基于城市道路网络的本地交通负载,有效的绕道感知动态路由
Jie Chen1, Yantao Zhang2, Xin Hong1
1Anhui Normal University, School of Computer and Information, Wuhu 241003, People's Republic of China.
Physical review. E
|December 23, 2025
概括
使用本地交通负载 (LTL) 信息的新去中心化交通路线策略显著提高了城市交通效率. 这种方法平衡了距离与实时拥堵,提高了吞吐量和稳定性,以实现更智能的交通管理.
科学领域:
- 运输工程 运输工程
- 复杂系统科学 复杂系统科学
- 城市规划 城市规划
背景情况:
- 传统的交通路由依赖于静态路径或全球优化,往往无法适应实时城市拥堵.
- 动态交通管理对于改善城市流动性和减少旅行时间至关重要.
研究的目的:
- 引入和评估基于本地交通负载 (LTL) 信息的去中心化交通路由策略.
- 评估该战略在提高城市交通网络性能方面的有效性.
主要方法:
- 使用二维蜂自动机模型模拟交通动态.
- 评估关键绩效指标:平均速度,流量和到达率.
- 在现实世界城市网络拓上测试战略的稳定性.
主要成果:
- 基于LTL的策略显著提高了各种交通密度的系统吞吐量和稳定性.
- 该战略有效地通过当地知情的绕道来抑制拥堵积累和空间异质性.
- 在现实的城市网络结构上验证了性能改善.
结论:
- 利用本地反的分散路由策略,为城市拥堵提供可扩展和适应的解决方案.
- LTL方法为动态绕道决策提供了一种计算效率高的方法.
- 这一战略代表了智能运输系统的有希望的进步.
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