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Mathematical Problems in Engineering
Volume 2016, Article ID 1682394, 12 pages
Research Article

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

1State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun 130022, China
2College of Transportation, Jilin University, Changchun 130022, China
3Jilin Province Key Laboratory of Road Traffic, College of Transportation, Jilin University, Changchun 130022, China

Received 8 December 2015; Revised 3 February 2016; Accepted 29 February 2016

Academic Editor: Konstantinos Karamanos

Copyright © 2016 Dexin Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.