Signal Timing Optimization Based on Fuzzy Compromise Programming for Isolated Signalized Intersection

Author:

Yu Dexin123,Tian Xiujuan2,Xing Xue2,Gao Shutao2

Affiliation:

1. State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun 130022, China

2. College of Transportation, Jilin University, Changchun 130022, China

3. Jilin Province Key Laboratory of Road Traffic, College of Transportation, Jilin University, Changchun 130022, China

Abstract

In order to optimize the signal timing for isolated intersection, a new method based on fuzzy programming approach is proposed in this paper. Considering the whole operation efficiency of the intersection comprehensively, traffic capacity, vehicle cycle delay, cycle stops, and exhaust emission are chosen as optimization goals to establish a multiobjective function first. Then fuzzy compromise programming approach is employed to give different weight coefficients to various optimization objectives for different traffic flow ratios states. And then the multiobjective function is converted to a single objective function. By using genetic algorithm, the optimized signal cycle and effective green time can be obtained. Finally, the performance of the traditional method and new method proposed in this paper is compared and analyzed through VISSIM software. It can be concluded that the signal timing optimized in this paper can effectively reduce vehicle delays and stops, which can improve traffic capacity of the intersection as well.

Funder

National High-Tech Research and Development Program of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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