摘要
城市干线协调控制是智能交通研究的重要环节。由于城市交通具有随机性和时变性的特点,因此,很难建立准确的科学模型,针对这一问题采用模糊控制的方式进行推理分析。以各交叉口、各相位方向的平均排队长度为控制优劣的评价参数,把三个相邻交叉口作为城市干线控制模型。在主次干道车流相差较大时进行仿真,相比于传统的基于相位差的协调控制,数据显示:采用模糊控制方式对干线进行协调控制,能够有效地减少交叉口的平均延误。
City route coordinated control is an important part of the development of intelligent transportation. Due to the randomness of urban traffic and time variability is difficult to establish accurate mathematical model, so fuzzy control approach to inference analysis, the average queue length direction of the intersection of route control each phase within the control of the merits of the evaluation parameters. In this paper, primary and secondary roads under traffic simulation difference is large, compared to the traditional control method, the results show the fuzzy control method for coordination of trunk control can effectively reduce the average delay intersections.
出处
《交通科技与经济》
2014年第3期25-29,共5页
Technology & Economy in Areas of Communications
关键词
智能交通
城市干线协调控制
模糊控制
模糊推理
平均车辆延误
intelligent transportation
coordination control of urban crank
fuzzy control
fuzzy reasoning
average vehicle delay
作者简介
李元（1987-）,男,硕士研究生,研究方向：智能交通,交通信息工程及控制.
