对自动驾驶汽车在十字路口发生事故的前碰撞情景和促成因素的分析
Qian Liu1, Xuesong Wang2, Shikun Liu1
1School of Transportation Engineering, Tongji University, Shanghai 201804, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China.
Accident; analysis and prevention
|November 20, 2023
概括
在十字路口发生的自动驾驶车辆 (AV) 撞车事故往往是后端或车道更改事故. 分析显示,自动驾驶汽车的决策,以及不充分的停车,导致了这些常见的自动驾驶汽车 (AV) 事故.
科学领域:
- 交通安全 交通安全 交通安全
- 自动驾驶汽车技术自动驾驶汽车技术
- 崩原因分析 崩原因分析
背景情况:
- 交叉路口对自动驾驶汽车 (AV) 构成重大风险.
- 有限的AV数据和不同的事故前情景使研究复杂化.
- 关联规则挖掘为分析有限数据提供了一种可行的方法.
研究的目的:
- 分析AV车辆在十字路口发生碰撞的特征和因素,使用碰撞前的场景.
- 从最近的AV数据中识别常见的崩类型及其潜在原因.
- 为改善AV安全系统和交通管理提供见解.
主要方法:
- 在5年AV车祸数据 (197次交叉路口撞车) 上利用协会规则挖掘.
- 识别和分类了30个不同的事故前情景.
- 从AV决策的角度分析了导致因素和机原因.
主要成果:
- 最常见的AV交叉路口撞车场景是后端 (58.88%) 和变更车道 (16.24%).
- 自动驾驶汽车最常被常规车辆 (58.38%) 撞向后方.
- 后端碰撞的关键因素包括位置,交通控制和AV模式;车道更改因素包括停车和时间.
结论:
- 不适当的AV决策 (例如,停止,避免碰撞) 是十字路口碰撞的关键原因.
- 这些发现为AV运营设计领域,自动驾驶系统 (ADS) 开发和交通安全法规提供了信息.
- 这项研究为提高复杂交叉环境中的AV安全提供了关键的见解.
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