put(driverKey, new DriverNdiHomeClassificationResult(
+                    driverKey,
+                    classifications.size(),
+                    currentDriverObservationCount,
+                    cachedDriverObservations.size(),
+                    cachedOtherDriverObservationCount,
+                    companyHomeClusterIds.size(),
+                    driverHomeClusterIds.size(),
+                    classifications,
+                    driverClusters,
+                    companyHomeClusterIds,
+                    driverHomeClusterIds,
+                    notes
+            ));
+        }
+
+        List<String> notes = new ArrayList<>();
+        notes.add("NDI location corpus " + corpus.corpusKey() + " contains " + corpus.observationCountAfterMerge()
+                + " observation(s); " + corpus.addedObservationCount() + " were added by this execution.");
+        notes.add("Current execution contributed " + currentObservations.size() + " long NDI location observation(s) from "
+                + safeEvidenceByDriver.size() + " driver(s).");
+        if (safeEvidenceByDriver.size() <= 1) {
+            notes.add("Only one driver was present in the current execution; company-home detection may still use cached observations from other drivers.");
+        }
+
+        return new DriverNdiHomeClassificationScopeResult(
+                corpus.corpusKey(),
+                currentObservations.size(),
+                corpus.observationCountAfterMerge(),
+                clusterResult.clusters().size(),
+                driverResults,
+                notes
+        );
+    }
+
+    private DriverNdiHomeClassification classifyInterval(
+            DriverWorkingTimeRestCoverageInterval evidence,
+            DriverNdiLocationObservation observation,
+            Map<String, String> assignmentByObservationId,
+            Set<String> companyHomeClusterIds,
+            Set<String> driverHomeClusterIds,
+            long longThresholdSeconds,
+            long veryLongThresholdSeconds,
+            double cardRemovalThresholdPercent
+    ) {
+        ResolvedPosition position = resolvePosition(evidence);
+        String clusterId = observation == null ? null : assignmentByObservationId.get(observation.observationId());
+        boolean clusterNoise = DriverNdiDbscanClusterer.NOISE_CLUSTER_ID.equals(clusterId);
+
+        DriverNdiHomeStatus status;
+        DriverNdiHomeClassificationReason reason;
+        if (vehicleChanged(evidence)) {
+            status = DriverNdiHomeStatus.HOME;
+            reason = DriverNdiHomeClassificationReason.VEHICLE_CHANGED;
+        } else if (evidence.cardAbsentCoveragePercent() > cardRemovalThresholdPercent) {
+            status = DriverNdiHomeStatus.HOME;
+            reason = DriverNdiHomeClassificationReason.CARD_REMOVED_OVER_THRESHOLD;
+        } else if (evidence.durationSeconds() > veryLongThresholdSeconds) {
+            status = DriverNdiHomeStatus.HOME;
+            reason = DriverNdiHomeClassificationReason.REST_OVER_VERY_LONG_THRESHOLD;
+        } else if (position == null) {
+            if (evidence.durationSeconds() > longThresholdSeconds) {
+                status = DriverNdiHomeStatus.HOME;
+                reason = DriverNdiHomeClassificationReason.NO_POSITION_LONG_REST;
+            } else {
+                status = DriverNdiHomeStatus.NOT_HOME;
+                reason = DriverNdiHomeClassificationReason.NO_POSITION_SHORT_REST;
+            }
+        } else if (evidence.durationSeconds() > longThresholdSeconds) {
+            if (clusterId != null && companyHomeClusterIds.contains(clusterId)) {
+                status = DriverNdiHomeStatus.HOME;
+                reason = DriverNdiHomeClassificationReason.COMPANY_HOME_CLUSTER;
+            } else if (clusterId != null && driverHomeClusterIds.contains(clusterId)) {
+                status = DriverNdiHomeStatus.HOME;
+                reason = DriverNdiHomeClassificationReason.DRIVER_HOME_CLUSTER;
+            } else {
+                status = DriverNdiHomeStatus.NOT_HOME;
+                reason = DriverNdiHomeClassificationReason.LONG_REST_OUTSIDE_HOME_CLUSTER;
+            }
+        } else {
+            status = DriverNdiHomeStatus.NOT_HOME;
+            reason = DriverNdiHomeClassificationReason.SHORT_REST;
+        }
+
+        return new DriverNdiHomeClassification(
+                intervalId(evidence),
+                evidence,
+                position == null ? null : position.latitude(),
+                position == null ? null : position.longitude(),
+                position == null ? null : position.source(),
+                clusterId,
+                clusterNoise,
+                status,
+                reason
+        );
+    }
+
+    private Set<String> determineCompanyHomeClusters(
+            DriverNdiDbscanClusterer.ClusterResult clusterResult,
+            int totalObservationCount,
+            double visitShareThresholdPercent
+    ) {
+        if (totalObservationCount <= 0) {
+            return Set.of();
+        }
+        LinkedHashSet<String> result = new LinkedHashSet<>();
+        clusterResult.clusters().values().stream()
+                .sorted(Comparator.comparing(DriverNdiDbscanClusterer.ClusterMembers::clusterId))
+                .forEach(cluster -> {
+                    double share = cluster.members().size() * 100.0d / totalObservationCount;
+                    if (share > visitShareThresholdPercent) {
+                        result.add(cluster.clusterId());
+                    }
+                });
+        return Collections.unmodifiableSet(result);
+    }
+
+    private Set<String> determineDriverHomeClusters(
+            String driverKey,
+            DriverNdiDbscanClusterer.ClusterResult clusterResult,
+            int driverObservationCount,
+            Set<String> companyHomeClusterIds,
+            double visitShareThresholdPercent
+    ) {
+        if (driverObservationCount <= 0) {
+            return Set.of();
+        }
+        LinkedHashSet<String> result = new LinkedHashSet<>();
+        clusterResult.clusters().values().stream()
+                .sorted(Comparator.comparing(DriverNdiDbscanClusterer.ClusterMembers::clusterId))
+                .forEach(cluster -> {
+                    long driverVisits = cluster.members().stream()
+                            .filter(observation -> Objects.equals(driverKey, observation.driverKey()))
+                            .count();
+                    double share = driverVisits * 100.0d / driverObservationCount;
+                    if (share > visitShareThresholdPercent && !companyHomeClusterIds.contains(cluster.clusterId())) {
+                        result.add(cluster.clusterId());
+                    }
+                });
+        return Collections.unmodifiableSet(result);
+    }
+
+    private List<DriverNdiLocationCluster> buildDriverClusterView(
+            String driverKey,
+            DriverNdiDbscanClusterer.ClusterResult clusterResult,
+            int totalObservationCount,
+            int driverObservationCount,
+            Set<String> companyHomeClusterIds,
+            Set<String> driverHomeClusterIds
+    ) {
+        return clusterResult.clusters().values().stream()
+                .sorted(Comparator.comparing(DriverNdiDbscanClusterer.ClusterMembers::clusterId))
+                .map(cluster -> {
+                    int actualDriverVisits = (int) cluster.members().stream()
+                            .filter(observation -> Objects.equals(driverKey, observation.driverKey()))
+                            .count();
+                    int totalVisits = cluster.members().size();
+                    int distinctDriverCount = (int) cluster.members().stream()
+                            .map(DriverNdiLocationObservation::driverKey)
+                            .filter(Objects::nonNull)
+                            .distinct()
+                            .count();
+                    return new DriverNdiLocationCluster(
+                            cluster.clusterId(),
+                            cluster.centroidLatitude(),
+                            cluster.centroidLongitude(),
+                            totalVisits,
+                            distinctDriverCount,
+                            actualDriverVisits,
+                            totalVisits - actualDriverVisits,
+                            totalObservationCount == 0 ? 0.0d : totalVisits * 100.0d / totalObservationCount,
+                            driverObservationCount == 0 ? 0.0d : actualDriverVisits * 100.0d / driverObservationCount,
+                            companyHomeClusterIds.contains(cluster.clusterId()),
+                            driverHomeClusterIds.contains(cluster.clusterId())
+                    );
+                })
+                .toList();
+    }
+
+    private boolean vehicleChanged(DriverWorkingTimeRestCoverageInterval evidence) {
+        if (known(evidence.previousVehicleKey()) && known(evidence.nextVehicleKey())) {
+            return knownAndDifferent(evidence.previousVehicleKey(), evidence.nextVehicleKey());
+        }
+        return knownAndDifferent(evidence.previousRegistrationKey(), evidence.nextRegistrationKey());
+    }
+
+    private boolean known(String value) {
+        return value != null && !value.isBlank();
+    }
+
+    private boolean knownAndDifferent(String left, String right) {
+        return left != null && !left.isBlank()
+                && right != null && !right.isBlank()
+                && !left.trim().equalsIgnoreCase(right.trim());
+    }
+
+    private ResolvedPosition resolvePosition(DriverWorkingTimeRestCoverageInterval evidence) {
+        if (validCoordinates(evidence.beginLatitude(), evidence.beginLongitude())) {
+            return new ResolvedPosition(
+                    evidence.beginLatitude(),
+                    evidence.beginLongitude(),
+                    "PREVIOUS_DRIVE_END",
+                    evidence.beginGeoEventId(),
+                    evidence.beginGeoEventDomain(),
+                    evidence.beginGeoDistanceSeconds()
+            );
+        }
+        if (validCoordinates(evidence.endLatitude(), evidence.endLongitude())) {
+            return new ResolvedPosition(
+                    evidence.endLatitude(),
+                    evidence.endLongitude(),
+                    "NEXT_DRIVE_START",
+                    evidence.endGeoEventId(),
+                    evidence.endGeoEventDomain(),
+                    evidence.endGeoDistanceSeconds()
+            );
+        }
+        return null;
+    }
+
+    private boolean validCoordinates(Double latitude, Double longitude) {
+        return latitude != null
+                && longitude != null
+                && Double.isFinite(latitude)
+                && Double.isFinite(longitude)
+                && latitude >= -90.0d
+                && latitude <= 90.0d
+                && longitude >= -180.0d
+                && longitude <= 180.0d;
+    }
+
+    private List<UUID> observationSourceSessionIds(
+            UUID evidenceSessionId,
+            List<UUID> requestSessionIds
+    ) {
+        if (evidenceSessionId != null) {
+            return List.of(evidenceSessionId);
+        }
+        return requestSessionIds == null ? List.of() : requestSessionIds;
+    }
+
+    private List<UUID> sourceSessionIds(UnifiedRuntimeProcessingApiRequest request) {
+        if (request == null) {
+            return List.of();
+        }
+        LinkedHashSet<UUID> values = new LinkedHashSet<>();
+        if (request.sessionId() != null) {
+            values.add(request.sessionId());
+        }
+        if (request.sessionIds() != null) {
+            request.sessionIds().stream().filter(Objects::nonNull).sorted().forEach(values::add);
+        }
+        if (request.sourceInputs() != null) {
+            request.sourceInputs().stream().filter(Objects::nonNull).forEach(sourceInput -> {
+                if (sourceInput.sessionId() != null) {
+                    values.add(sourceInput.sessionId());
+                }
+                if (sourceInput.sessionIds() != null) {
+                    sourceInput.sessionIds().stream().filter(Objects::nonNull).sorted().forEach(values::add);
+                }
+            });
+        }
+        return List.copyOf(values);
+    }
+
+    private String corpusKey(
+            UnifiedRuntimeProcessingApiRequest request,
+            String tenantKey,
+            String cacheNamespace,
+            int longThresholdMinutes
+    ) {
+        boolean fileSessionCorpus = isFileSessionOnly(request);
+        if (!fileSessionCorpus) {
+            return tenantKey + "|RUNTIME|" + ALGORITHM_VERSION + "|LONG=" + longThresholdMinutes;
+        }
+
+        String scope;
+        if (request != null && request.tenantKey() != null && !request.tenantKey().isBlank()) {
+            scope = "TENANT=" + tenantKey;
+        } else {
+            String normalizedNamespace = cacheNamespace == null || cacheNamespace.isBlank()
+                    ? "default"
+                    : cacheNamespace.trim();
+            scope = "NAMESPACE=" + normalizedNamespace;
+        }
+        return scope + "|FILE_SESSION|" + ALGORITHM_VERSION + "|LONG=" + longThresholdMinutes;
+    }
+
+    private boolean isFileSessionOnly(UnifiedRuntimeProcessingApiRequest request) {
+        if (request == null) {
+            return false;
+        }
+        if (request.sourceInputs() != null && !request.sourceInputs().isEmpty()) {
+            List<at.procon.eventhub.processing.dto.UnifiedRuntimeSourceInputApiRequest> sourceInputs =
+                    request.sourceInputs().stream().filter(Objects::nonNull).toList();
+            return !sourceInputs.isEmpty() && sourceInputs.stream().allMatch(sourceInput ->
+                    sourceInput.sourceFamily() == UnifiedEventSourceFamily.TACHOGRAPH_FILE_SESSION);
+        }
+        if (request.sourceFamilies() != null && !request.sourceFamilies().isEmpty()) {
+            return request.sourceFamilies().stream().allMatch(sourceFamily ->
+                    sourceFamily == UnifiedEventSourceFamily.TACHOGRAPH_FILE_SESSION);
+        }
+        return request.sessionId() != null
+                || (request.sessionIds() != null && !request.sessionIds().isEmpty())
+                || request.compositeSessionId() != null;
+    }
+
+    private String normalizedTenantKey(String tenantKey) {
+        return tenantKey == null || tenantKey.isBlank() ? "DEFAULT" : tenantKey.trim();
+    }
+
+    private String intervalId(DriverWorkingTimeRestCoverageInterval evidence) {
+        String raw = String.join("|",
+                nullSafe(evidence.driverKey()),
+                nullSafe(evidence.startedAt()),
+                nullSafe(evidence.endedAt()),
+                nullSafe(evidence.previousDrivingSourceIntervalId()),
+                nullSafe(evidence.nextDrivingSourceIntervalId()),
+                nullSafe(evidence.previousVehicleKey()),
+                nullSafe(evidence.nextVehicleKey()),
+                nullSafe(evidence.previousRegistrationKey()),
+                nullSafe(evidence.nextRegistrationKey())
+        );
+        return "NDI-" + shortHash(raw);
+    }
+
+    private String observationId(String tenantKey, String intervalId) {
+        return "NDI-LOC-" + shortHash(tenantKey + "|" + intervalId);
+    }
+
+    private String shortHash(String value) {
+        try {
+            byte[] digest = MessageDigest.getInstance("SHA-256")
+                    .digest(value.getBytes(StandardCharsets.UTF_8));
+            StringBuilder result = new StringBuilder(24);
+            for (int index = 0; index < 12; index++) {
+                result.append(String.format(Locale.ROOT, "%02x", digest[index]));
+            }
+            return result.toString();
+        } catch (NoSuchAlgorithmException ex) {
+            throw new IllegalStateException("SHA-256 is not available", ex);
+        }
+    }
+
+    private String nullSafe(Object value) {
+        return value == null ? "" : value.toString();
+    }
+
+    private <T> List<T> safeList(List<T> values) {
+        return values == null ? List.of() : values;
+    }
+
+    private record ResolvedPosition(
+            double latitude,
+            double longitude,
+            String source,
+            String geoEventId,
+            String geoEventDomain,
+            Long geoDistanceSeconds
+    ) {
+    }
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/service/DriverNdiLocationCorpusCache.java

@@ -0,0 +1,119 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.service;
+
+import at.procon.eventhub.config.EventHubProperties;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiLocationCorpusSnapshot;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiLocationObservation;
+import java.time.Duration;
+import java.time.Instant;
+import java.util.Comparator;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ConcurrentMap;
+import org.springframework.stereotype.Service;
+
+@Service
+public class DriverNdiLocationCorpusCache {
+
+    private final EventHubProperties properties;
+    private final ConcurrentMap<String, CachedCorpus> corpora = new ConcurrentHashMap<>();
+
+    public DriverNdiLocationCorpusCache(EventHubProperties properties) {
+        this.properties = properties;
+    }
+
+    public DriverNdiLocationCorpusSnapshot merge(
+            String corpusKey,
+            List<DriverNdiLocationObservation> newObservations
+    ) {
+        String normalizedKey = normalizeCorpusKey(corpusKey);
+        Instant now = Instant.now();
+        Duration ttl = properties.getRuntimeProcessing().getNdiLocationCacheTtl();
+        int maxObservations = properties.getRuntimeProcessing().getNdiLocationCacheMaxObservations();
+        MergeMetrics metrics = new MergeMetrics();
+
+        CachedCorpus updated = corpora.compute(normalizedKey, (key, existing) -> {
+            LinkedHashMap<String, DriverNdiLocationObservation> observations = new LinkedHashMap<>();
+            if (existing != null && existing.expiresAt().isAfter(now)) {
+                observations.putAll(existing.observationsById());
+            }
+            metrics.before = observations.size();
+
+            for (DriverNdiLocationObservation observation : safeList(newObservations)) {
+                if (observation == null || observation.observationId() == null || observation.observationId().isBlank()) {
+                    continue;
+                }
+                DriverNdiLocationObservation previous = observations.get(observation.observationId());
+                if (previous == null) {
+                    observations.put(observation.observationId(), observation);
+                    metrics.added++;
+                } else {
+                    observations.put(observation.observationId(), previous.mergeProvenance(observation));
+                }
+            }
+
+            if (observations.size() > maxObservations) {
+                List<DriverNdiLocationObservation> retained = observations.values().stream()
+                        .sorted(Comparator
+                                .comparing(DriverNdiLocationObservation::endedAt, Comparator.nullsFirst(Comparator.naturalOrder()))
+                                .reversed()
+                                .thenComparing(DriverNdiLocationObservation::observationId))
+                        .limit(maxObservations)
+                        .toList();
+                observations.clear();
+                retained.stream()
+                        .sorted(Comparator
+                                .comparing(DriverNdiLocationObservation::startedAt, Comparator.nullsLast(Comparator.naturalOrder()))
+                                .thenComparing(DriverNdiLocationObservation::observationId))
+                        .forEach(value -> observations.put(value.observationId(), value));
+            }
+
+            return new CachedCorpus(
+                    Map.copyOf(observations),
+                    now,
+                    now.plus(ttl)
+            );
+        });
+
+        List<DriverNdiLocationObservation> sorted = updated.observationsById().values().stream()
+                .sorted(Comparator
+                        .comparing(DriverNdiLocationObservation::startedAt, Comparator.nullsLast(Comparator.naturalOrder()))
+                        .thenComparing(DriverNdiLocationObservation::driverKey, Comparator.nullsLast(String::compareTo))
+                        .thenComparing(DriverNdiLocationObservation::observationId))
+                .toList();
+        return new DriverNdiLocationCorpusSnapshot(
+                normalizedKey,
+                metrics.before,
+                metrics.added,
+                sorted.size(),
+                sorted,
+                updated.updatedAt(),
+                updated.expiresAt()
+        );
+    }
+
+    public void clear() {
+        corpora.clear();
+    }
+
+    private String normalizeCorpusKey(String corpusKey) {
+        return corpusKey == null || corpusKey.isBlank() ? "DEFAULT|NDI_HOME_V1" : corpusKey.trim();
+    }
+
+    private <T> List<T> safeList(List<T> values) {
+        return values == null ? List.of() : values;
+    }
+
+    private record CachedCorpus(
+            Map<String, DriverNdiLocationObservation> observationsById,
+            Instant updatedAt,
+            Instant expiresAt
+    ) {
+    }
+
+    private static final class MergeMetrics {
+        private int before;
+        private int added;
+    }
+}

src/main/java/at/procon/eventhub/processing/driverworkingtime/service/DriverWorkingTimeReusableProjectionBuilder.java

@@ -111,6 +111,27 @@ public class DriverWorkingTimeReusableProjectionBuilder {
         );
     }
 
+    /**
+     * Reuses the complete card-absence and boundary-GNSS enrichment pipeline for every
+     * positive non-driving interval. Legacy daily/weekly-rest projections keep their
+     * configured minimum-rest threshold and are not changed by this method.
+     */
+    public List<DriverWorkingTimeRestCoverageInterval> buildAllNonDrivingIntervalCoverage(
+            DriverWorkingTimeProcessingInput input
+    ) {
+        if (input == null) {
+            return List.of();
+        }
+        DriverWorkingTimeDerivedProjectionBundle allNonDrivingProjection = buildDerivedProjectionBundle(
+                buildActivityIntervalInputEvents(input.activityIntervals()),
+                buildVehicleUsageIntervalInputEventsCommon(input.vehicleUsageIntervals()),
+                buildSupportGeoInputEventsCommon(input.sessionId(), input.supportEvidenceEvents()),
+                input.significantDrivingMinutes(),
+                0
+        );
+        return allNonDrivingProjection.dailyWeeklyRestCandidateCoverageIntervals();
+    }
+
     private DriverWorkingTimeDerivedProjectionBundle buildDerivedProjectionBundle(
             List<Map<String, Object>> activityInputEvents,
             List<Map<String, Object>> vehicleUsageInputEvents,
@@ -910,7 +931,7 @@ public class DriverWorkingTimeReusableProjectionBuilder {
                 )
                 .replace(
                         "${MINIMUM_REST_PERIOD_THRESHOLD_SECONDS}",
-                        Long.toString(Math.max(1, minimumRestPeriodMinutes) * 60L)
+                        Long.toString(Math.max(0, minimumRestPeriodMinutes) * 60L)
                 )
                 .replace(
                         "${REST_GEO_LOOKBACK_SECONDS}",

src/main/java/at/procon/eventhub/processing/dto/UnifiedRuntimeDerivedProjectionResultDto.java

@@ -1,8 +1,10 @@
 package at.procon.eventhub.processing.dto;
 
+import at.procon.eventhub.processing.driverworkingtime.dto.DriverWorkingTimeProcessingResultDto;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationResult;
 import at.procon.eventhub.processing.model.UnifiedDiscoveredVehicleRef;
 import at.procon.eventhub.processing.model.UnifiedRuntimeProcessingRequest;
-import at.procon.eventhub.processing.driverworkingtime.dto.DriverWorkingTimeProcessingResultDto;
+import com.fasterxml.jackson.annotation.JsonInclude;
 import java.util.List;
 
 public record UnifiedRuntimeDerivedProjectionResultDto(
@@ -15,7 +17,9 @@ public record UnifiedRuntimeDerivedProjectionResultDto(
         DriverWorkingTimeProcessingResultDto projection,
         List<String> notes,
         RuntimeSupportEvidenceNormalizationDebugDto supportEvidenceNormalization,
-        RuntimeDriverPartitionDebugDto partitionDebug
+        RuntimeDriverPartitionDebugDto partitionDebug,
+        @JsonInclude(JsonInclude.Include.NON_NULL)
+        DriverNdiHomeClassificationResult ndiHomeClassification
 ) {
     public UnifiedRuntimeDerivedProjectionResultDto {
         discoveredVehicles = discoveredVehicles == null ? List.of() : List.copyOf(discoveredVehicles);
@@ -42,6 +46,7 @@ public record UnifiedRuntimeDerivedProjectionResultDto(
                 projection,
                 notes,
                 null,
+                null,
                 null
         );
     }
@@ -67,11 +72,37 @@ public record UnifiedRuntimeDerivedProjectionResultDto(
                 projection,
                 notes,
                 supportEvidenceNormalization,
+                null,
                 null
         );
     }
 
-
+    public UnifiedRuntimeDerivedProjectionResultDto(
+            UnifiedRuntimeProcessingRequest request,
+            int driverSeedEventCount,
+            int discoveredVehicleCount,
+            int expandedVehicleEventCount,
+            int mergedEventCount,
+            List<UnifiedDiscoveredVehicleRef> discoveredVehicles,
+            DriverWorkingTimeProcessingResultDto projection,
+            List<String> notes,
+            RuntimeSupportEvidenceNormalizationDebugDto supportEvidenceNormalization,
+            RuntimeDriverPartitionDebugDto partitionDebug
+    ) {
+        this(
+                request,
+                driverSeedEventCount,
+                discoveredVehicleCount,
+                expandedVehicleEventCount,
+                mergedEventCount,
+                discoveredVehicles,
+                projection,
+                notes,
+                supportEvidenceNormalization,
+                partitionDebug,
+                null
+        );
+    }
 
     public UnifiedRuntimeDerivedProjectionResultDto withPartitionDebug(RuntimeDriverPartitionDebugDto debug) {
         return new UnifiedRuntimeDerivedProjectionResultDto(
@@ -84,7 +115,8 @@ public record UnifiedRuntimeDerivedProjectionResultDto(
                 projection,
                 notes,
                 supportEvidenceNormalization,
-                debug
+                debug,
+                ndiHomeClassification
         );
     }
 }

src/main/java/at/procon/eventhub/processing/eventprocessing/module/DriverWorkingTimeDerivedProjectionsModule.java

@@ -1,6 +1,7 @@
 package at.procon.eventhub.processing.eventprocessing.module;
 
 import at.procon.eventhub.processing.driverworkingtime.dto.DriverWorkingTimeProcessingResultDto;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationScopeResult;
 import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimePreparedInput;
 import at.procon.eventhub.processing.dto.UnifiedRuntimeDerivedProjectionResultDto;
 import at.procon.eventhub.processing.dto.UnifiedRuntimeDriverWorkingTimeScopeResultDto;
@@ -72,7 +73,8 @@ public class DriverWorkingTimeDerivedProjectionsModule implements RuntimeProcess
                         DriverWorkingTimeModuleKeys.VEHICLE_USAGE_MERGE,
                         DriverWorkingTimeModuleKeys.SUPPORT_EVIDENCE_NORMALIZATION
                 ),
-                Set.of("DriverActivityIntervalEvent", "DriverWorkingTimeVehicleUsageInterval", "Map<String, DriverWorkingTimePreparedInput>"),
+                Set.of("DriverActivityIntervalEvent", "DriverWorkingTimeVehicleUsageInterval",
+                        "Map<String, DriverWorkingTimePreparedInput>"),
                 Set.of("UnifiedRuntimeDriverWorkingTimeScopeResultDto")
         );
     }
@@ -86,6 +88,8 @@ public class DriverWorkingTimeDerivedProjectionsModule implements RuntimeProcess
         UnifiedRuntimeEventBundle broadBundle = runtimeEventBundle(context);
         UnifiedRuntimeProcessingApiRequest scopeRequest = scopeRequest(context);
         Map<String, DriverWorkingTimePreparedInput> preparedInputs = preparedInputs(context);
+        DriverNdiHomeClassificationScopeResult ndiHomeClassificationScope =
+                optionalNdiHomeClassificationScope(context);
 
         LinkedHashMap<String, UnifiedRuntimeDerivedProjectionResultDto> driverResults = new LinkedHashMap<>();
         List<String> warnings = new ArrayList<>();
@@ -119,13 +123,19 @@ public class DriverWorkingTimeDerivedProjectionsModule implements RuntimeProcess
                     projection,
                     projection.notes(),
                     preparedInput.partition().supportEvidenceNormalization(),
-                    preparedInput.partition().partitionDebug()
+                    preparedInput.partition().partitionDebug(),
+                    ndiHomeClassificationScope == null
+                            ? null
+                            : ndiHomeClassificationScope.resultForDriver(preparedInput.driverKey())
             ));
         }
 
         List<String> notes = new ArrayList<>(broadBundle.notes());
         notes.add("Runtime driver working-time processing used module-to-module dataflow for event assembly, activity intervalization, vehicle-usage intervalization, evidence attachment, support evidence normalization, and final derived projections.");
         notes.add("Selected driver partitions: " + driverResults.size() + ".");
+        if (ndiHomeClassificationScope != null) {
+            notes.addAll(ndiHomeClassificationScope.notes());
+        }
 
         UnifiedRuntimeDriverWorkingTimeScopeResultDto result = new UnifiedRuntimeDriverWorkingTimeScopeResultDto(
                 broadBundle.request(),
@@ -194,6 +204,17 @@ public class DriverWorkingTimeDerivedProjectionsModule implements RuntimeProcess
                 + " requires previous result " + DriverWorkingTimeModuleKeys.RUNTIME_EVENT_ASSEMBLY + ".");
     }
 
+    private DriverNdiHomeClassificationScopeResult optionalNdiHomeClassificationScope(
+            RuntimeProcessingModuleContext context
+    ) {
+        RuntimeProcessingModuleResult result =
+                context.previousResults().get(DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION);
+        if (result != null && result.output() instanceof DriverNdiHomeClassificationScopeResult scopeResult) {
+            return scopeResult;
+        }
+        return null;
+    }
+
     private UnifiedRuntimeProcessingApiRequest scopeRequest(RuntimeProcessingModuleContext context) {
         Object value = context.attributes().get("runtimeScopeApiRequest");
         if (value instanceof UnifiedRuntimeProcessingApiRequest request) {

src/main/java/at/procon/eventhub/processing/eventprocessing/module/DriverWorkingTimeModuleKeys.java

@@ -10,6 +10,7 @@ public final class DriverWorkingTimeModuleKeys {
     public static final String VEHICLE_USAGE_MERGE = "vehicle-usage-merge";
     public static final String VEHICLE_EVIDENCE_ATTACHMENT = "vehicle-evidence-attachment";
     public static final String SUPPORT_EVIDENCE_NORMALIZATION = "support-evidence-normalization";
+    public static final String NDI_HOME_CLASSIFICATION = "ndi-home-classification";
     public static final String DRIVING_DERIVED_PROJECTIONS = "driving-derived-projections";
 
     private DriverWorkingTimeModuleKeys() {

src/main/java/at/procon/eventhub/processing/eventprocessing/module/NdiHomeClassificationModule.java

@@ -0,0 +1,79 @@
+package at.procon.eventhub.processing.eventprocessing.module;
+
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationScopeResult;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.service.DriverNdiHomeClassificationService;
+import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimePreparedInput;
+import at.procon.eventhub.processing.dto.UnifiedRuntimeProcessingApiRequest;
+import at.procon.eventhub.processing.eventprocessing.plan.RuntimeProcessingModuleDescriptorDto;
+import java.util.LinkedHashMap;
+import java.util.Map;
+import java.util.Set;
+import org.springframework.stereotype.Component;
+
+@Component
+public class NdiHomeClassificationModule implements RuntimeProcessingModule {
+
+    private final DriverNdiHomeClassificationService classificationService;
+
+    public NdiHomeClassificationModule(DriverNdiHomeClassificationService classificationService) {
+        this.classificationService = classificationService;
+    }
+
+    @Override
+    public String moduleKey() {
+        return DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION;
+    }
+
+    @Override
+    public RuntimeProcessingModuleDescriptorDto descriptor() {
+        return new RuntimeProcessingModuleDescriptorDto(
+                moduleKey(),
+                "NDI home classification",
+                "Builds enriched non-driving intervals, accumulates long-rest locations in a driver-aware cache, applies Haversine DBSCAN, and classifies HOME/NOT_HOME using the ordered NDI rules.",
+                "ESPER+JAVA",
+                Set.of(DriverWorkingTimeModuleKeys.SUPPORT_EVIDENCE_NORMALIZATION),
+                Set.of("Map<String, DriverWorkingTimePreparedInput>"),
+                Set.of("DriverNdiHomeClassificationScopeResult")
+        );
+    }
+
+    @Override
+    public RuntimeProcessingModuleResult execute(RuntimeProcessingModuleContext context) {
+        Map<String, DriverWorkingTimePreparedInput> preparedInputs = preparedInputs(context);
+        UnifiedRuntimeProcessingApiRequest scopeRequest = scopeRequest(context);
+        DriverNdiHomeClassificationScopeResult result = classificationService.classifyPreparedInputs(
+                scopeRequest,
+                preparedInputs
+        );
+        Map<String, Object> metadata = new LinkedHashMap<>();
+        metadata.put("corpusKey", result.corpusKey());
+        metadata.put("currentObservationCount", result.currentObservationCount());
+        metadata.put("cachedObservationCount", result.cachedObservationCount());
+        metadata.put("clusterCount", result.clusterCount());
+        metadata.put("driverResultCount", result.driverResults().size());
+        return new RuntimeProcessingModuleResult(
+                moduleKey(),
+                RuntimeProcessingModuleStatus.SUCCESS,
+                result,
+                metadata,
+                java.util.List.of()
+        );
+    }
+
+    private UnifiedRuntimeProcessingApiRequest scopeRequest(RuntimeProcessingModuleContext context) {
+        Object value = context.attributes().get("runtimeScopeApiRequest");
+        if (value instanceof UnifiedRuntimeProcessingApiRequest request) {
+            return request;
+        }
+        return context.request().sourceSelection();
+    }
+
+    @SuppressWarnings("unchecked")
+    private Map<String, DriverWorkingTimePreparedInput> preparedInputs(RuntimeProcessingModuleContext context) {
+        Object output = context.requireResult(DriverWorkingTimeModuleKeys.SUPPORT_EVIDENCE_NORMALIZATION).output();
+        if (output instanceof Map<?, ?> map) {
+            return (Map<String, DriverWorkingTimePreparedInput>) map;
+        }
+        return Map.of();
+    }
+}

src/main/java/at/procon/eventhub/processing/eventprocessing/plan/DriverHomeClassificationRuntimeProcessingPlan.java

@@ -0,0 +1,121 @@
+package at.procon.eventhub.processing.eventprocessing.plan;
+
+import at.procon.eventhub.processing.eventprocessing.module.DriverWorkingTimeModuleKeys;
+import at.procon.eventhub.processing.eventprocessing.partition.RuntimeEventPartitioningStrategy;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import org.springframework.stereotype.Component;
+
+/**
+ * Dedicated public processing-plan entry point for NDI HOME/NOT_HOME classification.
+ *
+ * <p>The implementation deliberately delegates to the shared driver-working-time pipeline so
+ * activity intervalization, vehicle-usage reconciliation, support evidence normalization, and
+ * reusable NDI enrichment keep one source-neutral implementation.</p>
+ */
+@Component
+public class DriverHomeClassificationRuntimeProcessingPlan implements RuntimeProcessingPlan {
+
+    public static final String PLAN_KEY = "driver-home-classification-v1";
+
+    private final DriverWorkingTimeRuntimeProcessingPlan delegate;
+
+    public DriverHomeClassificationRuntimeProcessingPlan(DriverWorkingTimeRuntimeProcessingPlan delegate) {
+        this.delegate = delegate;
+    }
+
+    @Override
+    public String processingPlanKey() {
+        return PLAN_KEY;
+    }
+
+    @Override
+    public RuntimeEventPartitioningStrategy defaultPartitioningStrategy() {
+        return delegate.defaultPartitioningStrategy();
+    }
+
+    @Override
+    public String displayName() {
+        return "Driver NDI home classification";
+    }
+
+    @Override
+    public String description() {
+        return "Builds enriched non-driving intervals, learns company and driver home locations "
+                + "from one or more tachograph file sessions, and applies ordered HOME/NOT_HOME rules.";
+    }
+
+    @Override
+    public List<RuntimeEventPartitioningStrategy> supportedPartitioningStrategies() {
+        return delegate.supportedPartitioningStrategies();
+    }
+
+    @Override
+    public List<RuntimeProcessingModuleDescriptorDto> modules() {
+        return delegate.modules();
+    }
+
+    @Override
+    public Set<String> requiredParameters() {
+        return delegate.requiredParameters();
+    }
+
+    @Override
+    public Set<String> optionalParameters() {
+        return delegate.optionalParameters();
+    }
+
+    @Override
+    public RuntimeProcessingExecutionResultDto execute(RuntimeProcessingExecutionApiRequest request) {
+        RuntimeProcessingExecutionApiRequest delegatedRequest = prepareDelegatedRequest(request);
+        RuntimeProcessingExecutionResultDto result = delegate.execute(delegatedRequest);
+        return new RuntimeProcessingExecutionResultDto(
+                PLAN_KEY,
+                result.executedModules(),
+                result.partitioningStrategy(),
+                result.request(),
+                result.inputEventCount(),
+                result.selectedPartitionCount(),
+                result.discoveredVehicleCount(),
+                result.discoveredVehicles(),
+                result.moduleResults(),
+                result.partitionResults(),
+                result.notes(),
+                result.warnings()
+        );
+    }
+
+    RuntimeProcessingExecutionApiRequest prepareDelegatedRequest(RuntimeProcessingExecutionApiRequest request) {
+        List<String> modules = new ArrayList<>();
+        if (request.modules() != null) {
+            request.modules().stream()
+                    .filter(value -> value != null && !value.isBlank())
+                    .map(String::trim)
+                    .forEach(modules::add);
+        }
+        modules.removeIf(moduleKey -> DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION.equals(moduleKey)
+                || DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS.equals(moduleKey));
+        modules.add(DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION);
+        modules.add(DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS);
+
+        Map<String, Object> parameters = new LinkedHashMap<>();
+        if (request.parameters() != null) {
+            parameters.putAll(request.parameters());
+        }
+        parameters.putIfAbsent(
+                DriverWorkingTimeRuntimeProcessingPlan.NDI_LEARN_ALL_FILE_SESSION_DRIVERS_PARAMETER,
+                true
+        );
+
+        return new RuntimeProcessingExecutionApiRequest(
+                DriverWorkingTimeRuntimeProcessingPlan.PLAN_KEY,
+                request.sourceSelection(),
+                request.partitioning(),
+                List.copyOf(modules),
+                parameters
+        );
+    }
+}

src/main/java/at/procon/eventhub/processing/eventprocessing/plan/DriverWorkingTimeRuntimeProcessingPlan.java

@@ -20,6 +20,7 @@ import at.procon.eventhub.processing.eventprocessing.module.SupportEvidenceNorma
 import at.procon.eventhub.processing.eventprocessing.module.DriverWorkingTimeDerivedProjectionsModule;
 import at.procon.eventhub.processing.service.RuntimeDriverWorkingTimeScopeProcessingService;
 import at.procon.eventhub.processing.eventprocessing.partition.RuntimeEventPartitioningStrategy;
+import at.procon.eventhub.processing.model.UnifiedDiscoveredVehicleRef;
 import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
@@ -37,6 +38,7 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
     public static final String INCLUDE_PARTITION_METADATA_PARAMETER = "includePartitionMetadata";
     public static final String INCLUDE_PARTITION_MODULE_RESULTS_PARAMETER = "includePartitionModuleResults";
     public static final String INCLUDE_SUPPORT_EVIDENCE_NORMALIZATION_PARAMETER = "includeSupportEvidenceNormalization";
+    public static final String NDI_LEARN_ALL_FILE_SESSION_DRIVERS_PARAMETER = "ndiLearnAllFileSessionDrivers";
 
     private final RuntimeProcessingPipelineExecutor pipelineExecutor;
     private final boolean includeRuntimeEventAssemblyModule;
@@ -194,10 +196,19 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                         Set.of("Map<String, DriverWorkingTimeDriverPartition>", "DriverActivityIntervalEvent"),
                         Set.of("RuntimeSupportEvidenceNormalizationDebugDto")
                 ),
+                new RuntimeProcessingModuleDescriptorDto(
+                        DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION,
+                        "NDI home classification",
+                        "Builds enriched non-driving intervals, accumulates long-rest locations across file sessions, clusters them with Haversine DBSCAN, and applies ordered HOME/NOT_HOME rules.",
+                        "ESPER+JAVA",
+                        Set.of(DriverWorkingTimeModuleKeys.SUPPORT_EVIDENCE_NORMALIZATION),
+                        Set.of("Map<String, DriverWorkingTimePreparedInput>"),
+                        Set.of("DriverNdiHomeClassificationScopeResult")
+                ),
                 new RuntimeProcessingModuleDescriptorDto(
                         DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS,
                         "Driving-derived projections",
-                        "Runs the shared driver working-time derived projection module for driving interruptions, rest candidates, trips, and overnight candidates.",
+                        "Runs the shared driver working-time derived projection module for driving interruptions, rest candidates, trips, and overnight candidates; attaches NDI HOME/NOT_HOME classification when that optional module was requested.",
                         "ESPER+JAVA",
                         Set.of(
                                 DriverWorkingTimeModuleKeys.EVENT_TO_ACTIVITY_INTERVALS,
@@ -205,9 +216,13 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                                 DriverWorkingTimeModuleKeys.SUPPORT_EVIDENCE_NORMALIZATION
                         ),
                         Set.of("DriverActivityIntervalEvent", "DriverWorkingTimeVehicleUsageInterval", "Map<String, DriverWorkingTimePreparedInput>"),
-                        Set.of("DriverWorkingTimeProcessingResultDto")
+                        Set.of("DriverWorkingTimeProcessingResultDto", "DriverNdiHomeClassificationResult")
                 )
         ));
+        if (!includeRuntimeEventAssemblyModule) {
+            descriptors.removeIf(descriptor -> DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION
+                    .equals(descriptor.moduleKey()));
+        }
         return List.copyOf(descriptors);
     }
 
@@ -225,6 +240,7 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                 "includeDrivingIntervals",
                 "includePartitionDebug",
                 INCLUDE_SUPPORT_EVIDENCE_NORMALIZATION_PARAMETER,
+                NDI_LEARN_ALL_FILE_SESSION_DRIVERS_PARAMETER,
                 "eventMixingMode"
         );
     }
@@ -266,11 +282,24 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                 request.partitioning(),
                 request.parameters()
         );
-        UnifiedRuntimeProcessingApiRequest scopeRequest = applyExecutionRequest(
+        UnifiedRuntimeProcessingApiRequest requestedScopeRequest = applyExecutionRequest(
                 request.sourceSelection(),
                 request.partitioning(),
                 request.parameters()
         );
+        boolean ndiHomeClassificationRequested = requestsNdiHomeClassification(request.modules());
+        boolean learnAllFileSessionDrivers = booleanParameter(
+                request.parameters(),
+                NDI_LEARN_ALL_FILE_SESSION_DRIVERS_PARAMETER,
+                false
+        );
+        UnifiedRuntimeProcessingApiRequest scopeRequest = expandFileSessionLearningScope(
+                requestedScopeRequest,
+                ndiHomeClassificationRequested && learnAllFileSessionDrivers
+        );
+        Set<String> requestedOutputDriverKeys = requestedOutputDriverKeys(requestedScopeRequest);
+        boolean filterOutputDrivers = !Boolean.TRUE.equals(requestedScopeRequest.includeAllDrivers())
+                && !requestedOutputDriverKeys.isEmpty();
 
         Map<String, Object> attributes = new LinkedHashMap<>();
         attributes.put("runtimeScopeApiRequest", scopeRequest);
@@ -295,6 +324,9 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
 
         Map<String, RuntimeEventProcessingPartitionResultDto> partitionResults = new LinkedHashMap<>();
         workingTimeResult.driverResults().forEach((driverKey, driverResult) -> {
+            if (filterOutputDrivers && !requestedOutputDriverKeys.contains(driverKey)) {
+                return;
+            }
             UnifiedRuntimeDerivedProjectionResultDto shapedDriverResult = shapeDriverResult(
                     driverResult,
                     includeSupportEvidenceNormalization,
@@ -316,18 +348,31 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
             );
         });
 
+        boolean learningScopeExpanded = !scopeRequest.equals(requestedScopeRequest);
+        List<String> resultNotes = new java.util.ArrayList<>(workingTimeResult.notes());
+        if (learningScopeExpanded) {
+            resultNotes.add("NDI location learning expanded the selected tachograph file sessions to all drivers; "
+                    + "the response remains filtered to the originally requested driver partition(s).");
+        }
+        List<UnifiedDiscoveredVehicleRef> responseVehicles = learningScopeExpanded
+                ? selectedDiscoveredVehicles(partitionResults)
+                : workingTimeResult.discoveredVehicles();
+        int responseInputEventCount = learningScopeExpanded
+                ? selectedInputEventCount(partitionResults)
+                : workingTimeResult.inputEventCount();
+
         return new RuntimeProcessingExecutionResultDto(
                 processingPlanKey(),
                 executedModules,
                 RuntimeEventPartitioningStrategy.DRIVER,
-                workingTimeResult.request(),
+                requestedScopeRequest.toRuntimeRequest(),
-                workingTimeResult.inputEventCount(),
+                responseInputEventCount,
-                workingTimeResult.selectedDriverCount(),
+                partitionResults.size(),
-                workingTimeResult.discoveredVehicleCount(),
+                responseVehicles.size(),
-                workingTimeResult.discoveredVehicles(),
+                responseVehicles,
                 includeExecutionModuleResults ? sanitizeExecutionModuleResults(moduleResults) : Map.of(),
                 partitionResults,
-                workingTimeResult.notes(),
+                resultNotes,
                 workingTimeResult.warnings()
         );
     }
@@ -352,6 +397,45 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                 + (output == null ? "null" : output.getClass().getName()));
     }
 
+    private List<UnifiedDiscoveredVehicleRef> selectedDiscoveredVehicles(
+            Map<String, RuntimeEventProcessingPartitionResultDto> partitionResults
+    ) {
+        List<UnifiedDiscoveredVehicleRef> vehicles = new java.util.ArrayList<>();
+        for (RuntimeEventProcessingPartitionResultDto partition : partitionResults.values()) {
+            if (!(partition.result() instanceof UnifiedRuntimeDerivedProjectionResultDto driverResult)) {
+                continue;
+            }
+            for (UnifiedDiscoveredVehicleRef candidate : driverResult.discoveredVehicles()) {
+                boolean merged = false;
+                for (int index = 0; index < vehicles.size(); index++) {
+                    UnifiedDiscoveredVehicleRef existing = vehicles.get(index);
+                    if (existing.matches(candidate)) {
+                        vehicles.set(index, existing.merge(candidate));
+                        merged = true;
+                        break;
+                    }
+                }
+                if (!merged) {
+                    vehicles.add(candidate);
+                }
+            }
+        }
+        vehicles.sort(java.util.Comparator.comparing(UnifiedDiscoveredVehicleRef::stableKey));
+        return List.copyOf(vehicles);
+    }
+
+    private int selectedInputEventCount(
+            Map<String, RuntimeEventProcessingPartitionResultDto> partitionResults
+    ) {
+        long count = partitionResults.values().stream()
+                .map(RuntimeEventProcessingPartitionResultDto::result)
+                .filter(UnifiedRuntimeDerivedProjectionResultDto.class::isInstance)
+                .map(UnifiedRuntimeDerivedProjectionResultDto.class::cast)
+                .mapToLong(UnifiedRuntimeDerivedProjectionResultDto::mergedEventCount)
+                .sum();
+        return (int) Math.min(Integer.MAX_VALUE, Math.max(0L, count));
+    }
+
     private Map<String, RuntimeProcessingModuleResult> sanitizeExecutionModuleResults(
             Map<String, RuntimeProcessingModuleResult> moduleResults
     ) {
@@ -403,6 +487,24 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                         List.of()
                 )
         );
+        if (driverResult.ndiHomeClassification() != null) {
+            results.put(
+                    DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION,
+                    new RuntimeProcessingModuleResult(
+                            DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION,
+                            RuntimeProcessingModuleStatus.SUCCESS,
+                            driverResult.ndiHomeClassification(),
+                            Map.of(
+                                    "nonDrivingIntervalCount", driverResult.ndiHomeClassification().nonDrivingIntervalCount(),
+                                    "cachedActualDriverObservationCount", driverResult.ndiHomeClassification().cachedActualDriverObservationCount(),
+                                    "cachedOtherDriverObservationCount", driverResult.ndiHomeClassification().cachedOtherDriverObservationCount(),
+                                    "companyHomeClusterCount", driverResult.ndiHomeClassification().companyHomeClusterCount(),
+                                    "driverHomeClusterCount", driverResult.ndiHomeClassification().driverHomeClusterCount()
+                            ),
+                            List.of()
+                    )
+            );
+        }
         results.put(
                 DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS,
                 new RuntimeProcessingModuleResult(
@@ -433,6 +535,16 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
         if (driverResult.partitionDebug() != null) {
             metadata.put("partitionDebug", driverResult.partitionDebug());
         }
+        if (driverResult.ndiHomeClassification() != null) {
+            metadata.put("ndiHomeClassification", Map.of(
+                    "nonDrivingIntervalCount", driverResult.ndiHomeClassification().nonDrivingIntervalCount(),
+                    "currentLongLocationObservationCount", driverResult.ndiHomeClassification().currentLongLocationObservationCount(),
+                    "cachedActualDriverObservationCount", driverResult.ndiHomeClassification().cachedActualDriverObservationCount(),
+                    "cachedOtherDriverObservationCount", driverResult.ndiHomeClassification().cachedOtherDriverObservationCount(),
+                    "companyHomeClusterCount", driverResult.ndiHomeClassification().companyHomeClusterCount(),
+                    "driverHomeClusterCount", driverResult.ndiHomeClassification().driverHomeClusterCount()
+            ));
+        }
         return metadata;
     }
 
@@ -451,10 +563,89 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                 driverResult.projection(),
                 driverResult.notes(),
                 includeSupportEvidenceNormalization ? driverResult.supportEvidenceNormalization() : null,
-                includePartitionDebug ? driverResult.partitionDebug() : null
+                includePartitionDebug ? driverResult.partitionDebug() : null,
+                driverResult.ndiHomeClassification()
         );
     }
 
+    UnifiedRuntimeProcessingApiRequest expandFileSessionLearningScope(
+            UnifiedRuntimeProcessingApiRequest request,
+            boolean enabled
+    ) {
+        if (!enabled || !includeRuntimeEventAssemblyModule || request == null || !isFileSessionOnly(request)) {
+            return request;
+        }
+        Set<String> explicitDriverKeys = requestedOutputDriverKeys(request);
+        if (Boolean.TRUE.equals(request.includeAllDrivers()) && explicitDriverKeys.isEmpty()) {
+            return request;
+        }
+        // Without explicit canonical driver keys the response cannot be filtered safely after
+        // broadening the internal learning scope. Keep alternate card/source selectors unchanged.
+        if (explicitDriverKeys.isEmpty()) {
+            return request;
+        }
+        return new UnifiedRuntimeProcessingApiRequest(
+                request.sessionId(),
+                request.sessionIds(),
+                request.compositeSessionId(),
+                request.tenantKey(),
+                request.sourceFamilies(),
+                request.eventBackend(),
+                request.sourceKinds(),
+                null,
+                Set.of(),
+                true,
+                request.vehicleKeys(),
+                request.includeAllVehicles(),
+                null,
+                null,
+                null,
+                request.occurredFrom(),
+                request.occurredTo(),
+                request.expandVehicleEvents(),
+                request.vehicleExpansionPaddingMinutes(),
+                request.includeIntersectingIntervals(),
+                request.significantDrivingMinutes(),
+                request.minimumRestPeriodMinutes(),
+                request.includeActivityIntervals(),
+                request.includeDrivingIntervals(),
+                request.sourceInputs()
+        );
+    }
+
+    private boolean isFileSessionOnly(UnifiedRuntimeProcessingApiRequest request) {
+        if (request.sourceInputs() != null && !request.sourceInputs().isEmpty()) {
+            List<at.procon.eventhub.processing.dto.UnifiedRuntimeSourceInputApiRequest> sourceInputs =
+                    request.sourceInputs().stream().filter(java.util.Objects::nonNull).toList();
+            return !sourceInputs.isEmpty() && sourceInputs.stream().allMatch(input -> input.sourceFamily()
+                    == at.procon.eventhub.processing.model.UnifiedEventSourceFamily.TACHOGRAPH_FILE_SESSION);
+        }
+        if (request.sourceFamilies() != null && !request.sourceFamilies().isEmpty()) {
+            return request.sourceFamilies().stream().allMatch(sourceFamily -> sourceFamily
+                    == at.procon.eventhub.processing.model.UnifiedEventSourceFamily.TACHOGRAPH_FILE_SESSION);
+        }
+        return request.sessionId() != null
+                || (request.sessionIds() != null && !request.sessionIds().isEmpty())
+                || request.compositeSessionId() != null;
+    }
+
+    private Set<String> requestedOutputDriverKeys(UnifiedRuntimeProcessingApiRequest request) {
+        java.util.LinkedHashSet<String> result = new java.util.LinkedHashSet<>();
+        if (request == null) {
+            return Set.of();
+        }
+        if (request.driverKeys() != null) {
+            request.driverKeys().stream()
+                    .filter(value -> value != null && !value.isBlank())
+                    .map(String::trim)
+                    .forEach(result::add);
+        }
+        if (request.driverKey() != null && !request.driverKey().isBlank()) {
+            result.add(request.driverKey().trim());
+        }
+        return Set.copyOf(result);
+    }
+
     public UnifiedRuntimeProcessingApiRequest applyExecutionRequest(
             UnifiedRuntimeProcessingApiRequest sourceSelection,
             RuntimeEventPartitioningApiRequest partitioning,
@@ -567,15 +758,37 @@ public class DriverWorkingTimeRuntimeProcessingPlan implements RuntimeProcessing
                     requested.put(module.trim(), module.trim());
                 }
             }
-            requested.putIfAbsent(DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS,
+            boolean includeNdiHomeClassification =
-                    DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS);
+                    requested.remove(DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION) != null;
+            requested.remove(DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS);
+            if (includeNdiHomeClassification) {
+                requested.put(
+                        DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION,
+                        DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION
+                );
+            }
+            requested.put(
+                    DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS,
+                    DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS
+            );
             return List.copyOf(requested.values());
         }
         return modules().stream()
                 .map(RuntimeProcessingModuleDescriptorDto::moduleKey)
+                .filter(moduleKey -> !DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION.equals(moduleKey))
                 .toList();
     }
 
+    private boolean requestsNdiHomeClassification(List<String> requestedModules) {
+        if (requestedModules == null) {
+            return false;
+        }
+        return requestedModules.stream()
+                .filter(java.util.Objects::nonNull)
+                .map(String::trim)
+                .anyMatch(DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION::equals);
+    }
+
     private boolean booleanParameter(Map<String, Object> parameters, String key, boolean fallback) {
         if (parameters == null || !parameters.containsKey(key)) {
             return fallback;

src/main/resources/application.yml

@@ -128,6 +128,15 @@ eventhub:
     processing:
       operating-split-idle-hours: 7
       significant-driving-minutes: 3
+      ndi-long-minutes: 450
+      ndi-very-long-minutes: 1440
+      ndi-card-removal-percent: 80
+      ndi-visit-share-percent: 25
+      ndi-dbscan-eps-meters: 150
+      ndi-dbscan-min-points: 3
+      ndi-location-cache-ttl: 4h
+      ndi-location-cache-max-observations: 100000
+      ndi-location-cache-namespace: default
       merge-gap-seconds: 0
       gap-detection-tolerance-seconds: 0
       timeline-input-mode: events

src/test/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/service/DriverNdiDbscanClustererTest.java

@@ -0,0 +1,63 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.service;
+
+import static org.assertj.core.api.Assertions.assertThat;
+
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiLocationObservation;
+import java.time.OffsetDateTime;
+import java.util.List;
+import org.junit.jupiter.api.Test;
+
+class DriverNdiDbscanClustererTest {
+
+    private final DriverNdiDbscanClusterer clusterer = new DriverNdiDbscanClusterer();
+
+    @Test
+    void clustersThreeNearbyLocationsAndKeepsRemoteLocationAsNoise() {
+        List<DriverNdiLocationObservation> observations = List.of(
+                observation("A", "D1", 48.20820, 16.37380),
+                observation("B", "D2", 48.20835, 16.37390),
+                observation("C", "D3", 48.20810, 16.37405),
+                observation("D", "D4", 48.25000, 16.45000)
+        );
+
+        DriverNdiDbscanClusterer.ClusterResult result = clusterer.cluster(observations, 150.0d, 3);
+
+        assertThat(result.clusters()).hasSize(1);
+        assertThat(result.assignmentByObservationId().get("A"))
+                .isEqualTo(result.assignmentByObservationId().get("B"))
+                .isEqualTo(result.assignmentByObservationId().get("C"));
+        assertThat(result.assignmentByObservationId().get("D"))
+                .isEqualTo(DriverNdiDbscanClusterer.NOISE_CLUSTER_ID);
+    }
+
+    private DriverNdiLocationObservation observation(
+            String observationId,
+            String driverKey,
+            double latitude,
+            double longitude
+    ) {
+        OffsetDateTime start = OffsetDateTime.parse("2026-05-01T00:00:00Z");
+        return new DriverNdiLocationObservation(
+                observationId,
+                "TENANT",
+                List.of(),
+                null,
+                driverKey,
+                start,
+                start.plusHours(8),
+                8 * 3600L,
+                latitude,
+                longitude,
+                "PREVIOUS_DRIVE_END",
+                null,
+                null,
+                null,
+                "P-" + observationId,
+                "N-" + observationId,
+                "REG-1",
+                "REG-1",
+                "VIN-1",
+                "VIN-1"
+        );
+    }
+}

src/test/java/at/procon/eventhub/processing/driverworkingtime/homeclassification/service/DriverNdiHomeClassificationServiceTest.java

@@ -0,0 +1,301 @@
+package at.procon.eventhub.processing.driverworkingtime.homeclassification.service;
+
+import static org.assertj.core.api.Assertions.assertThat;
+
+import at.procon.eventhub.config.EventHubProperties;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationReason;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationResult;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationScopeResult;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeStatus;
+import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimeRestCoverageInterval;
+import at.procon.eventhub.processing.dto.UnifiedRuntimeProcessingApiRequest;
+import at.procon.eventhub.processing.model.UnifiedEventSourceFamily;
+import java.time.OffsetDateTime;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.UUID;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+
+class DriverNdiHomeClassificationServiceTest {
+
+    private DriverNdiLocationCorpusCache cache;
+    private DriverNdiHomeClassificationService service;
+
+    @BeforeEach
+    void setUp() {
+        EventHubProperties properties = new EventHubProperties();
+        cache = new DriverNdiLocationCorpusCache(properties);
+        service = new DriverNdiHomeClassificationService(
+                null,
+                cache,
+                new DriverNdiDbscanClusterer(),
+                properties
+        );
+    }
+
+    @Test
+    void accumulatesOtherDriverLocationsAcrossFileSessionsAndUsesThemAsCompanyHome() {
+        OffsetDateTime start = OffsetDateTime.parse("2026-05-01T00:00:00Z");
+        Map<String, List<DriverWorkingTimeRestCoverageInterval>> firstSession = new LinkedHashMap<>();
+        firstSession.put("D2", List.of(evidence("D2", start, 8, 48.20820, 16.37380, 0.0d, "VIN-DEPOT", "VIN-DEPOT")));
+        firstSession.put("D3", List.of(evidence("D3", start.plusDays(1), 8, 48.20825, 16.37385, 0.0d, "VIN-DEPOT", "VIN-DEPOT")));
+        firstSession.put("D4", List.of(evidence("D4", start.plusDays(2), 8, 48.20815, 16.37375, 0.0d, "VIN-DEPOT", "VIN-DEPOT")));
+
+        service.classifyEvidence(request(UUID.randomUUID()), firstSession);
+
+        Map<String, List<DriverWorkingTimeRestCoverageInterval>> secondSession = Map.of(
+                "D1",
+                List.of(evidence("D1", start.plusDays(3), 8, 48.20822, 16.37382, 0.0d, "VIN-DEPOT", "VIN-DEPOT"))
+        );
+        DriverNdiHomeClassificationScopeResult result = service.classifyEvidence(
+                request(UUID.randomUUID()),
+                secondSession
+        );
+        DriverNdiHomeClassificationResult driver = result.resultForDriver("D1");
+
+        assertThat(driver.cachedActualDriverObservationCount()).isEqualTo(1);
+        assertThat(driver.cachedOtherDriverObservationCount()).isEqualTo(3);
+        assertThat(driver.companyHomeClusterCount()).isEqualTo(1);
+        assertThat(driver.classifications()).singleElement().satisfies(classification -> {
+            assertThat(classification.status()).isEqualTo(DriverNdiHomeStatus.HOME);
+            assertThat(classification.reason()).isEqualTo(DriverNdiHomeClassificationReason.COMPANY_HOME_CLUSTER);
+        });
+    }
+
+    @Test
+    void identifiesDriverPrivateHomeSeparatelyFromOtherDriverLocations() {
+        OffsetDateTime start = OffsetDateTime.parse("2026-05-01T00:00:00Z");
+        Map<String, List<DriverWorkingTimeRestCoverageInterval>> evidenceByDriver = new LinkedHashMap<>();
+        evidenceByDriver.put("D1", List.of(
+                evidence("D1", start, 8, 48.20820, 16.37380, 0.0d, "VIN-A", "VIN-A"),
+                evidence("D1", start.plusDays(1), 8, 48.20825, 16.37385, 0.0d, "VIN-A", "VIN-A"),
+                evidence("D1", start.plusDays(2), 8, 48.20815, 16.37375, 0.0d, "VIN-A", "VIN-A"),
+                evidence("D1", start.plusDays(3), 8, 48.30000, 16.50000, 0.0d, "VIN-A", "VIN-A")
+        ));
+        for (int index = 0; index < 9; index++) {
+            double latitude = 47.0d + index * 0.1d;
+            double longitude = 14.0d + index * 0.1d;
+            evidenceByDriver.put(
+                    "OTHER-" + index,
+                    List.of(evidence(
+                            "OTHER-" + index,
+                            start.plusDays(10L + index),
+                            8,
+                            latitude,
+                            longitude,
+                            0.0d,
+                            "VIN-" + index,
+                            "VIN-" + index
+                    ))
+            );
+        }
+
+        DriverNdiHomeClassificationResult driver = service.classifyEvidence(
+                request(UUID.randomUUID()),
+                evidenceByDriver
+        ).resultForDriver("D1");
+
+        assertThat(driver.companyHomeClusterCount()).isZero();
+        assertThat(driver.driverHomeClusterCount()).isEqualTo(1);
+        assertThat(driver.classifications().subList(0, 3))
+                .allSatisfy(classification -> {
+                    assertThat(classification.status()).isEqualTo(DriverNdiHomeStatus.HOME);
+                    assertThat(classification.reason()).isEqualTo(DriverNdiHomeClassificationReason.DRIVER_HOME_CLUSTER);
+                });
+        assertThat(driver.classifications().get(3).reason())
+                .isEqualTo(DriverNdiHomeClassificationReason.LONG_REST_OUTSIDE_HOME_CLUSTER);
+    }
+
+    @Test
+    void reprocessingTheSameNdiUpdatesLocationWithoutDuplicatingTheCachedVisit() {
+        OffsetDateTime start = OffsetDateTime.parse("2026-05-01T00:00:00Z");
+        service.classifyEvidence(
+                request(UUID.randomUUID()),
+                Map.of("D1", List.of(evidence("D1", start, 8, 48.20820, 16.37380, 0.0d, "VIN-A", "VIN-A")))
+        );
+
+        DriverNdiHomeClassificationScopeResult result = service.classifyEvidence(
+                request(UUID.randomUUID()),
+                Map.of("D1", List.of(evidence("D1", start, 8, 48.20900, 16.37450, 0.0d, "VIN-A", "VIN-A")))
+        );
+
+        assertThat(result.cachedObservationCount()).isEqualTo(1);
+        assertThat(result.resultForDriver("D1").cachedActualDriverObservationCount()).isEqualTo(1);
+        assertThat(result.resultForDriver("D1").classifications())
+                .singleElement()
+                .satisfies(classification -> {
+                    assertThat(classification.latitude()).isEqualTo(48.20900);
+                    assertThat(classification.longitude()).isEqualTo(16.37450);
+                });
+    }
+
+    @Test
+    void doesNotTreatRegistrationChangeAsVehicleChangeWhenVinIsUnchanged() {
+        OffsetDateTime start = OffsetDateTime.parse("2026-05-01T00:00:00Z");
+        DriverWorkingTimeRestCoverageInterval interval = evidenceWithIdentity(
+                "D1",
+                start,
+                2,
+                null,
+                null,
+                0.0d,
+                "REG-A",
+                "REG-B",
+                "VIN-A",
+                "VIN-A"
+        );
+
+        DriverNdiHomeClassificationResult result = service.classifyEvidence(
+                request(UUID.randomUUID()),
+                Map.of("D1", List.of(interval))
+        ).resultForDriver("D1");
+
+        assertThat(result.classifications()).singleElement().satisfies(classification -> {
+            assertThat(classification.status()).isEqualTo(DriverNdiHomeStatus.NOT_HOME);
+            assertThat(classification.reason()).isEqualTo(DriverNdiHomeClassificationReason.NO_POSITION_SHORT_REST);
+        });
+    }
+
+    @Test
+    void appliesRulesInDocumentOrderBeforeLocationClassification() {
+        OffsetDateTime start = OffsetDateTime.parse("2026-05-01T00:00:00Z");
+        List<DriverWorkingTimeRestCoverageInterval> evidence = List.of(
+                evidence("D1", start, 1, null, null, 0.0d, "VIN-A", "VIN-B"),
+                evidence("D1", start.plusDays(1), 2, null, null, 81.0d, "VIN-A", "VIN-A"),
+                evidence("D1", start.plusDays(2), 25, 48.5, 16.5, 0.0d, "VIN-A", "VIN-A"),
+                evidence("D1", start.plusDays(4), 8, null, null, 0.0d, "VIN-A", "VIN-A"),
+                evidence("D1", start.plusDays(5), 2, null, null, 0.0d, "VIN-A", "VIN-A")
+        );
+
+        DriverNdiHomeClassificationResult driver = service.classifyEvidence(
+                request(UUID.randomUUID()),
+                Map.of("D1", evidence)
+        ).resultForDriver("D1");
+
+        assertThat(driver.classifications())
+                .extracting(value -> value.reason())
+                .containsExactly(
+                        DriverNdiHomeClassificationReason.VEHICLE_CHANGED,
+                        DriverNdiHomeClassificationReason.CARD_REMOVED_OVER_THRESHOLD,
+                        DriverNdiHomeClassificationReason.REST_OVER_VERY_LONG_THRESHOLD,
+                        DriverNdiHomeClassificationReason.NO_POSITION_LONG_REST,
+                        DriverNdiHomeClassificationReason.NO_POSITION_SHORT_REST
+                );
+        assertThat(driver.classifications())
+                .extracting(value -> value.status())
+                .containsExactly(
+                        DriverNdiHomeStatus.HOME,
+                        DriverNdiHomeStatus.HOME,
+                        DriverNdiHomeStatus.HOME,
+                        DriverNdiHomeStatus.HOME,
+                        DriverNdiHomeStatus.NOT_HOME
+                );
+    }
+
+    private UnifiedRuntimeProcessingApiRequest request(UUID sessionId) {
+        return new UnifiedRuntimeProcessingApiRequest(
+                sessionId,
+                List.of(sessionId),
+                null,
+                "TENANT",
+                Set.of(UnifiedEventSourceFamily.TACHOGRAPH_FILE_SESSION),
+                null,
+                Set.of("DRIVER_CARD", "VEHICLE_UNIT"),
+                null,
+                Set.of(),
+                true,
+                Set.of(),
+                true,
+                null,
+                null,
+                null,
+                null,
+                null,
+                true,
+                0,
+                true,
+                3,
+                720,
+                true,
+                true
+        );
+    }
+
+    private DriverWorkingTimeRestCoverageInterval evidence(
+            String driverKey,
+            OffsetDateTime start,
+            int durationHours,
+            Double latitude,
+            Double longitude,
+            double cardAbsentCoveragePercent,
+            String previousVehicle,
+            String nextVehicle
+    ) {
+        return evidenceWithIdentity(
+                driverKey,
+                start,
+                durationHours,
+                latitude,
+                longitude,
+                cardAbsentCoveragePercent,
+                "REG-A",
+                previousVehicle.equals(nextVehicle) ? "REG-A" : "REG-B",
+                previousVehicle,
+                nextVehicle
+        );
+    }
+
+    private DriverWorkingTimeRestCoverageInterval evidenceWithIdentity(
+            String driverKey,
+            OffsetDateTime start,
+            int durationHours,
+            Double latitude,
+            Double longitude,
+            double cardAbsentCoveragePercent,
+            String previousRegistration,
+            String nextRegistration,
+            String previousVehicle,
+            String nextVehicle
+    ) {
+        OffsetDateTime end = start.plusHours(durationHours);
+        long durationSeconds = durationHours * 3600L;
+        return new DriverWorkingTimeRestCoverageInterval(
+                UUID.randomUUID(),
+                driverKey,
+                start,
+                end,
+                durationSeconds,
+                Math.round(durationSeconds * cardAbsentCoveragePercent / 100.0d),
+                cardAbsentCoveragePercent,
+                "DRIVE-BEFORE-" + start,
+                "DRIVE-AFTER-" + start,
+                previousRegistration,
+                nextRegistration,
+                previousVehicle,
+                nextVehicle,
+                null,
+                null,
+                latitude == null ? null : "GEO-" + start,
+                latitude == null ? null : "POSITION",
+                latitude == null ? null : start,
+                latitude,
+                longitude,
+                latitude == null ? null : 0L,
+                null,
+                null,
+                null,
+                null,
+                null,
+                null,
+                null,
+                null,
+                null,
+                null,
+                null,
+                null
+        );
+    }
+}

src/test/java/at/procon/eventhub/processing/driverworkingtime/service/DriverWorkingTimeReusableProjectionBuilderTest.java

@@ -423,4 +423,103 @@ class DriverWorkingTimeReusableProjectionBuilderTest {
                 .isNull();
     }
 
+
+    @Test
+    void buildsEnrichedCoverageForNdiBelowLegacyRestThreshold() {
+        DriverWorkingTimeReusableProjectionBuilder builder =
+                new DriverWorkingTimeReusableProjectionBuilder(new EventHubProperties());
+        UUID sessionId = UUID.randomUUID();
+        OffsetDateTime from = OffsetDateTime.parse("2026-05-01T08:00:00Z");
+        OffsetDateTime firstDriveEnd = OffsetDateTime.parse("2026-05-01T09:00:00Z");
+        OffsetDateTime secondDriveStart = OffsetDateTime.parse("2026-05-01T10:00:00Z");
+        OffsetDateTime to = OffsetDateTime.parse("2026-05-01T11:00:00Z");
+
+        DriverWorkingTimeProcessingInput input = new DriverWorkingTimeProcessingInput(
+                sessionId,
+                "12:123",
+                "DRIVER_CARD",
+                from,
+                to,
+                from,
+                to,
+                3,
+                720,
+                List.of(
+                        new DriverWorkingTimeActivityInterval(
+                                sessionId,
+                                "12:123",
+                                "ACT-1",
+                                "DRIVE",
+                                "DRIVER",
+                                "INSERTED",
+                                "SINGLE",
+                                "12:REG-1",
+                                "VIN-1",
+                                "DRIVER_CARD",
+                                "ACT-1",
+                                "ACT-1",
+                                from,
+                                firstDriveEnd,
+                                from.toEpochSecond(),
+                                firstDriveEnd.toEpochSecond(),
+                                firstDriveEnd.toEpochSecond() - from.toEpochSecond(),
+                                List.of("ACT-1"),
+                                false,
+                                false,
+                                "RAW_INTERVAL"
+                        ),
+                        new DriverWorkingTimeActivityInterval(
+                                sessionId,
+                                "12:123",
+                                "ACT-2",
+                                "DRIVE",
+                                "DRIVER",
+                                "INSERTED",
+                                "SINGLE",
+                                "12:REG-1",
+                                "VIN-1",
+                                "DRIVER_CARD",
+                                "ACT-2",
+                                "ACT-2",
+                                secondDriveStart,
+                                to,
+                                secondDriveStart.toEpochSecond(),
+                                to.toEpochSecond(),
+                                to.toEpochSecond() - secondDriveStart.toEpochSecond(),
+                                List.of("ACT-2"),
+                                false,
+                                false,
+                                "RAW_INTERVAL"
+                        )
+                ),
+                List.of(
+                        new DriverWorkingTimeVehicleUsageInterval(
+                                sessionId,
+                                "12:123",
+                                "VU-1",
+                                "VU-START",
+                                "VU-END",
+                                from,
+                                to,
+                                from.toEpochSecond(),
+                                to.toEpochSecond(),
+                                to.toEpochSecond() - from.toEpochSecond(),
+                                null,
+                                null,
+                                "12:REG-1",
+                                "VIN-1",
+                                "DRIVER_CARD",
+                                List.of("VU-START", "VU-END")
+                        )
+                ),
+                List.of(),
+                List.of()
+        );
+
+        assertThat(builder.buildDerivedProjectionBundle(input).dailyWeeklyRestCandidateCoverageIntervals()).isEmpty();
+        assertThat(builder.buildAllNonDrivingIntervalCoverage(input))
+                .singleElement()
+                .satisfies(interval -> assertThat(interval.durationSeconds()).isEqualTo(3600L));
+    }
+
 }

src/test/java/at/procon/eventhub/processing/eventprocessing/module/DriverWorkingTimeDerivedProjectionsModuleTest.java

@@ -5,6 +5,7 @@ import static org.mockito.ArgumentMatchers.any;
 import static org.mockito.Mockito.when;
 
 import at.procon.eventhub.processing.driverworkingtime.dto.DriverWorkingTimeProcessingResultDto;
+import at.procon.eventhub.processing.driverworkingtime.homeclassification.model.DriverNdiHomeClassificationScopeResult;
 import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimeActivityInterval;
 import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimeDriverPartition;
 import at.procon.eventhub.processing.driverworkingtime.model.DriverWorkingTimePreparedInput;
@@ -202,6 +203,21 @@ class DriverWorkingTimeDerivedProjectionsModuleTest {
                                 Map.of("12:123", preparedInput),
                                 Map.of(),
                                 List.of()
+                        ),
+                        DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION,
+                        new RuntimeProcessingModuleResult(
+                                DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION,
+                                RuntimeProcessingModuleStatus.SUCCESS,
+                                new DriverNdiHomeClassificationScopeResult(
+                                        "TENANT|FILE_SESSION|NDI_HOME_V1",
+                                        0,
+                                        0,
+                                        0,
+                                        Map.of(),
+                                        List.of()
+                                ),
+                                Map.of(),
+                                List.of()
                         )
                 )
         );

src/test/java/at/procon/eventhub/processing/eventprocessing/plan/DriverWorkingTimeRuntimeProcessingPlanTest.java

@@ -8,6 +8,8 @@ import at.procon.eventhub.processing.dto.UnifiedRuntimeDerivedProjectionResultDt
 import at.procon.eventhub.processing.dto.UnifiedRuntimeProcessingApiRequest;
 import at.procon.eventhub.processing.dto.UnifiedRuntimeDriverWorkingTimeScopeResultDto;
 import at.procon.eventhub.processing.eventprocessing.dto.RuntimeEventPartitioningApiRequest;
+import at.procon.eventhub.processing.eventprocessing.module.DriverWorkingTimeModuleKeys;
+import at.procon.eventhub.processing.eventprocessing.module.RuntimeProcessingPipelineExecutor;
 import at.procon.eventhub.processing.eventprocessing.partition.RuntimeEventPartitioningStrategy;
 import at.procon.eventhub.processing.model.UnifiedEventSourceFamily;
 import at.procon.eventhub.processing.model.UnifiedRuntimeProcessingRequest;
@@ -77,6 +79,172 @@ class DriverWorkingTimeRuntimeProcessingPlanTest {
         assertThat(resolved.vehicleExpansionPaddingMinutes()).isEqualTo(15);
     }
 
+    @Test
+    void expandsSelectedFileSessionToAllDriversForNdiLearning() {
+        DriverWorkingTimeRuntimeProcessingPlan plan = new DriverWorkingTimeRuntimeProcessingPlan(
+                Mockito.mock(RuntimeProcessingPipelineExecutor.class)
+        );
+
+        UnifiedRuntimeProcessingApiRequest expanded = plan.expandFileSessionLearningScope(sourceSelection(), true);
+
+        assertThat(expanded.driverKey()).isNull();
+        assertThat(expanded.driverKeys()).isEmpty();
+        assertThat(expanded.includeAllDrivers()).isTrue();
+        assertThat(expanded.sessionId()).isEqualTo(sourceSelection().sessionId());
+    }
+
+    @Test
+    void recognizesSessionOnlySelectionAsFileSessionLearningScope() {
+        DriverWorkingTimeRuntimeProcessingPlan plan = new DriverWorkingTimeRuntimeProcessingPlan(
+                Mockito.mock(RuntimeProcessingPipelineExecutor.class)
+        );
+        UnifiedRuntimeProcessingApiRequest source = sourceSelection();
+        UnifiedRuntimeProcessingApiRequest sessionOnly = new UnifiedRuntimeProcessingApiRequest(
+                source.sessionId(),
+                source.sessionIds(),
+                source.compositeSessionId(),
+                source.tenantKey(),
+                Set.of(),
+                source.eventBackend(),
+                source.sourceKinds(),
+                source.driverKey(),
+                source.driverKeys(),
+                source.includeAllDrivers(),
+                source.vehicleKeys(),
+                source.includeAllVehicles(),
+                source.driverSourceEntityId(),
+                source.driverCardNation(),
+                source.driverCardNumber(),
+                source.occurredFrom(),
+                source.occurredTo(),
+                source.expandVehicleEvents(),
+                source.vehicleExpansionPaddingMinutes(),
+                source.includeIntersectingIntervals(),
+                source.significantDrivingMinutes(),
+                source.minimumRestPeriodMinutes(),
+                source.includeActivityIntervals(),
+                source.includeDrivingIntervals(),
+                source.sourceInputs()
+        );
+
+        UnifiedRuntimeProcessingApiRequest expanded = plan.expandFileSessionLearningScope(sessionOnly, true);
+
+        assertThat(expanded.includeAllDrivers()).isTrue();
+        assertThat(expanded.driverKey()).isNull();
+        assertThat(expanded.sessionId()).isEqualTo(sessionOnly.sessionId());
+    }
+
+    @Test
+    void doesNotExpandAlternateDriverSelectorWithoutCanonicalDriverKey() {
+        DriverWorkingTimeRuntimeProcessingPlan plan = new DriverWorkingTimeRuntimeProcessingPlan(
+                Mockito.mock(RuntimeProcessingPipelineExecutor.class)
+        );
+        UnifiedRuntimeProcessingApiRequest selectedByCard = new UnifiedRuntimeProcessingApiRequest(
+                sourceSelection().sessionId(),
+                sourceSelection().sessionIds(),
+                sourceSelection().compositeSessionId(),
+                sourceSelection().tenantKey(),
+                sourceSelection().sourceFamilies(),
+                sourceSelection().eventBackend(),
+                sourceSelection().sourceKinds(),
+                null,
+                Set.of(),
+                false,
+                sourceSelection().vehicleKeys(),
+                sourceSelection().includeAllVehicles(),
+                "driver-source-1",
+                "A",
+                "CARD-1",
+                sourceSelection().occurredFrom(),
+                sourceSelection().occurredTo(),
+                sourceSelection().expandVehicleEvents(),
+                sourceSelection().vehicleExpansionPaddingMinutes(),
+                sourceSelection().includeIntersectingIntervals(),
+                sourceSelection().significantDrivingMinutes(),
+                sourceSelection().minimumRestPeriodMinutes(),
+                sourceSelection().includeActivityIntervals(),
+                sourceSelection().includeDrivingIntervals(),
+                sourceSelection().sourceInputs()
+        );
+
+        assertThat(plan.expandFileSessionLearningScope(selectedByCard, true)).isSameAs(selectedByCard);
+    }
+
+    @Test
+    void clearsAlternateSelectorsWhenCanonicalDriverKeyAllowsSafeResponseFiltering() {
+        DriverWorkingTimeRuntimeProcessingPlan plan = new DriverWorkingTimeRuntimeProcessingPlan(
+                Mockito.mock(RuntimeProcessingPipelineExecutor.class)
+        );
+        UnifiedRuntimeProcessingApiRequest requested = new UnifiedRuntimeProcessingApiRequest(
+                sourceSelection().sessionId(),
+                sourceSelection().sessionIds(),
+                sourceSelection().compositeSessionId(),
+                sourceSelection().tenantKey(),
+                sourceSelection().sourceFamilies(),
+                sourceSelection().eventBackend(),
+                sourceSelection().sourceKinds(),
+                sourceSelection().driverKey(),
+                sourceSelection().driverKeys(),
+                false,
+                sourceSelection().vehicleKeys(),
+                sourceSelection().includeAllVehicles(),
+                "driver-source-1",
+                "A",
+                "CARD-1",
+                sourceSelection().occurredFrom(),
+                sourceSelection().occurredTo(),
+                sourceSelection().expandVehicleEvents(),
+                sourceSelection().vehicleExpansionPaddingMinutes(),
+                sourceSelection().includeIntersectingIntervals(),
+                sourceSelection().significantDrivingMinutes(),
+                sourceSelection().minimumRestPeriodMinutes(),
+                sourceSelection().includeActivityIntervals(),
+                sourceSelection().includeDrivingIntervals(),
+                sourceSelection().sourceInputs()
+        );
+
+        UnifiedRuntimeProcessingApiRequest expanded = plan.expandFileSessionLearningScope(requested, true);
+
+        assertThat(expanded.includeAllDrivers()).isTrue();
+        assertThat(expanded.driverSourceEntityId()).isNull();
+        assertThat(expanded.driverCardNation()).isNull();
+        assertThat(expanded.driverCardNumber()).isNull();
+    }
+
+    @Test
+    void canDisableAllDriverExpansionForNdiLearning() {
+        DriverWorkingTimeRuntimeProcessingPlan plan = new DriverWorkingTimeRuntimeProcessingPlan(
+                Mockito.mock(RuntimeProcessingPipelineExecutor.class)
+        );
+        UnifiedRuntimeProcessingApiRequest requested = sourceSelection();
+
+        assertThat(plan.expandFileSessionLearningScope(requested, false)).isSameAs(requested);
+    }
+
+    @Test
+    void dedicatedHomePlanForcesNdiBeforeFinalProjectionAndEnablesAllDriverLearning() {
+        DriverHomeClassificationRuntimeProcessingPlan plan = new DriverHomeClassificationRuntimeProcessingPlan(
+                Mockito.mock(DriverWorkingTimeRuntimeProcessingPlan.class)
+        );
+        RuntimeProcessingExecutionApiRequest request = new RuntimeProcessingExecutionApiRequest(
+                DriverHomeClassificationRuntimeProcessingPlan.PLAN_KEY,
+                sourceSelection(),
+                null,
+                List.of(DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS),
+                Map.of()
+        );
+
+        RuntimeProcessingExecutionApiRequest delegated = plan.prepareDelegatedRequest(request);
+
+        assertThat(delegated.processingPlanKey()).isEqualTo(DriverWorkingTimeRuntimeProcessingPlan.PLAN_KEY);
+        assertThat(delegated.modules()).endsWith(
+                DriverWorkingTimeModuleKeys.NDI_HOME_CLASSIFICATION,
+                DriverWorkingTimeModuleKeys.DRIVING_DERIVED_PROJECTIONS
+        );
+        assertThat(delegated.parameters())
+                .containsEntry(DriverWorkingTimeRuntimeProcessingPlan.NDI_LEARN_ALL_FILE_SESSION_DRIVERS_PARAMETER, true);
+    }
+
     @Test
     void executeCanOmitExtendedPartitionPayloads() {
         RuntimeDriverWorkingTimeScopeProcessingService scopeService = Mockito.mock(RuntimeDriverWorkingTimeScopeProcessingService.class);