Machine-Learning Traffic Signal Control Approach Based on Genetic Algorithm
基于遗传算法的交通信号机器学习控制方法

The traffic signal control schemes are put in the form of rule-sets into use through fuzzy classifying the arrived cars in this paper. Genetic algorithm is applied to improve the rule-sets according to the effect of actual controlling. These procedures form a new machining-learning traffic signal control approach for isolated intersection. After simulating, the control effect of this new approach with fixed-time control method and actuated control method are compared. The result of simulating illustrates that the effect of the new approach is obviously better than the traditional ones.