基于模糊理论的城市区域交通控制研究

城市区域交通协调控制是智能交通的主要研究方向,研究的主要目的是避免交通拥塞的产生,并能够在发生时及时疏散车辆。针对这种情况,提出一种基于模糊理论的区域协调控制方法,以区域内交叉口各相位方向的排队长度为评价参数,建立模糊控制规则对区域交通进行协调控制,采用典型五交叉口组成的区域对提出方法进行验证。结果显示:该方法能够有效地提高交叉口的通行能力和平均延误时间。

Area Coordination Control of Urban Traffic Based on Fuzzy Theory

The area coordination control of urban traffic is one of the important research topics of intelligent transportation,the purpose of it is to avoid traffic congestion and the vehicles will be evacuated timely when the traffic congestion has occurred. For this case, the paper presents a method for area coordination of urban traffic which is based on fuzzy control, which sets up the fuzzy control rules by the queue length of intersections, so as to conduct coordination and control of the area traffic, the effectiveness of the proposed algorithm is validated by the typical urban area consisting of five adjacent intersections. The result indicates that this method can effectively improve traffic capacity and decrease the average delay time.