{"ID":2847460,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.11802","arxiv_id":"2512.11802","title":"Benchmarking Tesla's Traffic Light and Stop Sign Control: Field Dataset and Behavior Insights","abstract":"Understanding how Advanced Driver-Assistance Systems (ADAS) interact with Traffic Control Devices (TCDs) is critical for assessing their influence on traffic operations, yet this interaction has received little focused empirical study. This paper presents a field dataset and behavioral analysis of Tesla's Traffic Light and Stop Sign Control (TLSSC), a mature ADAS that perceives traffic lights and stop signs. We design and execute experiments across varied speed limits and TCD types, collecting synchronized high-resolution vehicle trajectory data and driver-perspective video. From these data, we develop a taxonomy of TLSSC-TCD interaction behaviors (i.e., stopping, accelerating, and car following) and calibrate the Full Velocity Difference Model (FVDM) to quantitatively characterize each behavior mode. A novel empirical insight is the identification of a car-following threshold (~90 m). Calibration results reveal that stopping behavior is driven by strong responsiveness to both desired speed deviation and relative speed, whereas accelerating behavior is more conservative. Intersection car-following behavior exhibits smoother dynamics and tighter headways compared to standard car-following behaviors. The established dataset, behavior definitions, and model characterizations together provide a foundation for future simulation, safety evaluation, and design of ADAS-TCD interaction logic. Our dataset is available at GitHub.","short_abstract":"Understanding how Advanced Driver-Assistance Systems (ADAS) interact with Traffic Control Devices (TCDs) is critical for assessing their influence on traffic operations, yet this interaction has received little focused empirical study. This paper presents a field dataset and behavioral analysis of Tesla's Traffic Light...","url_abs":"https://arxiv.org/abs/2512.11802","url_pdf":"https://arxiv.org/pdf/2512.11802v1","authors":"[\"Zheng Li\",\"Peng Zhang\",\"Shixiao Liang\",\"Hang Zhou\",\"Chengyuan Ma\",\"Handong Yao\",\"Qianwen Li\",\"Xiaopeng Li\"]","published":"2025-10-31T05:38:32Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.CV\",\"cs.HC\"]","methods":"[]","has_code":false}