基于Vissim的车联网及自动驾驶车辆交通仿真研究

Research about Traffic Simulation Based on Connected Vehicles and Autonomous Vehicles

现代交通发展迅速,交通流的问题与矛盾也日益凸显。为解决这些问题,提高道路通行能力,文中从国外提出的一种协同式自适应巡航控制系统入手,首先通过分析其研究现状,探讨其应用于现实交通流的可能性。其次通过对PTV Vissim中的驾驶员行为模型文件进行再编辑和外部导入,实现了对软件的二次开发。最后应用这种新的行为模型,通过模拟自动驾驶车辆在一个路段行驶及进出匝道口的情景进行仿真,采集数据,并与普通车辆的数据相比较,从而完成对车联网与自动驾驶车辆的简单仿真研究,肯定了该系统对交通流的优化能力,为日后相关领域的研究提供了建议。

With the rapid development of modern transportation,the problems and contradictions of traffic flow are becoming more and more prominent. To solve these problems and improve the traffic capacity,this paper put forward a cooperative adaptive cruise control system from abroad,. First of all,by analyzing its research status quo,explore the possibility of its application in the real traffic flow. Secondly,the secondary development of software is realized by re-editing and external import of driver behavior model files in PTV Vissim. Finally,applying this new model,through the simulation of automatic driving vehicle on a road and in and out of the programmed into the scenario simulation,collect data,and compared with the conventional vehicle data,so as to complete the car networking and simple simulation study of self-driving vehicles,affirmed the optimization ability of the system of traffic flow,provide advice to the research in related fields in the future.