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考虑交通出行惯例的双向行人流模型研究
引用本文:杨凌霄,赵小梅,高自友,郑建风.考虑交通出行惯例的双向行人流模型研究[J].物理学报,2011,60(10):100501-100501.
作者姓名:杨凌霄  赵小梅  高自友  郑建风
作者单位:北京交通大学交通运输学院,北京 100044;北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京 100044
基金项目:国家自然科学基金(批准号:70701004,71071012)资助的课题.
摘    要:推广了Baek等人最近提出的一个双向行人流模型,提出了两种改进策略,并从行人平均速度-密度关系、行人空间分布密度和位置分布等方面进行了数值分析. 研究发现,引入的两个新策略不仅可以提高行人流的平均速度,而且可以提高道路系统(尤其是道路中央区域)利用率,减轻拥堵状况,有效避免严重堵塞的发生. 改进的策略对行人的心理特点和行为特性等方面考虑更加全面,而且可以较好地模拟高密度的双向行人流. 关键词: 元胞自动机模型 双向行人流 交通惯例

关 键 词:元胞自动机模型  双向行人流  交通惯例
收稿时间:2010-11-15

Bi-directional pedestrian flow model with traffic convention
Yang Ling-Xiao,Zhao Xiao-Mei,Gao Zi-You and Zheng Jian-Feng.Bi-directional pedestrian flow model with traffic convention[J].Acta Physica Sinica,2011,60(10):100501-100501.
Authors:Yang Ling-Xiao  Zhao Xiao-Mei  Gao Zi-You and Zheng Jian-Feng
Institution:School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)(Key Laboratory for Urban Transportation Complex Systems Theory and Technology of Ministry of Education, Beijing Jiaotong University, Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)(Key Laboratory for Urban Transportation Complex Systems Theory and Technology of Ministry of Education, Beijing Jiaotong University, Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)(Key Laboratory for Urban Transportation Complex Systems Theory and Technology of Ministry of Education, Beijing Jiaotong University, Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)(Key Laboratory for Urban Transportation Complex Systems Theory and Technology of Ministry of Education, Beijing Jiaotong University, Beijing 100044, China
Abstract:In this paper, we extend a cellular-automata model recently proposed by Baek et al. to simulate traffic dynamics of the bi-direction pedestrians. And we present two improved strategies for the moving rules of the pedestrians. Numerical studies of average velocity-density diagram, spatial density distribution and position distribution of the pedestrians are given. We find that the two improved strategies can not only increase the average velocity of pedestrian flow, but also improve the utilization of the road, especially for the central region, reduce the degree of congestion, and avoid the occurrence of serious congestion. The two improved strategies have more comprehensive considerations of psychological and behavioral characteristics of pedestrians, which are also proper to simulate bi-directional pedestrian dynamics under a high traffic density.
Keywords:cellular-automata model  bi-direction pedestrian  traffic convention
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