期刊文献+

基于社会力模型的拉萨大昭寺人群疏散仿真研究

Research on the Crowd Evacuation Simulation based on the Social Force Model at the Jokhang Temple in Lhasa
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摘要 分析国内外常用的人群疏散理论,并对比各类疏散模型的优缺点,结合仿真案例的场景特点选择社会力模型作为理论模型,分析在突发事件下影响疏散的人员特性。采用基于社会力模型的仿真软件Any-logic对案例场景拉萨大昭寺的人群疏散进行仿真,将人群疏散情况分为局部区域的人员疏散和全区域的人员疏散,针对这两类不同的人群疏散情况,采取相应的疏散措施并利用仿真软件对疏散措施的有效性进行验证。结果表明,所采取的疏散措施通过软件模拟后,对人群的疏散有很好的效果,为预防人群拥挤踩踏事故制定疏散方案提供了依据。 The social force model was chosen as the theoretical model for analyzing the personnel characteristics affecting under unexpected incident based on analysis of the theory of common evacuation at home and abroad, and comparison of the advantages and disadvantages of various evacuation models combining with the scenario characteristics of simulation cases. Simulation of crowd evacuation at Jokhang Temple was conducted in Lhasa based on social force model-Anylogic software. The crowd evacuation was divided into regional evacuation and evacuation of the whole area, these two different situations analyzed and appropriate evacuation measures taken were simulated by software and the effectiveness of evacuation measures was tested as well. The results showed that the evacuation measures simulated by software had a good effect on the crowd evacuation and provide baseline for preventing crowding and trampling accident and for formulating evacuation plan.
作者 李俊杰 刘易 LI Jun-jie;LIU Yi(School of Engineering,Tibet University,Lhasa 85000,China;Faculty of infrastructure Engineering,Dalian University of Technology,Dalian 116024,China)
出处 《高原科学研究》 2018年第3期76-84,共9页 Plateau Science Research
基金 西藏经济社会发展与长治久安(藏财教指[2016]24号)
关键词 社会力模型 人员特性 人群疏散 Anylogic软件 social force model pedestrian characteristics crowd evacuation Anylogic software
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  • 1曹慕昆,冯玉强.基于多Agent计算机仿真实验平台Swarm的综述[J].计算机应用研究,2005,22(9):1-3. 被引量:18
  • 2刘茂,王振.行人和疏散动力学研究现状及进展[J].安全与环境学报,2006,6(B07):121-125. 被引量:20
  • 3Joshua J Comer, Gary B. Lamont: Parallel Simulation of UAV Swarm Scenarios [C]// Proceedings of the 2004 Winter Simulation Conference. USA: WSC, 2004.
  • 4Software Reviews. From SwarmWiki, the agent-based modelling resource [EB/OL]. (2006-10) http YAvww.swann.orgwikiSoitware_Reviews.
  • 5Seth Tisue, Uri Wilensky. NetLogo: Design and Implementation of a Multi-Agent Modeling Environment. Center for Connected Learningand Computer-Based Modeling, Northwestem University [EB/OL]. (2004-7). http://ccl.northwestem.edu/NetLogo/.
  • 6Tisue Seth, Uri Wilensky. NetLogo: A Simple Environment for Modeling Complexity [C]// Intemational Conference on Complex Systems, 2004: 23-45.
  • 7Nelson Minar. The Swarm Simulation System: A Toolkit For Building Multi-Agent Simulations [EB/OL]. (2003-11). http://www. santafe.edu/projects/swarm.
  • 8Marcus Daniels. Swarm Development Group: An open framework for agent-based modeling [EB/OL]. (2005-03). http://www.santafe. edu/-mgd/lanl/framework.html.
  • 9Nick Collier. Repast: An Extensible Framework for Agent Simulation [EB/OL]. (2001). http://www.econ.iastate.edu/tesfatsi/ ReDastTutorial. Collier.pdf.
  • 10Scan Luke, Claudio Cioffi-Revilla, Liviu Panait. MASON: A New Multi-Agent Simulation Toolkit. Department of Computer Science and Center for Social Complexity, George Mason University [EB/OL]. (2007-06). http://cs.gmu.edu/ eclab/projects/mason/.

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