探索自动驾驶汽车碰撞风险:系统合效应和关键因果因素
Lilu Sun1, Songlin Cheng2, Xueying Wang2
1Department of Management, Chongqing University of Technology, Chongqing, China.
Journal of safety research
|September 10, 2025
概括
自动驾驶车辆的撞车受到系统不参与,车辆问题和环境因素的影响. 了解这些原因是改善自动驾驶安全和政策制定的关键.
科学领域:
- 汽车工程 汽车工程
- 交通安全 交通安全
- 人工智能的人工智能
背景情况:
- 自动驾驶技术正在迅速发展,为汽车智能和安全设定了新的基准.
- 然而,自动驾驶汽车事故引发了公众和政府的担忧,需要对事故原因进行彻底分析.
- 了解撞车原因对于技术进步,乘客安全以及汽车工业的未来至关重要.
研究的目的:
- 构建一个自动驾驶汽车撞车原因系统和风险合度量模型.
- 在复杂的交通环境中调查风险系统和碰撞合效应之间的相互作用.
- 确定导致自动驾驶汽车事故的关键因果因素.
主要方法:
- 使用AVOID全球自动驾驶汽车操作事件数据集.
- 采用了徒步旅行优化算法,递归特征消除,N-K模型和贝叶斯网络.
- 开发了一种事故原因系统和风险合度量模型.
主要成果:
- 开发的撞车原因系统表现出高稳定性和稳健性.
- 碰撞风险与合系统的数量有积极的相关性;关键因素包括不接触,折旧,超速,突然停车,不受约束的乘客以及黑暗等环境条件.
- 车辆缺陷和恶劣的环境条件显著增加了碰撞风险,特别是在多个系统的合下.
结论:
- 确定了自动驾驶汽车事故中风险系统合的机制.
- 确定了导致自动驾驶汽车事故的关键因果因素.
- 提供理论支持,以提高自动驾驶汽车的安全性,并为交通安全政策提供信息.
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