分散的无循环游戏理论适应性交通信号控制:在孤立的信号交叉点上进行模型增强和测试
Amr K Shafik1, Hesham A Rakha1
1Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究介绍了一种增强的去中心化纳什谈判 (DNB) 交通信号控制器. 它显著减少了车辆的延迟和队列大小,在不需要预先培训适应性交通控制的情况下,优于现有的方法.
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
- 游戏理论 游戏理论
背景情况:
- 交通信号控制系统对于城市流动性至关重要.
- 现有的方法,如固定时间和执行控制器,在动态交通条件下存在局限性.
- 适应性交通信号控制旨在实时优化交通流量.
研究的目的:
- 增强和评估一个分散的纳什讨价还价 (DNB) 适应性交通信号控制器.
- 通过使用交通密度估计来改进信号时间优化.
- 将国家电气制造商协会 (NEMA) 的控制器配置集成到游戏理论框架中.
主要方法:
- 增强的DNB控制器是使用游戏理论原则开发的.
- 它包括交通密度估计,NEMA分阶段和可适应的控制时间步骤.
- 性能与固定时间 (Webster,LDR),执行和强化学习 (RL) 控制器进行了比较.
主要成果:
- 该DNB控制器表现出优越的性能比预定时和执行控制器.
- 与韦伯斯特的方法相比,它实现了高达54%的平均车辆延迟减少和63%的队列大小减少.
- DNB控制器的性能优于之前开发的RL控制器.
结论:
- 增强的DNB控制器为减少交通拥堵提供了灵活有效的框架.
- 它可以在没有预先培训的情况下动态适应波动的交通需求.
- 这项研究有助于开发更具响应性的城市交通控制系统.
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