智能网联信息下车辆跟驰模型构建及行为影响分析

Development and Performance of a Cooperative Adaptive Cruise Control Car-following Model

摘要:

基于传统跟驰模型提出考虑多前车速度和加速度信息影响的跟驰模型，根据车辆轨迹信息对跟驰模型参数标定，探究多前车信息对本车运行在交通安全和效率方面的影响以及协同自适应巡航（cooperative adaptive cruise control，CACC）车辆在不同渗透率下对交通安全和效率的影响。结果表明：除了紧邻前车外，多前车的运动信息会对后车的运动造成影响；考虑多前车的速度和加速度反馈会提高交通安全和效率；CACC车辆对交通安全和效率的影响与CACC渗透率和排列方式有很大关系。

Abstract:

A microscopic traffic flow model was proposed based on a traditional car-following model with the consideration of the effects of multiple preceding cars’ velocity and acceleration； then the parameters of car-following models were calibrated on the basis of the vehicle trajectory； Subsiquently， the impact of multiple preceding vehicles information on traffic safety and efficiency were also investigated； finally，the influence of cooperative adaptive cruise control （CACC） vehicles on traffic safety and efficiency with different penetration rates were also studied. Simulation results prove that except for the immediately preceding vehicle，multiple preceding vehicles’information in the control strategy of the CACC system would have an impact on the following vehicle； the consideration of the velocity and acceleration of multiple preceding vehicles can improve traffic safety and efficiency；the impact of CACC on traffic safety and efficiency was highly related to the penetration rate and arrangement of CACC vehicles.