微观交通仿真中随机决策换道行为研究

车辆在自由行驶或者处于跟驰状态时,经常进行由慢车道向快车道以便于获得更好的行驶环境.这需要驾驶员根据交通环境状态做出是否进行换道的决策.通过分析快车道行驶车辆对当前车的影响,结合蒙特卡罗仿真方法,提出了一种新的换道随机决策模型.在不同的流量条件下,对车辆换道次数的实测值和仿真模拟值进行具有统计意义的显著性差异分析,验证了模型的有效性.

Study on Stochastic Decision Model of Lane Changing in Microscopic Traffic Simulation

In order to run quickly with complying the restriction of running speed from the lane, the vehicle on running freely or following changes frequently from slow-speed lane to high-speed lane. So the driver needs to make a decision to change lane according to running circumstance. By analyzing influence of the vehicle running at the adjacent high-speed lane, a new stochastic decision model based on Monte Carlo method was developed. The simulation model has been verified by significant difference analyzing to the values of simulation and the field datum of the lane changing times with under different traffic flows.