摘要
对人群的集体运动进行研究在辅助交通管理和基础研究方面都有重要意义。当人群的密度达到一定程度时,行人之间难以避免会有相互作用,而这种相互作用常常会导致一系列自组织现象的发生。通过计算机模拟和模型研究相结合的研究手段,人们对该类自组织现象有越来越深入的认识。基于改进的社会力模型,并结合模型分析方法,具体研究行人的心理因素对人群运动行为的影响。这些理论研究将对交通管理者研究行人交通的组织、疏散以及交通安全设施的设置起到积极的作用。
The study on pedestrian behavior is very important for both of the fundamental research and traffic management. With increasing pedestrian density, the interactions among humans are inevitable, which often leads to self-organization of crowd dynamics. Through combining computational simulation techniques and model research methods, people have more in-depth understanding of the self- organization of pedestrian motion. Based on the modified social force model and model analysis, studies the important impact of psychology on the pedestrian behavior. These theoretical studies play a positive role in understanding the pedestrian organization/ evacuation and assisting the design of traffic facilities.
作者
邓宇菁
周定平
DENG Yu-Jing ZHOU Ding-Ping(Department of Traffic Management, Hunan Police Academy, Changsha 410138)
出处
《现代计算机》
2016年第23期8-12,共5页
Modern Computer
基金
湖南省教育厅科学研究项目(No.16C0611)
关键词
社会动力学
计算模拟
自组织
相图
Pedestrian Behavior
Self-Organization
Computational Simulation