城市交通信号灯动态配时优化算法研究

发布时间：2018-01-03 15:00

本文关键词：城市交通信号灯动态配时优化算法研究　出处：《沈阳大学》2014年硕士论文　论文类型：学位论文

【摘要】：我国的城市车辆数量在不断增加，而现有的交通资源有限，城市交通拥堵问题日趋严重。交叉路口是城市交通网络中的关键点，对交叉路口交通流进行合理的疏导和控制，是有效提高城市道路通行能力的主要途径。现有的交叉路口交通信号灯定时控制方式、人工控制方式以及单目标优化方式在实时性、高效性、整体性等方面已无法满足城市交通发展变化的要求。本文针对现有城市道路交叉路口的交通信号灯配时控制方案中存在的缺点和不足，开展了相关的研究工作。论文首先以单点交叉路口为研究对象，提出了一种基于多目标优化的单点交叉口动态配时算法。采用多目标优化方法求得最佳信号配时周期，结合模糊控制算法实现动态追加绿灯时间。以排队长度作为模糊控制变量，调整有效绿灯时间和周期。应用该算法，对两相位单个交叉路口进行了仿真分析，实验结果表明该算法与传统的定时配时算法相比，在减少车辆延误和停车次数等方面均具有较好的优势。其次，以干道上多个交叉路口为研究对象，提出了一种基于数解法的城市干道动态协调配时算法。采用数解法求解协调控制最优起始相位差，根据干道交通流量的实时变化，动态调整干道两端交叉路口的配时周期和绿灯时间。根据周期变化，相应调整系统周期和协调控制相位差，进而给出了该周期的各交叉口的配时方案。基于混合交通流的结构建立混合交通环境下的多目标优化模型。对该算法进行实时交通模拟实验，以平均延误和停车次数为评价指标，结果表明该算法可以有效提高城市干道多交叉路口的通行效率。最后，对城市交通区域协调控制进行了探索性研究，提出了一种基于动态子区划分和主干道优先协调控制策略的区域协调控制算法。算法中，，将区域信号协调控制分解成两部分，可有效降低区域交通协调控制的难度，提高整个区域的交通控制能力。论文最后对全文工作给予了总结，指出了尚存在的不足之处，并对未来可进一步开展的工作给予了展望。
[Abstract]:The number of urban vehicles in China is increasing, but the existing traffic resources are limited, the problem of urban traffic congestion is becoming more and more serious. Intersection is the key point in the urban transportation network. Reasonable diversion and control of traffic flow at intersections is the main way to effectively improve the capacity of urban roads. Manual control and single objective optimization are real-time and efficient. The integrity and other aspects can not meet the requirements of urban traffic development and change. This paper aims at the shortcomings and shortcomings of the existing traffic signal lights timing control scheme of urban road intersections. Related research work was carried out. In this paper, a dynamic timing algorithm based on multi-objective optimization is proposed for single-point intersection, and the optimal signal timing period is obtained by using multi-objective optimization method. Combined with fuzzy control algorithm to realize dynamic additional green time. Taking queue length as fuzzy control variable, the effective green time and period are adjusted. Using this algorithm, the simulation analysis of two-phase single intersection is carried out. The experimental results show that the algorithm has better advantages in reducing vehicle delay and stopping times than the traditional timing timing algorithm. Secondly, many intersections on the main road are taken as the research object. This paper presents a dynamic coordinated timing algorithm for urban trunk roads based on numerical solution, which is used to solve the optimal initial phase difference of coordinated control, and according to the real time variation of traffic flow of trunk roads. Dynamically adjust the timing period and green time at the junction at both ends of the main road. Adjust the system cycle and coordinate the phase difference according to the period change. Then, the timing scheme of the intersections in this period is given. Based on the structure of the mixed traffic flow, the multi-objective optimization model in the mixed traffic environment is established, and the real-time traffic simulation experiment is carried out on the algorithm. With the average delay and the number of stops as the evaluation index, the results show that the algorithm can effectively improve the efficiency of multi-intersection of urban trunk roads. Finally, the coordinated control of urban traffic area is studied. In this paper, a region coordination control algorithm based on dynamic subdivision and main road priority coordination control strategy is proposed. In the algorithm, the regional signal coordination control is decomposed into two parts. It can effectively reduce the difficulty of regional traffic coordination control and improve the traffic control ability of the whole region. At the end of the paper, the paper summarizes the work of the paper, points out the shortcomings, and looks forward to the future work that can be carried out in the future.
【学位授予单位】：沈阳大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.54;O221.6

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