1P1-D04 Evaluation of the Hazard-Anticipatory Driver Assistance System in Reconstructed Hazardous Scenario by Using Driving Simulator(Car Robotics)
DOI: 10.1299/jsmermd.2012._1p1-d04_1
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Summary
This study addresses the persistent issue of pedestrian accidents at unsignalized intersections, where death rates remain high despite improvements in other traffic safety areas. Existing active safety systems often react only seconds before a collision, resulting in harsh deceleration that risks rear-end collisions and leaves insufficient distance from the pedestrian. To mitigate this, the authors developed and evaluated a hazard-anticipatory driver assistance system designed to predict pedestrian dash-outs and initiate smooth deceleration earlier, mimicking the behavior of experienced drivers. The system calculates a target speed ($V_{lim}$) based on environmental factors such as blind junctions, crosswalks, and sidewalks, using coefficients derived from multiple regression analysis of driving instructor data. For the specific scenario of a blind junction with a crosswalk, the target speed was set to 19 km/h. The automatic brake assist control intervenes when the predicted time to reach the intersection ($T_{ti}$) is 3.5 seconds or less. During intervention, accelerator input is disabled, and the system controls braking until the target speed is reached or the driver applies sufficient brake pressure manually. The evaluation was conducted using a driving simulator that reconstructed near-miss incidents based on a "Yarimiss" (near-miss) database. The scenario involved a pedestrian entering the driver’s field of view with a Time to Collision (TTC) of approximately 15 seconds, moving at 2.2 m/s. Ten participants were divided into two groups: five without the assistance system and five with it. Participants were instructed to obey the 40 km/h speed limit and brake if necessary. Data collected included vehicle speed, brake and accelerator pedal displacement, acceleration, TTC, and relative distance to the pedestrian. The results demonstrated significant improvements in safety metrics with the assistance system. In the control group (no system), three out of five participants failed to avoid a collision, resulting in a minimum TTC of zero. In contrast, all participants using the assistance system avoided collisions, maintaining a minimum TTC of at least 1.5 seconds while keeping a safe distance from the pedestrian. Furthermore, the system reduced the maximum deceleration magnitude compared to the manual braking attempts in the control group, indicating smoother and less abrupt stopping behavior. The study concludes that the hazard-anticipatory system effectively enhances collision avoidance performance and reduces harsh braking, validating its potential for improving pedestrian safety at unsignalized intersections.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-10 |
| archive | success | canonical_url | — | — | 1 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-10 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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