Modeling electric vehicle’s following behavior and numerical tests

The micro modeling for electric vehicle and its solution were investigated. A new car-following model for electric vehicle was proposed based on the existing car-following models. The impacts of the electric vehicle＇s charging electricity were studied from the numerical perspective. The numerical results show that the electric vehicle＇s charging electricity will destroy the stability of uniform flow and produce some prominent queues and these traffic phenomena are directly related to the initial headway, the distance between two adjacent charging stations and the number of charging stations. The above results can help traffic engineer to choose the position of charging station and the electric vehicle＇s driver to adjust his/her driving behavior in the traffic system with charging station.     

Macro modeling and analysis of traffic flow with road width

The macro modeling and the solution of traffic flow with road width were investigated. Firstly, a new macro model with the consideration of road width was proposed. Secondly, the effects of road width on uniform flow and small perturbation were studied. The analytical and numerical results show that widening (shrinking) road can enhance (reduce) the equilibrium speed and flow, and the increments (decrements) will increase with the absolute value of road width gradient. In addition, the numerical results illustrate that the new model can describe the effects of road width on the evolutions of uniform flow and small perturbation.     

函数芽的Rr（S；n）—决定性

研究了光滑函数芽的Rr(S；n)-决定性，并给出了关于Rr(S；n)的有限决定的充分必要条件.     

函数芽的Rr(S;n)-决定性

研究了光滑函数芽的R r(S;n)-决定性,并给出了关于R r(S;n)的有限决定的充分必要条件.     

交通流元胞自动机模型中慢化行为

根据司机加速和减速过程的不同特性,提出了一个改进的交通流元胞自动机模型。数值实验表明,该模型可以满意地刻画司机学习效应对行车过程的实时影响,说明引入强化学习机制可以更好地再现多种复杂交通现象。