Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (7): 273-278.DOI: 10.3778/j.issn.1002-8331.1812-0292

Previous Articles    

Signal Optimization Control Method for Associated Intersection Sub-Area

CAO Jie, ZHANG Lijun, HOU Liang, CHEN Zuohan, ZHANG Hong   

  1. 1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
    2.Gansu Manufacturing Information Engineering Research Center, Lanzhou 730050, China
  • Online:2020-04-01 Published:2020-03-28



  1. 1.兰州理工大学 计算机与通信学院,兰州 730050
    2.甘肃省制造业信息化工程研究中心,兰州 730050


In the signal optimization control process of the intersection group, a signal optimization control method for the associated intersection sub-area is proposed for the problem that the genetic algorithm prematurely converges and the relevance of adjacent intersections is considered less. Firstly, the soft-collection theory is used to divide the intersecting intersections into the same sub-area. Then, the niche technology based on shared function is used to adjust the fitness of individuals in the group and adaptively adjusts the crossover probability and mutation probability of the algorithm to improve the genetic algorithm. Finally, the improved genetic algorithm is used to optimize the average delay time of the associated intersection sub-area. The simulation experiments of the measured data of the road network show that the proposed method divides the intersection group into reasonable sub-areas, and the improved genetic algorithm reduces the number of iterations in the sub-area signal optimization control, which makes the average delay time of the intersection shorter.

Key words: signal optimization control, soft set theory, improved genetic algorithm, average delay time



关键词: 信号优化控制, 软集合理论, 改进的遗传算法, 平均延误时间