在自动驾驶汽车和常规车辆之间的两辆车辆碰撞中,分类撞车原因模式
Jie Wang1, Yibo Chen1, Shun Li1
1School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha, Hunan, China.
Traffic injury prevention
|January 13, 2025
概括
大多数自动驾驶汽车 (AV) 和常规车辆 (CV) 的碰撞都是由于常规车辆未能适应AV行为造成的. 改善AV-CV互动和CV驾驶员培训对于提高道路安全至关重要.
科学领域:
- 道路安全研究 道路安全研究
- 自动驾驶汽车技术自动驾驶汽车技术
- 人与计算机在交通中的交互.
背景情况:
- 现有的自动驾驶汽车 (AV) 事故研究主要集中在自动驾驶系统故障上.
- 在了解自动驾驶汽车和常规车辆 (CV) 碰撞的因果因素方面存在差距,特别是关于它们的相互作用.
研究的目的:
- 为AV-CV碰撞中碰撞原因模式开发一个分类框架.
- 分析AV和CV之间的相互作用导致两辆车的碰撞.
- 确定AV-CV碰撞的主要原因和促成因素.
主要方法:
- 开发了5种类型的分类框架,用于事故造成模式.
- 通过使用专门的AV撞车数据集,分析了450起涉及AV和CV的两辆车辆碰撞.
- 根据AV系统故障,接管控制问题,接管后的驾驶员错误,CV适应失败和其他CV相关因素来分类崩.
主要成果:
- 大多数AV-CV碰撞 (55%) 归因于传统车辆未能适应自动驾驶车辆的行为 (模式4).
- CVs 对 AVs 停止的不适当反应是这些碰撞的主要原因.
- 涉及人类驾驶员错误的碰撞 (模式3,4,5) 会导致更严重的伤害,而模式4经常导致后方碰撞.
结论:
- 传统车辆的行为是AV-CV碰撞的重要因素.
- 建议包括尽量减少AV规划错误,增强AV-CV通信,并为混合交通环境实施专门的驾驶员培训.
- 提高传统车辆驾驶员对自动驾驶汽车的适应能力和反应,对于未来的道路安全至关重要.
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