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优化自动驾驶出租车部署在曲的十字路口安全:一个模拟研究研究.

Zi Yang1, Yaojie Yao1, Liyan Zhang2

  • 1School of Automation, Nanjing University of Science and Technology, Nanjing 210044, China.

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|September 19, 2025
PubMed
概括

自动驾驶出租车 (AT) 在偏斜的十字路口的最佳部署需要特定的透率 (0.5-0.7),以最大限度地提高安全性. 连接和类似人类的驾驶策略并不总是改善TTC等安全指标.

关键词:
自动驾驶出租车自动驾驶出租车交叉路口安全交叉路口安全歪歪的交叉点的交叉点

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科学领域:

  • 交通工程是交通工程.
  • 自主系统安全安全自主系统安全
  • 智能运输系统 智能运输系统

背景情况:

  • 扭曲的交叉路口对交通流动提出了独特的安全挑战.
  • 越来越多的自动驾驶出租车 (AT) 需要了解它们对十字路口安全的影响.

研究的目的:

  • 优化自动驾驶出租车 (AT) 的部署,以提高在扭曲交叉路口的安全性.
  • 确定最佳的AT透率和控制策略,以提高安全性.

主要方法:

  • 使用VISSIM和代理安全评估模型 (SSAM) 采用基于模拟的方法.
  • 分析了安全指标,如碰撞时间 (TTC) 和入侵后时间 (PET).
  • 在不同的AT控制策略下检查了冲突模式 (交叉,变车道,后端).

主要成果:

  • 确定了0.5-0.7的最佳AT透率;更高的速度可能会降低安全性.
  • 在AT之间的连接没有显示与安全改进的线性相关性.
  • "正常"控制策略表明,AT透和TTC之间存在直接联系,这表明潜在的安全性下降.

结论:

  • 量身定制的交通管理策略对于扭曲交叉路口的ATS至关重要.
  • 部署政策应该考虑对自动化水平和安全透率的细微方法.
  • 需要进一步的研究,以告知交通管理和安全和有效的AT集成的政策框架.