基于期望速度的交通流仿真模型

Traffic flow simulation model based on desired speed

根据驾驶人换道行为中是否有换道的意愿和是否可能换道2个方面,基于心理制约条件模型和物理制约条件模型,提出了基于期望速度的一种车辆换道模型,并与Treiber和Helbing提出的智能驾驶人模型结合,提出了新的交通流模拟模型,并应用JAVA针对不同的交通状态进行模拟再现。模拟结果表明:局域堆积群交通堵塞的合流部交通流速度平均值在20 m/s左右变动,合流部的局域交通不安定的交通堵塞状态空间轴上并没有向上传播,而同步态模式交通堵塞的车辆平均速度减少到3 m/s,堵塞波向时间和空间2个方向传播,交通模拟结果再现了同步流到宽幅运动堵塞S-J交通流相转移现象。

This paper presents a novel lane change model based on a driver＇s lane change desire known as the psychological condition and lane change abilities of road known as physical condition.By combining the lane change model with intelligent driver model that was introduced by Treiber and Helbing,a simulation model for describing the traffic flow behavior in the merging sections in highways is proposed.By numerical simulation experiments,this model is shown to be able to reproduce pinned localized clusters,homogeneous congested traffic and phase transitions.The mean speed at merging section for localized clusters is about 20 m/s.The cluster does not expand or move with time.But,the mean speed for homogeneous congested traffic fall into 3 m/s and the congestion expand with time.1 tab,10 figs,12 refs.