|Table of Contents|

[1] Bi Yunrui, Lu Xiaobo, Sun Zhe, Zeng Weili, et al. Fuzzy traffic signal control with DNA evolutionary algorithm [J]. Journal of Southeast University (English Edition), 2013, 29 (2): 207-210. [doi:10.3969/j.issn.1003-7985.2013.02.017]

Fuzzy traffic signal control with DNA evolutionary algorithm()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2013 2
Research Field:
Computer Science and Engineering
Publishing date:


Fuzzy traffic signal control with DNA evolutionary algorithm
Bi Yunrui1 Lu Xiaobo1 Sun Zhe2 Zeng Weili3
1School of Automation, Southeast University, Nanjing 210096, China
2Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
3School of Transportation, Southeast University, Nanjing 210096, China
DNA evolutionary algorithm genetic algorithm(GA) fuzzy control traffic signal control
In order to optimize the signal control system, this paper proposes a method to design an optimized fuzzy logic controller(FLC)with the DNA evolutionary algorithm. Inspired by the DNA molecular operation characteristics, the DNA evolutionary algorithm modifies the corresponding genetic operators. Compared with the traditional genetic algorithm(GA), the DNA evolutionary algorithm can overcome weak local search capability and premature convergence. The parameters of membership functions are optimized by adopting the quaternary encoding method and performing corresponding DNA genetic operators. The relevant optimized parameters are combined with the FLC for single intersection traffic signal control. Simulation experiments shows the better performance of the FLC with the DNA evolutionary algorithm optimization. The experimental results demonstrate the efficiency of the proposed method.


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Biographies: Bi Yunrui(1983—), female, graduate; Lu Xiaobo(corresponding author), male, doctor, professor, xblu@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.60972001), the Scientific Innovation Research of College Graduates in Jiangsu Province(No.CXZZ_0163), the Scientific Research Foundation of Graduate School of Southeast University(No.YBPY1212).
Citation: Bi Yunrui, Lu Xiaobo, Sun Zhe, et al. Fuzzy traffic signal control with DNA evolutionary algorithm[J].Journal of Southeast University(English Edition), 2013, 29(2):207-210.[doi:10.3969/j.issn.1003-7985.2013.02.017]
Last Update: 2013-06-20