Advancing crash investigation with connected and automated vehicle data - Phase 2 [R42]

This project aims to identify training needs in the area of automated driving systems (ADS) for law enforcement officers and crash investigators to identify data available for connected and automated vehicles (CAV) that can augment modern crash investigation procedures. The objective of this project is to investigate these two topics by engaging professional collision investigators for perspectives on augmenting investigations with CAV data and reconnect with law enforcement to identify training gaps. The research findings and products will be of interest to law enforcement, state agencies such as DOT and DMV, private sector crash investigators, and advocates for safety such as AAA Foundation. This work expands on CSCRS Project R25 Advancing Crash Investigation with Connected and Automated Vehicle Data which focused exclusively on the perspectives of law enforcement officers. Two key findings of the previous work showed that law enforcement tended to focus their recommendations on current shortcomings in collision investigation data, rather than on an expansion of data collection capabilities, and this focus was likely related to a lack of exposure to ADS technology.

本项目旨在明确执法人员与事故调查员在自动驾驶系统（ADS）领域的培训需求，并识别可用于网联自动驾驶汽车（CAV）、能够增强现代事故调查流程的数据。项目目标是通过两种方式研究上述主题：一是邀请专业碰撞调查员参与，获取其关于利用CAV数据优化调查工作的观点；二是与执法部门重新对接，找出培训缺口。研究成果与产出将对执法部门、州级机构（如交通部DOT和机动车管理局DMV）、私营领域事故调查员及安全倡导组织（如AAA基金会）具有重要参考价值。本工作是对CSCRS项目R25“利用网联自动驾驶汽车数据推进事故调查”的拓展——该项目此前仅聚焦于执法人员的视角。前期研究的两项关键发现显示：执法人员的建议往往集中于当前碰撞调查数据的不足，而非数据收集能力的拓展；这种聚焦倾向可能与他们对ADS技术接触不足相关。