应急撤离场景中群体信息交流行为建模

doi:10.16182/j.issn1004731x.joss.201807007

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (7): 2482-2488.doi: 10.16182/j.issn1004731x.joss.201807007

应急撤离场景中群体信息交流行为建模

毛天露¹, 何相君¹, 黄英凡^1,2, 蒋浩¹

1. 中国科学院计算技术研究所前瞻研究实验室,北京 100190;
2. 中国科学院大学,北京 100049

收稿日期:2017-08-15 出版日期:2018-07-10 发布日期:2019-01-08
作者简介:毛天露(1977-),女,浙江,博士,副研究员,研究方向为虚拟现实与智能人机交互。
基金资助:
国家重点研发计划(2016YFC0802500),国家自然科学基金(61532002),十三五装备预先研究共用技术(41402050301-170441402065),中科院STS项目 (KFJ-SW-STS-155)

Modeling on Information Exchange Behavior in Emergency Evacuation

Mao Tianlu¹, He Xiangjun¹, Huang Yingfan^1,2, Jiang Hao¹

1. Lab for Advanced Computing Research, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2017-08-15 Online:2018-07-10 Published:2019-01-08

摘要/Abstract

摘要： 提出了一种应急撤离场景中群体信息交流行为的建模方法,从动态环境中信息交流的内容、特点、方式等角度,对应急撤离中的信息交流行为进行描述;并通过代价评估、路径规划等,建立已知信息对撤离决策的影响模型;结合已有的群体运动模型,实现了应急撤离行为的建模与仿真。可以较好地描述群体之间信息交流,并基于信息进行行为决策,模拟实现逼真的撤离行为,仿真结果与真人实验有较高的吻合度。

关键词: 群体仿真, 应急撤离, 运动建模, 信息交流, 路径规划

Abstract: A method for modeling the information exchange behavior in an emergent crowd evacuation is proposed in this paper. It describes several aspects of information exchange in dynamic environments, includes contents, characteristics and ways of exchange. The influence model of know information on evacuation decision is built by cost evaluation and path planning. Combined with the existing crowd locomotion model, our method could model and simulate crowd evacuation in emergent situation. Realistic results with dynamic information exchanges and dynamic behavioral decision of crowds are given. The simulation results have a high coincidence degree with the real person experiments.

Key words: crowd simulation, emergency evacuation, motion modeling, information exchange, path planning

中图分类号:

TP391.9

毛天露, 何相君, 黄英凡, 蒋浩. 应急撤离场景中群体信息交流行为建模[J]. 系统仿真学报, 2018, 30(7): 2482-2488.

Mao Tianlu, He Xiangjun, Huang Yingfan, Jiang Hao. Modeling on Information Exchange Behavior in Emergency Evacuation[J]. Journal of System Simulation, 2018, 30(7): 2482-2488.

参考文献

[1] Junior J C, Musse S R, Jung C R.Crowd Analysis Using Computer Vision Techniques[J]. IEEE Signal Processing Magazine (S1053-5888), 2010, 27(5): 66-77.
[2] Sivers von I, Templeton A, Köster G. Humans do not Always Act Selfishly: Social Identity and Helping in Emergency Evacuation Simulation[J]. Transportation Research Procedia (S2352-1465), 2014(2): 585-593.
[3] O'Flaherty C A, Parkinson M H. Movement on a City Centre Footway[J]. Traffic engineering and control (S0041-0683), 1972, 13(10): 434-438.
[4] Løvås G G.Modeling and Simulation of Pedestrian Traffic Flow[J]. Transportation Research Part B: Methodological, Pergamon(S0191-2615), 1994, 28(6): 429-443.
[5] Ashford N, O'LEARY M, McGinity P D. Stochastic Modeling of Passenger and Baggage Flows Through an Airport Terminal[J]. Traffic Engineering & Control (S0041-0683), 1976, 17(5): 207-210.
[6] Henderson L F.On the Fluid Mechanics of Human Crowd Motion[J]. Transportation research(S0041-1647), 1974, 8(6): 509-515.
[7] Helbing D, Molnar P.Social Force Model for Pedestrian Dynamics[J]. Physical Review E, American Physical Society(S1063-651X), 1995, 51(5): 4282-4286.
[8] Muramatsu M, Nagatani T.Jamming Transition in Two-dimensional Pedestrian Traffic[J]. Physica A: Statistical Mechanics and its Applications(S0378-4371), 2000, 275(1/2): 281-291.
[9] Reynolds C W.Steering Behaviors for Autonomous Characters[J]. Game developers conference (S1474-547X), 1999: 763-782.
[10] Tang F, Ren A.Agent-based Evacuation Model Incorporating Fire Scene and Building Geometry[J]. Tsinghua Science & Technology(S1007-0214), 2008, 13(5): 708-714.
[11] Yamamoto F.Investigation of an Agent-Based Modeling on Crowd Evacuation and Its Application to Real Buildings[J]. International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management(S0302-9743). Springer, Berlin, Heidelberg, 2013: 373-382.
[12] Ma P, Wang B.The Escape of Pedestrians with View Radius[J]. Physica A(S0378-4371), 2013, 392(1): 215-220.
[13] Wagner N, Agrawal V.An Agent-based Simulation System For Concert Venue Crowd Evacuation Modeling in the Presence of a Fire Disaster[J]. Expert Systems with Applications(S0957-4174), 2014, 41(6): 2807-2815.
[14] Song Y, Gong J, Li Y.Crowd Evacuation Simulation for Bioterrorism in Micro-spatial Environments Based on Virtual Geographic Environments[J]. Safety science (S0925-7535), 2013(53): 105-113.
[15] 税斌. 基于ORCA碰撞避免的人群疏散模拟[J]. 现代计算机(专业版), 2016(2): 73-75.
SHUI Bin.Crowd Evacuate Simulation Based on ORCA Collision Avoidance[J]. Modern Computer, 2016(2): 73-75.
[16] 李焱, 刘弘, 郑向伟. 折半聚类算法在基于社会力的人群疏散仿真中的应用[J]. 计算机应用, 2017, 37(5): 1491-1495, 1511.
LI Yan, LIU Hong, ZHENG Xiangwei.Application of Binary Clustering Algorithm to Crowd Evacuation Simulation Based on Social Force[J]. Journal of Computer Applications, 2017, 37(5): 1491-1495, 1511.
[17] 赵巍, 刘畅, 廉兴宇, 等. 人群运动仿真和疏散优化方法设计与实现[J]. 系统仿真学报, 2014, 26(3): 523-529.
ZHAO Wei, LIU Chang, LIAN Xing-yu, et al.Simulation of Crowd Movement and Design and Implementation of Evacuation Optimization Method[J]. Journal of System Simulation, 2014, 26(3): 523-529.
[18] Van den Berg J, Lin M, Manocha D. Reciprocal Velocity Obstacles for real-time multi-agent navigation[J]. 2008 IEEE International Conference on Robotics and Automation (ICRA), IEEE (S1050-4729), 2008: 1928-1935.

应急撤离场景中群体信息交流行为建模

Modeling on Information Exchange Behavior in Emergency Evacuation

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