引入驾驶员个体行为差异到传统的交通流模型中,建立了反映驾驶员性格的车辆跟驰模型。以概率反映驾驶员性格特性分布,用权重系数表示不同性格驾驶员在操作方面的差异,运用交通调查的方法对模型参数进行了识别。最后,用本文所建立的模型对车队在城市交叉路口的启动过程进行了仿真。仿真结果表明,不同类型的驾驶员在跟驰过程中,速度出现明显的波动,反映了驾驶员的个体差异,与实际交通更为接近。
Considering the driver individual behavior difference, a modelwasproposedbased on the Optimal Velocity Model, Generalized Force Model and the Full Velocity Difference Model. The theory of probability was used to reflect the driver disposition characteristic distribution. Operation difference of each driver was reflected by the weight coefficient. The coefficients of this model were identified by the traffic survey and the driving simulation experiment. Finally, the model were used to simulate the starting process at a urban crossing. The simulation result indicated that the speed appeared undulating with different driver in the following process. The driver's differences have been reflected in the model.