在城市道路网络中通过合作游戏方法进行交通排放控制的分布式优化
Zhao Zhou1, Junhan Shen1, Qun Wu1
1Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China.
Chaos (Woodbury, N.Y.)
|May 1, 2025
概括
本研究提出了交通信号的合作游戏策略,平衡减排和效率. 分布式方法显著缩短了计算时间,同时降低了交通排放.
科学领域:
- 交通工程是交通工程.
- 环境科学 环境科学
- 运营研究 运营研究
背景情况:
- 交通拥堵导致排放量增加和信号控制中的计算挑战.
- 集中交通信号优化可能是计算密集和低效的.
- 平衡交通流量,减排和计算成本对于可持续的城市流动至关重要.
研究的目的:
- 开发一个以合作游戏为基础的交通信号分布式优化策略.
- 与现有方法相比,提高计算效率和减少交通排放.
- 调查在不同的交通条件下策略的有效性.
主要方法:
- 使用宏观链路交通流动模型和微观车辆排放模型.
- 应用了合作游戏框架来实现子网络间的通信和协调.
- 使用增强的拉格朗日交替方向不准确的牛顿 (ALADIN) 算法分解了优化问题.
主要成果:
- 分布式合作方法非常接近集中控制的性能.
- 与集中式方法相比,平均计算时间减少了48.58%.
- 与固定时间控制相比,在高峰和非高峰时段减少至少3.3%的交通排放.
结论:
- 基于合作游戏的分布式优化策略有效地平衡了减少交通排放和计算效率.
- 阿拉丁算法促进了交通子网络之间的有效协作.
- 这种方法提供了一个计算效率高,对环境有益的替代方案,而不是集中和固定时间的交通控制.
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