A multi-objective optimization Method for coordinated control

被引：0

作者：

Gao Yunfeng ^{[1
]}

Hu Hua ^{[2
]}

Wang Tao ^{[3
]}

Yang Xiaoguang ^{[3
]}

机构：

[1] Shanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China

[2] Shanghai Univ Engn Sci, Coll Urban Railway Transportat, Shanghai, Peoples R China

[3] Tongji Univ, Sch Transportat Engn, Shanghai, Peoples R China

来源：

ADVANCED TRANSPORTATION, PTS 1 AND 2 | 2011年 / 97-98卷

基金：

中国国家自然科学基金;

关键词：

traffic control; Pareto optimal solution; multi-objective optimization; coordinated control; simulation; NSGA-II; CTM; MODEL;

D O I：

10.4028/www.scientific.net/AMM.97-98.942

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In this paper, to overcome the limitations of the weighted combination and single objective optimization methods, we presented a multi-objective optimization and simulation methodology for network-wide traffic signal control. A multi-objective genetic algorithm based on Non-dominated Sorting Genetic Algorithm II was given to solve the model directlyto obtain Pareto optimal solution set. The objectives were evaluated by Enhanced Cell Transmission Model used to describe traffic dynamics on signalized urban road network. The results showed that the single objective optimization method made some of the objectives worsen when the objective to be optimized reaching optimal, and that the weighted combination optimization method gained a compromised solution, but the multi-objective optimization method gave consideration to more objectives, making the number of optimal or suboptimal ones is more than that of worse ones.

引用

页码：942 / +

页数：2

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