单车道双概率元胞自动机模型

One-Lane and Two-Probabilities Cell-Automaton Model

在分析经典一维单车道元胞自动机模型的基础上,提出了改进FI模型的TPFI模型.该模型在FI模型的基础上增加一个新的随机慢化概率,以减少FI模型中过大的瞬时加速度出现的概率.运用TPFI模型来描述交通流参数:密度-流量关系,发现在取得合适的概率值组合的条件下,该模型模拟的密度-流量曲线比其他元胞自动机模型的模拟结果更加接近于实际数据曲线,通过计算机编程实现车辆时空图模拟,验证TPFI模型与FI模型适用于低密度、高速度的交通流仿真.

Based on the analysis of one dimension and one lane cell automaton model, we present a TPFI model improved on the FI model. This model adds a new stochastic slowing probabilities to reduce the over large probability of high and instantaneous acceleration in the FI model. Using TPFI model to describe the density-flow relationship of the traffic flow, we find that the simulation results by TPFI model are closer to the practical data curve than the other models. Besides, through computer programming for simulating vehicle temporal spacial graph we also find that TPFI model and FI model will be suitable for simulating traffic flow with low density and low speed.