智能交通流仿真及通行质量影响因素分析

Intelligent Traffic Flow Simulation and Influence Factors Analysis

为分析道路通行质量在关卡、道路长宽与多种类车辆构成的智能交通流因素影响下的不确定变化及各因素影响趋势,论文先通过元胞自动机模型将普通车与智能车(自动驾驶车)的规则进行数学描述,由此使得智能交通流得以仿真。再综合考虑行车流量、车道数量、道路长宽、智能车辆比例、超速车辆比例以及交通收费窗口数量等多种影响因素,通过参数配置以及控制变量法分别控制上述影响因素,以分析其对于通行效率的具体影响曲线,并在模型中引入事故发生率概念作为道路的安全质量评判标准之一。结果表明:该模型可以有效描述智能交通流中不同车辆种类的占比对任一确定关卡及长宽的道路通行效率的具体影响,利用该模型可以为科学交通管理系统提供决策依据。

The running efficiency of intelligent traffic flow is affected by the quantity of passes,the width of road,and the rateof different vehicles. The paper firstly gives mathematical description of traffic rules of common vehicles and autonomous vehicles,and therefore simulates the intelligent traffic flows. Then the influence factors are analyzed through parameter configuration and vari-ables are controled considering the level of traffic flow,the quantity of lanes,the rate of autonomous vehicles and speeding vehi-cles,and the number of passes,and accident rate is taken as an evaluation index of road safety. The result shows that this model caneffectively demonstrate the influence of the rate of different vehicles on the traffic efficiency of a road with certain number of passesand width,and therefore it can be applied as an assistant decision-making tool in scientific traffic system management.