基于车辆平均延迟模型的区域交通信号协调优化控制

H. Cao, Jie Luo
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引用次数: 1

摘要

本文研究了区域路网交通信号协调控制的挑战性问题。通过分析区域路网交通流的动态特性,提出了区域车辆延误模型,并建立了车辆平均延误最小的目标函数。针对目标函数的高维特性,提出了一种混沌遗传优化算法,提高了全局优化的效率。最后,通过实际路网微观仿真实验,验证了本文提出的延迟模型和协调优化方法能够有效提高区域路网的交通效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coordinated Optimization Control of Regional Traffic Signals Based on Vehicle Average Delay Model
This paper addresses the challenging problem of coordinated control of regional road network traffic signals. By analyzing the dynamic characteristics of regional road network traffic flow, we propose a regional vehicle delay model and establish the objective function of minimizing the vehicle average delay. Considering the high-dimensional characteristics of the objective function, a chaos genetic optimization algorithm is proposed to improve the efficiency of global optimization. Finally, we implement the real-world road network micro-simulation experiment to demonstrate that our proposed delay model and coordinated optimization method can effectively improve the traffic efficiency of the regional road network.
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