基于深度决定性政策梯度的智能连接专用公交走廊的优先控制
Chunlin Shang1,2, Fenghua Zhu2, Yancai Xu2
1College of Transportation, Ludong University, Yantai 264025, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
这项研究将社会车辆交通信号协调与公共汽车优先在专用车道上进行整合. 新的方法显著减少了所有车辆的平均延误,并减少了交叉路口的巴士站点.
科学领域:
- 交通工程是交通工程.
- 运输科学 运输科学
- 智能运输系统 智能运输系统
背景情况:
- 社会车辆和专用公共汽车车道运营之间存在差异.
- 当前的交通信号协调通常在混合交通中产生低于最佳的结果.
研究的目的:
- 为社会用车和专用公交车道制定一个综合的交通信号控制战略.
- 提高交通流的效率,减少一般交通和公共交通的延误.
主要方法:
- 分析行程时间分布和公共汽车交叉路口通行概率.
- 基于延误损失和公共汽车优先级利益的激励机制的开发.
- 实施深度强化学习框架,用于实时信号调整.
主要成果:
- 与单独的控制相比,平均人均延迟减少了38.63% (常规流量) 和29.7% (和流量).
- 在十字路口减少了52.17%的公共汽车站点 (常规流量) 和高达39.5% (和流量).
结论:
- 综合方法提高了交通信号协调的有效性.
- 交通效率和公共交通运营的显著改善是可以实现的.
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