适应性前方碰撞预警系统用于危险用品卡车司机:考虑到不同的驾驶行为和风险水平
Yichang Shao1, Xiaomeng Shi1, Yi Zhang2
1Jiangsu Key Laboratory of Urban ITS, Southeast University, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, China; School of Transportation, Southeast University, 2 Dongnandaxue Rd, Nanjing, Jiangsu 211189, China.
Accident; analysis and prevention
|July 20, 2023
概括
先进的驾驶辅助系统 (ADAS) 为危险物质卡车司机优化前置碰撞警告 (FCW). 根据驾驶员行为和风险水平量身定制警报,提高了对ADAS技术的安全性和信任.
科学领域:
- 道路安全工程 道路安全工程
- 人与计算机的交互
- 运输系统 运输系统
背景情况:
- 危险物资卡车司机冒险驾驶导致严重事故.
- 先进的驾驶辅助系统 (ADAS) 应用于危险物资卡车,以减轻风险.
- 现有的前方碰撞预警 (FCW) 系统需要针对不同驾驶员配置进行优化.
研究的目的:
- 为危险物资卡车司机开发一个增强的动态FCW模型.
- 根据司机的特点和实时风险,确定最佳警报时间.
- 分析驾驶员对FCW警报的响应机制.
主要方法:
- 使用了一种多目标优化方法.
- 整合实时驾驶风险,驾驶员接受度和驾驶舒适度.
- 基于特征和风险水平的驾驶员反应分析.
主要成果:
- 在高风险条件下,所有驾驶员的最佳预警时间都趋于一致.
- 在中低风险条件下,在不同类型的驾驶员中观察到最佳预警时间的显著差异.
- 激进的司机表现出不同的行为,包括更紧密的后续距离和减少减速.
结论:
- 开发的FCW模型可以为危险物资卡车司机提供个性化的警报.
- 基于驾驶记录的用户配置文件可以预测驾驶员对FCW的反应.
- 增强的FCW系统可以提高驾驶安全和驾驶员对ADAS的信心.
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