Affiliations: School of Electronic and Control Engineering, Chang’an University, Xi’an, China
Correspondence:
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Corresponding author. Lei Yu, School of Electronic and Control Engineering, Chang’an University, Xi’an, China. E-mails: [email protected], [email protected].
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
