自动驾驶公共汽车在一个孤立的十字路口上的动态信号优先考虑私家车辆
Hui Li1, Shuxin Li2,3, Xu Zhang1
1School of Civil Engineering, Henan University of Technology, Zhengzhou, 450001, China.
Scientific reports
|October 14, 2023
概括
本研究引入了一个动态信号优先级模型,以减少私家车因过境信号优先级造成的延误. 拟议的方法大大减少了私人车辆在十字路口的平均延误.
科学领域:
- 交通工程是交通工程.
- 优化理论 优化理论
- 互联汽车技术 互联汽车技术
背景情况:
- 运输信号优先级 (TSP) 的实施往往会增加私人车辆的延误.
- 现有的TSP战略可能无法最佳地平衡交通和私人车辆需求.
- 互联汽车环境为动态交通管理提供了新的可能性.
研究的目的:
- 为动态信号优先级开发一个双层编程模型.
- 为了最大限度地减少私人车辆的延误,同时适应过境信号优先级.
- 为了优化基于实时车辆到达率的交通信号周期.
主要方法:
- 一个双层编程模型,集成一个延迟三角形和斯塔克尔伯格游戏理论.
- 使用遗传算法 (GA) 优化动态信号周期.
- 在州使用SUMO (城市交通模拟) 进行模拟和验证.
主要成果:
- 拟议的动态信号优先级将私人车辆的平均延迟减少21.32%,与没有优先级相比.
- 与主动信号优先级相比,私人车辆平均延误的进一步减少为22.63%.
- 来自GA和SUMO的模拟结果证明了模型的有效性和一致性.
结论:
- 开发的动态信号优先级方法有效地最大限度地减少了交叉延迟.
- 这种方法比现有的信号优先级策略有了显著的改进.
- 这种方法提高了连接环境中的整体交叉点运营效率.
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