微观交通流中跟车模型的仿真研究

Study on car-following simulation in microscopic traffic flow

在研究跟随状态中车辆运行特性的基础上 ,提出了一种新的跟车模型 .与传统的跟车模型相比 ,新模型考虑了车辆的长度 ,并将传统模型中的期望间距转换为期望车头时距 ,反映了后车速度对跟车状态的影响 .采用实际道路上的车辆跟车数据 ,在Simulink环境下 ,对 2种跟车模型进行了仿真分析 ,结果表明在一定程度上 ,由于考虑了更多实际情况 ,新模型优于传统模型 .为了能反映车辆在实际中加速、减速以及不同跟车类型的差异性 。

A car-following model based on the study of the characters in car-following state is described. Compared with the traditional model, this model considers the length of cars and the desired space headway is transformed into the desired time headway which reflects the car-following state affected by the speed of following car. Under the condition of Simulink, this model and the traditional model were simulated by using field data obtained from an actual road. The results show that to some extent, this model is better than the traditional model because more actual traffic conditions are considered. In order to reflect the difference of acceleration and deceleration and the types of following cars, some further improvements for this model are proposed.