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

Abstract:

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