基于流线动态组合的十字交叉口优化控制研究

发布时间：2018-12-08 08:17

【摘要】：随着社会经济的快速发展,城市机动车保有量急剧增加。尤其是在大城市,由于城市道路网交通量不断增多,路段及节点通行能力未充分利用,从而造成城市道路交通拥堵加剧。面对城市交通供需矛盾日益突出,挖掘已有路网的潜力,提高交通供给是交通管理的重要手段。近年来利用智能交通技术,对交通网络通行能力的提高起到了很大的作用。城市道路交通网络中,交叉路口作为城市道路交通的主要集散点,是交通拥堵和交通事故的主要发生节点,合理利用好各单点交叉口的时空资源便成了缓解整个城市交通拥堵问题的基础。而现有的单点交叉口信号管理方式中,大都采用的是单点定时及感应信号控制,其在交叉口交通流线车流到达波动较大情况下,相位交通流线不能动态组合,且配时优化方法不能随交通流线的状态变化而优化。随着车联网、车路协同及交叉口数据采集技术的不断发展与运用,能够动态获取交叉口各进口流线车辆到达参数。以此为基础,本文提出流线动态组合的优化控制方法,分析交叉口各流线相容关系,以十字交叉口为研究对象,采用一种新的相容流线搜索方法,即将交通流线向量化并进行向量计算,能够更加简便、更加直观的确定流线相容关系。接着应用流线的逻辑运算确定可行相位集合,以相位绿灯损失最小为原则,得到周期最优控制相位流线组合。最后,建立适应交叉口流量流向动态变化的优化配时模型,计算各相位的最优配时,实现交叉口流线动态优化控制效果。通过实例计算分析可知,在交叉口流线车辆到达随时间显著性变化的情况下,流线动态组合优化控制相比定相位的控制方式具有延误小,控制方案更灵活等优点,能够更好的与交通流线相协调,进而提高交叉口的时空资源利用效率。
[Abstract]:With the rapid development of social economy, the number of urban motor vehicles has increased rapidly. Especially in large cities, due to the increasing traffic volume of urban road network, the traffic capacity of sections and nodes is not fully utilized, resulting in urban road traffic congestion aggravated. In the face of the increasingly prominent contradiction between supply and demand of urban traffic, it is an important means of traffic management to tap the potential of existing road network and improve traffic supply. In recent years, the use of intelligent transportation technology has played a great role in improving traffic network capacity. In the urban road traffic network, as the main distribution point of urban road traffic, intersection is the main node of traffic congestion and traffic accident. Making good use of the time and space resources of each single point intersection is the foundation to alleviate the traffic congestion problem. In the existing single point intersection signal management mode, most of them are single point timing and induction signal control. Moreover, the timing optimization method can not be optimized with the state of the traffic streamline. With the continuous development and application of vehicle networking, vehicle-road coordination and intersection data acquisition technology, the arrival parameters of each inlet streamline vehicle can be dynamically obtained. Based on this, this paper presents an optimal control method of dynamic combination of streamline lines, analyzes the compatibility relations of each streamline in intersection, takes the intersection as the research object, and adopts a new method of consistent streamline search. The traffic streamline vectorization and vector calculation can be more convenient and intuitive to determine the streamline compatibility relationship. Then the feasible phase set is determined by using the logic operation of the streamline line, and the phase optimal control phase streamline combination is obtained based on the principle of minimum phase green light loss. Finally, an optimal timing model adapted to the dynamic change of intersection flow direction is established, and the optimal timing of each phase is calculated to realize the dynamic optimal control effect of intersection streamline. Through the calculation and analysis of an example, it can be seen that when the arrival of streamline vehicles changes significantly with time at intersection, compared with the control mode with fixed phase, the optimized control method of streamline dynamic combination has the advantages of less delay and more flexible control scheme. It can better coordinate with the traffic streamline, and then improve the efficiency of space and time resources utilization of intersection.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

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