|Table of Contents|

Traffic signal control multi-object optimization based on genetic algorithm(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2009年03期
Page:
85-88
Research Field:
Publishing date:
2009-06-20

Info

Title:
Traffic signal control multi-object optimization based on genetic algorithm
Author(s):
LI Rui-min; LU Hua-pu
Institute of Transportation Engineering,Tsinghua University,Beijing 100084,China
Keywords:
traffic engineering;  traffic signal control;  multiobject optimization;  genetic algorithm
PACS:
U491.51
DOI:
-
Abstract:
Aimed at the problem of multiobject optimization solution on the problem by using genetic algorithm is presented. The essential and characteristics of multiobject optimization in urban traffic signal control are analyzed. Then, the genetic algorithm (GA) method is applied to multiobject optimization and a multilayer fuzzy traffic signal control model is proposed. Regarded average delay and stop times as optimal object, randomweight approach of GA is used to optimize the multiobject of the model, the optimization steps and calculation method of some parameters and the determination method of random weight is presented. At the end, the performance of this optimization method based on GA is compared to that with traditional fixed weight at a simulated fourapproach intersection. The result indicates that the optimization method presented in this paper is effective in reducing average delay and stop times at an intersection. 2 figs, 10 refs.

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Last Update: 2009-06-20