交通灯控制下基于元胞自动机的行人过街模型研究

本文提出了一种交通灯控制下的基于元胞自动机的行人过街穿越模型,该模型由行人元胞子模型、机动车元胞子模型及相互作用子模型三部分组成,用于分析在带有人行横道的一维道路上,由行人与机动车构成的混和文通流的特性。该模型着重考虑了行人的行为特性,在考虑诸多实际影响因素的情况下,研究了行人的产生概率,行人不遵守交通规则的概率、行人群效应等对于车流量、行人流量和等待时间的影响,并据此提出混和交通流情况下城市交通管理方案,以保证行人安全,提高通行效率,减少城市拥堵。

A Cellular Automata Model for Mixed Traffic Flow Simulation

In this paper, a mixed traffic flow model is proposed based on Cellular Automata (CA). This model which consists of pedestrians sub-model, motor vehicles sub-model and interaction sub-model, is used to analyze the characteristics of mixed traffic flow including motor vehicles and pedestrians on a lane with pedestrian walkway. The focus of this paper is the behavior of pedestrians, and the influence of pedestrians ? behavior on the vehicle flow, pedestrian flow and the waiting time of them. The proportion of the pedestrians not to abide by traffic rules, the group effect of the pedestrians and the expectation waiting time of pedestrians, regarded as the most important pedestrians ? behavior, are taken into consideration in this model. Simulation results show the ability of this model to capture the most important feature of mixed traffic flow.