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Data · dataset · 2026

DTC-FM: Expert-Annotated UAV Traffic Conflict and Surrogate Safety Dataset

Listed in Aperta Turkey Open Archive

This dataset ( FME-V ) contains 2,510 expert-annotated traffic interaction and surrogate conflict events extracted from high-resolution UAV video trajectories across 65 intersections (collected under the TÜBİTAK 123M640 / KARDS project) .

Description

It is designed to train, validate, and benchmark classification models (such as the Dual-Threshold Controlled Filter Model - DTC-FM ) aimed at mitigating false alarms in Post-Encroachment Time (PET) and trajectory-based surrogate safety analysis .

The dataset includes:

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  • Kinematic & Geometric Features: Core and derived trajectory-based metrics (e.g., , , , , velocities , acceleration , conflict angle , and total object count ) . · Interaction Class / Sequence: Road user interaction types provided in native categorical (character/string) format representing vehicle and vulnerable road user (VRU) encounter sequences.
  • Ground Truth Target ( ): Expert consensus binary labels ( 1: Surrogate Conflict , 0: Normal Interaction / Undisturbed Pass ) established through deliberated expert consensus .

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Video 75%
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Aperta Turkey Open Archive3028439 d agoJSON v1
FieldAssertionExtractorEvidence
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