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Signed-off-by: Moritz Schweppenhaeuser <moritz.schweppenhaeuser@fokus.fraunhofer.de>
Add AggregatedSpatioTemporalProcessor to aggregate traffic metrics over configurable time intervals, significantly reducing data volume while preserving analytical value. Refactoring: - Extract AbstractSpatioTemporalProcessor base class with shared logic - Refactor SpatioTemporalProcessor to extend base (273→92 lines, 66% reduction) - Replace custom aggregation with MOSAIC Aggregator class - Eliminate 265+ lines of duplicate code across processors - Introduce ComputedMetrics record for consistent data transfer Storage Layer: - Add insertAggregatedTraversalMetrics() to FcdDataStorage interface - Implement SQLite storage with aggregated_traversal_metrics table - Implement Parquet storage with aggregated_metrics.parquet output - Add AggregatedMetricRecord for Parquet serialization Configuration: - Add example config to BeST scenario TseServerApp.json - Add AGGREGATED_PROCESSOR_EXAMPLE.md documentation - Support configurable aggregationInterval and processingDelay Build: - Add fcd-shaded-jar Maven profile for standalone JAR creation Benefits: - Reduces storage requirements (865 traversals → ~50 intervals) - Maintains temporal and spatial mean speed accuracy - Enables min/max/variance analysis via MOSAIC Aggregator - Single source of truth for metric computation logic - Handles late-arriving data with configurable processing delay
- Add naiveMeanSpeed and speedPerformanceIndex to ComputedMetrics - Store speedPerformanceIndex in traversal_metrics (Parquet) - Aggregate and store naiveMeanSpeed and speedPerformanceIndex in aggregated_traversal_metrics (SQLite and Parquet) - Update FcdDataStorage interface and implementations
- Calculate average Speed Performance Index in getAveragesForInterval - Pass calculated value instead of null to TraversalStatistics constructor
- Limit SPI values to 1.0 even if vehicles exceed max speed - Prevents misleading metrics > 100% performance
- Limit SPI values to 1.0 even if vehicles exceed max speed - Prevents misleading metrics > 100% performance
Signed-off-by: Moritz Schweppenhaeuser <moritz.schweppenhaeuser@fokus.fraunhofer.de>
Signed-off-by: Moritz Schweppenhaeuser <moritz.schweppenhaeuser@fokus.fraunhofer.de>
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Description
This PR introduces comprehensive support for storing Traffic State Estimation (TSE) data using Apache Parquet and adds new aggregation capabilities for traffic metrics.
Key Changes
FcdParquetStorage):fcd_records.parquet) as GeoParquet.traversal_metrics.parquet).aggregated_metrics.parquet).thresholds.parquet).connection_data.parquet).ParquetSinkAPI to allow for custom data extensions.AggregatedSpatioTemporalProcessorto compute and store metrics over configurable time intervals (e.g., 15-minute windows).processingDelayto handle late-arriving data in distributed simulations.AbstractSpatioTemporalProcessorto reduce code duplication between the standard and aggregated processors.FcdDataStorageinterface to support aggregated metric insertion.PARQUET_SUPPORT.md(merged intoREADME.md) detailing configuration and usage of the new Parquet features.AGENTS.mdandREADME.mdto reflect the new architecture and build options.Affected parts of the online documentation
FcdParquetStorage.AggregatedSpatioTemporalProcessor.Definition of Done
Prerequisites
Required
type(scope): descriptionorigin/mainhas been merged into your Fork.Special notes to reviewer
FcdParquetStorageimplementation includes a mechanism to rewrite thetraversal_metrics.parquetfile when Relative Traffic Status Metrics (RTSM) are updated, as Parquet files are immutable. This is handled by caching relevant records in memory and rewriting the file upon update.fcd-shaded-jarhas been added to build a standalone JAR with all dependencies, which is useful for deployment in environments where dependencies are not provided by the container.