智能网联环境下混合交通流仿真设计与特性分析  

Simulation design and characteristic analysis of mixed traffic flow in intelligent network environment

作　　者：张文雪 商强[1] ZHANG Wenxue;SHANG Qiang(School of Transportation and Vehicle Engineering,Shandong University of Technology,Zibo 255049,China)

机构地区：[1]山东理工大学交通与车辆工程学院,山东淄博255049

出　　处：《山东理工大学学报（自然科学版）》2025年第2期44-49,共6页Journal of Shandong University of Technology:Natural Science Edition

摘　　要：以智能网联环境下混合交通流的特性为研究对象,在SUMO仿真软件中设置高速公路双向六车道的交通环境,利用SUMO仿真软件和Python软件对模拟智能网联汽车的CACC(cooperative adaptive cruise control)模型和模拟人工驾驶汽车的IDM(intelligent driver model)模型进行仿真实验,并对CACC汽车不同渗透率下的数据进行对比分析,从而对智能网联汽车与人工驾驶汽车形成的混合交通流模型进行研究。模拟仿真结果表明:在不同渗透率的智能网联汽车和人工驾驶汽车的混合交通流中,随着CACC汽车渗透率的不断增加,道路的流率不断提高,平均速度也不断提高;当CACC汽车渗透率达到100%时,道路的总时间延误可以减少约862 s;随着CACC汽车渗透率的不断增加,道路上车辆的换道频率也随之下降,减少了道路上车辆之间的速度差。智能网联汽车的参与可以提高高速公路的通行能力和车道的利用率,提高车辆的平均速度并减少行程的时间延误。Taking the characteristics of mixed traffic flow in intelligent network environment as the research object,a two-way six-lane traffic environment of expressway is set up in SUMO simulation software.Using SUMO simulation software and Python,this study simulates the cooperative adaptive cruise control(CACC)model of intelligent connected vehicles and the intelligent driver model(IDM)of manually driven vehicles.The data generated by CACC vehicles at different penetration rates are compared and analyzed in order to study the mixed traffic flow model that emerged from interaction of the intelligent connected and manually driven vehicles.The simulation results show that,in the mixed traffic scenarios,both the road flow rate and average speed increase with the increasing penetration rate of intelligent connected vehicles.When the permeability of CACC reaches 100%,the total delay time on the road can be reduced by 862 s.With the increasing penetration rate of intelligent connected vehicles,the lane change frequency of vehicles on the road also decreases,reducing the speed difference between vehicles.The participation of intelligent connected vehicles improves highway capacity and lane utilization,increases the average speed of vehicles and reduces travel time delays.

关 键 词：智能网联汽车 混合交通流仿真 混合交通流特性 CACC和IDM模型 

分 类 号：U491.17[交通运输工程—交通运输规划与管理]