基于区段数据的交通信号控制算法研究

发布时间：2019-05-05 07:14

【摘要】：虽然交通工具越来越先进,但交通运输需求的增大与交通资源短缺、管理方法滞后之间的矛盾愈发激烈。采用先进的信息、通信和控制等技术手段解决交通运输资源方式成为解决交通拥堵问题重要方向之一。目前交通控制系统大多利用地磁线圈对车辆信息进行采集,这种采集方式只能够采集到断面数据。这种控制系统只能够被动地适应车流量,不能够把握整体交通流的分布。这种对流量短视、局部、被动地适应的方式,不能够发挥交通系统的作用,造成交通流扰动和效益的降低。本研究提出基于电子车牌数据的交通信号控制方法。通过设置在交叉口处的阅读器与装有有源电子标签车辆互动,获取路段区间上的车辆信息。这种方式能够同时采集路段范围内快速移动和静止车辆的标签信息,标签信息量相比较小,在传输和处理的过程中比较方便。在控制策略上,对两相位交叉口,应用基于阈值规则的交通控制技术,以路段区间内车辆数作为控制参数,综合考虑路段区间内车辆数和各相位对绿灯需求的紧迫度,选取紧迫度最高相位为下一相位。最后利用仿真软件对交叉口信号控制策略进行仿真对比,结果表明控制效果较好。改进后的算法能够降低车辆延误,研究为以后城市交通出行规划、交通流分配提供一定理论基础。
[Abstract]:Although the means of transportation are more and more advanced, the contradiction between the increasing demand of transportation, the shortage of traffic resources and the lag of management methods is becoming more and more intense. It is one of the important directions to solve the problem of traffic congestion by means of advanced information, communication and control. At present, most of the traffic control systems use geomagnetic coils to collect vehicle information, which can only collect cross-section data. This control system can only passively adapt to the traffic flow, and can not grasp the distribution of the overall traffic flow. This short-sighted, local, passive adaptation to traffic can not play the role of the traffic system, resulting in traffic flow disturbance and the reduction of benefits. In this paper, a traffic signal control method based on electronic license plate data is proposed. Through the interaction between the reader set at the intersection and the vehicle with the active electronic tag, the vehicle information on the road section is obtained. This method can simultaneously collect the label information of fast moving and stationary vehicles in the range of road section. The label information is relatively small and convenient in the process of transmission and processing. In the aspect of control strategy, the traffic control technology based on threshold rule is applied to the two-phase intersection, taking the number of vehicles in the road section as the control parameter, considering the number of vehicles in the road section and the urgency of the green light demand in each phase. The highest phase of urgency is selected as the next phase. Finally, the simulation software is used to simulate and compare the signal control strategy of intersection. The results show that the control effect is better. The improved algorithm can reduce vehicle delay and provide a theoretical basis for future urban traffic travel planning and traffic flow assignment.
【学位授予单位】：上海应用技术学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

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