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Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Stanley Lima and Álvaro Rocha
Article type: Research Article
Affiliations: School of Electronic and Control Engineering, Chang’an University, Xi’an, China
Correspondence: [*] Corresponding author. Lei Yu, School of Electronic and Control Engineering, Chang’an University, Xi’an, China. E-mails: yulei@chd.edu.cn, Yangxue2008@126.com.
Abstract: In view of the increasingly prominent congestion in urban traffic, it will be of great use to study the reasonable Lane configuration and optimization strategy. This paper analyzes the control and optimization algorithm for dynamic green wave used in city traffic intelligent control. The fuzzy programming model of single target is set up, and genetic algorithm is used to solve the optimal timing scheme of single intersection signal lamp. On the basis of this, the scheme of coordination control model of green wave is introduced to optimize the distribution of adjacent intersections. The optimization results show that the proposed scheme can effectively alleviate the traffic congestion and reduced the parking delay.
Keywords: Urban traffic, intelligent control, dynamic green wave, control optimization algorithm
DOI: 10.3233/JIFS-169631
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2785-2792, 2018
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