大数据时代下城市交通网络智能算法研究

Research on Intelligent Algorithm of Urban Transportation Network in the Age of Big Data

论文以城市交叉口控制为研究对象,选取西安市某交叉口作为仿真对象。通过对算法的分析理解,结合系统设计来对单交叉口进行仿真控制实验。对城市单交叉口进行仿真模拟实验,再现道路交叉口的车辆通行,以及对交通灯信号进行智能控制。通过从数据系统中获取的车辆数据,进行十字交叉口的交通控制,模拟再现某个时段交叉路口的车辆通行。由于韦伯斯特配时法易受到交通量大小的影响并且车辆延误损失时间的同样会导致不同的仿真结果,所以论文将仿真测试选取合适的方法对韦伯斯特配时法进行优化。

In this paper,the intersection of urban intersections is taken as the research object,and an intersection in Xi'an is selected as the simulation object.Through the analysis and understanding of the algorithm,combined with the system design,the simulation control experiment is carried out on the single intersection.Simulate simulation experiments on urban single intersec⁃tions,reproduce vehicle traffic at road intersections,and intelligently control traffic light signals.Through the vehicle data acquired from the data system,the traffic control at the intersection is simulated,and the vehicle traffic at the intersection at a certain time in⁃terval is simulated.Because Webster's timing method is easily affected by the traffic volume and the vehicle delay time loss will also lead to different simulation results,this paper will select the appropriate method to optimize the Webster timing method.