基于车辆队列的交叉口信号主动控制方法研究

发布时间：2018-05-27 15:43

本文选题：智能交通 + 信号主动控制　；参考：《长安大学》2015年硕士论文

【摘要】：高效的城市交通控制系统可以提高城市交通的运行效率。相关研究表明,城市道路中车辆呈现分组运动的趋势,而目前城市交通信号控制主要采用定时分配策略,无法有效利用车辆分组运动的特性,本文依托于近些年兴起的智能车路协同技术(Cooperative Vehicle Infrastructure Systems,简称CVIS),基于全面的检测信息及预测分析进行主动性交通管理,提出了基于高分辨位置信息的车队组织算法及相应的调度策略,以期降低城市道路交叉口车辆旅行时间总延误,进而减少车辆排放的所造成的环境污染。本文在对车辆队列组织算法、交叉口车辆队列调度策略、交叉口信号配时优化等研究的基础上,依托车-基础设施通信技术的发展趋势,对单点交叉口信号主动控制方法中的几个关键问题进行了研究:1、目前已有的车队组织算法中,大多基于车辆检测器技术,针对其车队组织策略实时性较差,同时逻辑结构复杂等缺点,依托车路协同技术的发展,提出了基于高分辨位置信息的车队组织算法,采用已有车队组织中常用的车头时距的组织策略,通过实时的车路通信技术获取车辆的具体信息,实时组织车队;同时,考虑了单车道及多车道的车队组织、车队的动态更新等问题。2、针对已有信号灯调度模型在建立产生调度方案时间成本较高的缺点,课题以单点交叉口的车辆队列调度的配时优化为研究对象,以车辆总延误最小为目标,提出了基于蚁群算法的单交叉口的车辆队列调度策略。同时,采用改进的析取图模型对车队调度策略进行了简要描述。3、以简化的双向六车道的单点十字交叉口为例,借助城市交通微观仿真软件对车辆队列的组织方法进行了仿真,实现了车队的实时组织;通过改进的蚁群算法,对相应车辆队列调度策略的可行性进行了验证,结论表明相应的车队调度策略可以快速找到最优解决方案,对拓展交通信号主动控制领域具有重要的理论意义。
[Abstract]:Efficient urban traffic control system can improve the efficiency of urban traffic. Related studies show that vehicles in urban roads tend to move in groups, but at present, urban traffic signal control mainly adopts timing allocation strategy, which can not effectively utilize the characteristics of vehicle group motion. This paper relies on Cooperative Vehicle Infrastructure Systems, a cooperative technology of intelligent vehicle and road cooperation, which is developed in recent years, and carries out active traffic management based on comprehensive detection information and prediction analysis. An algorithm of vehicle fleet organization based on high-resolution location information and corresponding scheduling strategy are proposed to reduce the total delay of vehicle travel time and the environmental pollution caused by vehicle emissions at urban road intersections. Based on the research of vehicle queue organization algorithm, intersection vehicle queue scheduling strategy, intersection signal timing optimization and so on, this paper relies on the development trend of vehicle-infrastructure communication technology. In this paper, several key problems in active control method of single point intersection signal are studied. At present, most of the existing fleet organization algorithms are based on the vehicle detector technology, and the real-time performance of the vehicle fleet organization strategy is poor. At the same time, the logic structure is complex and so on. Based on the development of vehicle-road coordination technology, a vehicle fleet organization algorithm based on high-resolution position information is proposed. Through real-time vehicle-road communication technology to obtain the specific information of the vehicle, real-time organization of the fleet; at the same time, considering the single-lane and multi-lane team organization, In view of the disadvantages of the existing signal lamp scheduling model in setting up the scheduling scheme with high time cost, this paper focuses on the timing optimization of the vehicle queue scheduling at the single point intersection. Aiming at the minimum vehicle delay, a vehicle queue scheduling strategy based on ant colony algorithm for single intersection is proposed. At the same time, the improved disjunctive graph model is used to describe the fleet scheduling strategy briefly. Taking the simplified two-way six-lane single-point cross intersection as an example, the method of organizing the vehicle queue is simulated with the aid of the urban traffic microscopic simulation software. Through the improved ant colony algorithm, the feasibility of the corresponding vehicle queue scheduling strategy is verified, and the conclusion shows that the corresponding fleet scheduling strategy can quickly find the optimal solution. It has important theoretical significance to expand the field of traffic signal active control.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54;TP18

【相似文献】