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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。
When the vehicle is driving freely or in a following state, it often runs from a slow lane to a fast lane in order to obtain a better driving environment. This requires the driver to make a decision as to whether or not to change lane according to the state of traffic environment. By analyzing the impact of fast moving vehicles on the current vehicle and combining Monte Carlo simulation method, a new random changing model of lane changing is proposed. Under different traffic conditions, statistically significant difference analysis was performed on the measured values and the simulated values of lane changing times, which verified the validity of the model.