基于多车信息的交通流跟驰模型与数值仿真

基于全速度差(full velocity difference,FVD)模型,考虑多车信息对跟驰车的影响,提出了一种改进的多期望速度与速度差(multi-anticipative velocity and velocity difference,MAVD)模型。通过线性稳定性分析,获得改进模型的稳定性条件,有效增加了交通流的稳定区域。改进模型的运动延迟时间和启动波速更接近实测值,也不产生过高加速度。数值模拟结果进一步表明,改进模型通过考虑多车信息,可以克服FVD模型中低反应系数时出现的负速度的缺陷。

Car-following Model of Traffic Flow and Numerical Simulation Based on Multiple Information of Preceding Cars

Based on the full velocity difference(FVD) model,with the consideration of effect of multiple information from preceding cars to the following car,a multi-anticipative velocity and velocity difference(MAVD) model of traffic flow was proposed.The linear stable judging condition was obtained to the improved model by its stable analyzing,which enlarged efficiently the stable range of the improved model.The delay time of car motion and kinematic wave speed approach are more exactly to the observed values and unrealistically high acceleration does not appear.Numerical simulation further shows that the improved model can overcome the disadvantage of negative velocity occurred at small reaction coefficient in FVD model by considering the information of the multiple cars.