考虑驾驶员在不同交通环境下会变换驾驶方式的真实情况，建立两次改变驾驶方式的双车道交通流元胞自动机模型（TTChange-CA模型）.通过数值模拟发现，2种类型车辆的初始混合比例和换道概率对交通流基本没有影响；与只改变一次驾驶方式的双车道模型（TChange-CA模型）相比，TTChange-CA模型提高了系统的流量、速度和临界密度，增加了道路利用率；与双车道SDNaSch模型和WWH模型相比，该模型的速度、流量及时空图的致密程度介于二者之间，更真实地刻画了现实交通流.
Drivers tend to change their driving manners frequently. In this paper, a traffic cellular automata model for a two-lane highway, which takes into account such changes twice, referred to as TTChange-CA model, is proposed. Numerical results show that the original mixture proportion and lane changing probabilities of two kinds of vehicles have almost no influence on traffic flow. Compared with TChange-CA model of two-lane road, meaning that there is only one change of driving manners, the TTChange-CA model can increase the traffic flux, speed and the critical density. Therefore it can increase the road utilization rate. The traffic density, flux and compactness of the spatialtemporal diagram for TTChange-CA model are between the two-lane SDNaSch and WWH models, and can better describe the traffic flow.
