一种CAV-Lead速度建议方法,考虑在瓶附近的局部时空交通状态
Danni Cao1, Yunchao Qu2, Jianhua Chen3
1School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, Beijing, China.
Accident; analysis and prevention
|October 1, 2024
概括
连接和自动驾驶汽车 (CAV) 可以减轻高速公路瓶的影响. 新的CAV-Lead算法优化了混合交通中的CAV速度,改善了高速公路的整体容量和交通流量,特别是在高需求的情况下.
科学领域:
- 智能运输系统 智能运输系统
- 交通工程是交通工程.
- 自动驾驶汽车技术自动驾驶汽车技术
背景情况:
- 由事故或工作区引起的高速公路瓶大大降低了交通吞吐量和运营效率.
- 互联和自动驾驶汽车 (CAV) 为提高交通安全和运营协调提供了潜在的解决方案.
研究的目的:
- 开发和评估一种新的算法 (CAV-Lead),用于在混合交通环境中优化CAV速度,以提高靠近瓶的高速公路容量.
主要方法:
- 提出了考虑微观和宏观交通特征的CAV-Lead算法.
- 根据CAV和人驾驶车辆 (HV) 混合流动中的局部时空交通状态来确定CAV速度.
- 实现了一个实时模拟控制框架,用于随机的HV行为.
主要成果:
- CAV-Lead算法证明了交通性能的提高,特别是在高交通需求的场景下.
- 评估显示,高速公路容量利用率提高,CAV市场透率 (MPR) 不同.
- 与基本场景的比较和类似的研究验证了算法的有效性.
结论:
- 在混合交通条件下,CAV-Lead算法有效地提高了高速公路瓶的交通流量和容量利用率.
- 交通运输系统提供了一种可行的策略,可以缓解交通拥堵并提高运输系统的整体效率.
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