Immunity genetic algorithms based adaptive control method for urban traffic network signal

被引：0
|
作者：
Liu, Zhi-Yong [1 ]
Li, Shui-You [1 ]
机构：
[1] School of Information, Wuyi University, Jiangmen 529020, China
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2006年 / 23卷 / 01期
关键词：
Adaptive control systems - Control equipment - Genetic algorithms - Highway traffic control - Optimization - Vehicles;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An improved immunity genetic algorithms (GA) based adaptive control method for urban traffic network signal is proposed. A two-level hierarchical distributed construction is adopted. The parameters are optimized hierarchically with an interval of 5-30 minutes. Cycle and offsets are optimized by central controller in each interval and splits are optimized by intersection controller in each cycle. For a given performance index, such as minimizing the mean vehicle delay or number of stops etc., an improved immunity GA is used to optimize the cycle, offsets and splits. Simulation results show that the new method proposed in this paper is feasible and efficient.
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页码：119 / 125
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