论文部分内容阅读
在全速度差模型(Full velocity difference,FVD)模型和多速度差模型(Multiple velocitydifference,MVD)的基础上,提出了一种基于多前车位置及速度差信息的跟驰模型(Multiple ahead& velocity difference,MAVD),以期更加客观地描述实际中的交通现象.通过对MAVD模型进行线性稳定性分析,并与FVD和MVD模型进行比较,发现自由流稳定的敏感系数临界值变小,稳定区域明显增加.同时,对MAVD模型进行了非线性分析,得出了其mKdV方程,并给出了其车头间距的扭结波解.最后对MAVD模型进行了的数值仿真,结果表明MAVD模型能有效的抑制交通流的堵塞.
Based on Full Velocity Difference (FVD) model and Multiple Velocity Difference (MVD) model, a multiple ahead & velocity difference based on multi-position and velocity difference information is proposed. , MAVD) in order to describe the actual traffic phenomenon more objectively.By analyzing the linear stability of the MAVD model and comparing with the FVD and MVD models, it is found that the critical value of the free flow stability becomes smaller and the stability region increases obviously At the same time, the MAVD model is analyzed nonlinearly, and its mKdV equation is obtained, and its kink wave solution of the headway distance is given.Finally, numerical simulation of the MAVD model is carried out and the results show that the MAVD model can effectively restrain traffic Flow blockage.