Real-coded genetic algorithm for signal timings optimization of a single intersection

被引：0

作者：

Chen, XF ^{[1
]}

Shi, ZK ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Dept Automat Control, Xian 710072, Peoples R China

来源：

2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年

关键词：

real-coded genetic algorithm; traffic flow; signal optimization; multiphase control;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, for a single two-way intersection with multi-lanes, a dynamic traffic flow model based on four-phase control is formulated, and a real-coded genetic algorithm (RGA) is used for optimizing the green times and cycle time. For examining the validity of the dynamical model and its RGA optimization method, comparisons are made between the method proposed in this paper and the conventional control method (Fixed-time control). The simulation result shows that the dynamical model and its RGA optimization method are feasible and have a better result than the conventional method.

引用

页码：1245 / 1248

页数：4

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