协同优化信号和生态驾驶速度指导在连接环境中为没有专用公交车道的公共汽车提供信号和生态驾驶速度指导
Hui Li1, Yunfei Ge2, Yuzhou Duan2
1School of Civil Engineering, Henan University of Technology, Zhengzhou, 450001, China. lihui1989@haut.edu.cn.
Scientific reports
|December 27, 2024
概括
本研究引入了没有专用车道的过境信号优先级 (TSP) 的合作控制方法,优化了公共汽车运营并减少了排放. 该方法平衡了公共汽车优先级,减少对私人车辆的影响,提高城市交通效率.
科学领域:
- 交通工程是交通工程.
- 智能运输系统 智能运输系统
- 环境科学 环境科学
背景情况:
- 交通信号优先级 (TSP) 对公共交通效率至关重要,但往往忽视私人车辆的影响和排放.
- 现有的TSP策略专注于专用车道,限制了混合交通环境中的适用性.
- 互联汽车技术使先进的TSP策略成为可能,这需要针对非专用车道的新方法.
研究的目的:
- 开发和评估没有专用公交车道的TSP的合作控制方法.
- 为了优化公共汽车和私人车辆交叉路口的延误.
- 为了减少与公共汽车速度波动相关的碳排放.
主要方法:
- 提出了一种集成信号控制和生态驾驶速度指导在连接环境中的合作控制方法.
- 使用扩展卡尔曼波器来预测公共汽车到达时间和信号状态.
- 采用基因算法来优化相位调整和总线轨迹.
主要成果:
- 拟议的方法证明了显著的公共汽车优先级和碳排放减少的好处.
- 在没有专用车道的情况下,有效确保公共汽车运行稳定.
- 在一定程度上减轻了TSP对私人车辆交通流量的不利影响.
结论:
- 合作控制方法为在没有专用车道的混合交通条件下增强TSP提供了可行的解决方案.
- 这种方法平衡了运输效率,环境效益和对其他道路使用者的影响.
- 未来的研究可以进一步完善生态驱动策略,并探索更广泛的实施.
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