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<p>Injury values associated with left turn across path-opposite direction (LTAP/OD) crashes at intersections are analyzed by considering the left-turn paths of automated driving vehicles. To establish crash boundary conditions, conventional vehicle accident databases and automated driving data are utilized. The crash speeds of opposite-direction vehicles are derived from the National Highway Traffic Safety Administration (NHTSA) database, while the pre-crash speeds of left-turning vehicles are calculated using the nuScenes public automated driving dataset. Crash points were identified and classified into 12 distinct locations based on vehicle frontal structure and energy absorption characteristics. Driving paths are designated based on the similarity between automated vehicle trajectories and intersection driving paths defined by European New Car Assessment Programme (Euro NCAP) regulations. Using these derived speed conditions, impact locations, and driving trajectories, path-based crash boundary conditions are established through path simulations. A vehicle-to-vehicle crash simulation model is then constructed using the calculated crash parameters, followed by simulations to evaluate crash severity. For each case, head, brain, neck, and chest injury values are calculated, and the severity of injuries under various crash conditions is systematically analyzed.</p>

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Injury Severity in Crossroad Car-to-Car Accidents Considering Pathway of Automated Vehicles

  • 期刊论文

  • 发表日期：

    2025年10月14日

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  • Moonyoung Kim,
  • Yunsik Shin,
  • Jayil Jeong

摘要

Injury values associated with left turn across path-opposite direction (LTAP/OD) crashes at intersections are analyzed by considering the left-turn paths of automated driving vehicles. To establish crash boundary conditions, conventional vehicle accident databases and automated driving data are utilized. The crash speeds of opposite-direction vehicles are derived from the National Highway Traffic Safety Administration (NHTSA) database, while the pre-crash speeds of left-turning vehicles are calculated using the nuScenes public automated driving dataset. Crash points were identified and classified into 12 distinct locations based on vehicle frontal structure and energy absorption characteristics. Driving paths are designated based on the similarity between automated vehicle trajectories and intersection driving paths defined by European New Car Assessment Programme (Euro NCAP) regulations. Using these derived speed conditions, impact locations, and driving trajectories, path-based crash boundary conditions are established through path simulations. A vehicle-to-vehicle crash simulation model is then constructed using the calculated crash parameters, followed by simulations to evaluate crash severity. For each case, head, brain, neck, and chest injury values are calculated, and the severity of injuries under various crash conditions is systematically analyzed.