%0 Journal Article
%T Machine-Learning Traffic Signal Control Approach Based on Genetic Algorithm<br>基于遗传算法的交通信号机器学习控制方法
%A CHENG Xiang-jun
%A HE Zhen-huan
%A YANG Zhao-xia
%A <br>承向军
%A 贺振欢
%A 杨肇夏
%J 系统工程理论与实践
%D 2004
%I 
%X 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.
%K machining-learning
%K traffic signal control
%K genetic algorithms
%K traffic simulation<br>机器学习
%K 交通信号控制
%K 遗传算法
%K 交通仿真
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=0BB8A18DBE9E933A&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=B47A0E731AF43EB2&eid=5E25104E99903E8A&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=4&reference_num=4