SOURCE-LINKED INTELLIGENCE
SIREN-Bench: Behavior-Driven Generation and Evaluation of Emergency-Vehicle Interactions
Emergency vehicles (EMVs) can reorganize surrounding traffic as civilian vehicles brake, change lanes, or form rescue corridors in response to their passage. Evaluating these safety-critical interactions requires behavior-level control over both EMV privileges and civilian responses, together with consistent sensing and ground truth. Existing datasets and simulation benchmarks do not directly provide this combination. We present \textbf{SIREN}, a behavior-driven SUMO--CARLA co-simulation platform for generating EMV--civilian interactions. SIREN couples SUMO's network-level traffic evolution an
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T05:41:34.000Z
First collected: 2026-09-21T10:22:00.206Z. This is not the publication date.