一种考虑吸引型异常事件的行人元胞自动机模型

交通运输系统工程与信息 ›› 2015, Vol. 15 ›› Issue (3): 56-63.

• 智能交通系统与信息技术 • 上一篇下一篇

一种考虑吸引型异常事件的行人元胞自动机模型

陈艳艳^*，陈宁，王杨，冯国臣

北京工业大学城市交通学院，北京100124

收稿日期:2014-10-29 修回日期:2015-01-13 出版日期:2015-06-25 发布日期:2015-06-29
作者简介:陈艳艳（1970-），女，河南人，教授.
基金资助:
交通运输部重大科技专项（2012-364-220-109）.

A Cellular Automata Model Considering Attractive Incidents

CHEN Yan-yan, CHEN Ning,WANG Yang, FENG Guo-chen

The College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China

Received:2014-10-29 Revised:2015-01-13 Online:2015-06-25 Published:2015-06-29

摘要/Abstract

摘要：

鉴于目前行人元胞自动机仿真研究中对于吸引型异常事件情况下模型的缺失，本文提出了一种特殊的考虑吸引型异常事件的行人元胞自动机模型.当异常事件发生后，模型将行人分为漠视、驻足、围观和围观离开四种类型.漠视类型指对异常事件毫无兴趣，不受异常事件影响的行人，其动力特性与行人在正常情况下的动力特性一致；驻足类型指对异常事件较有兴趣，驻足观看的行人，其动力特性由能使行人在原地停留的驻足效用值决定；围观类型指对异常事件极有兴趣，向异常事件中心靠近围观的行人，其动力特性由围观效用决定；围观离开类型指对异常事件失去兴趣，从围观人群离开的行人，其动力特性由围观离开效用决定.仿真效果显示，该模型基本可反映行人聚集围观的表征和内部特性.

关键词: 交通工程, 仿真模型, 元胞自动机, 行人

Abstract:

Due to the lack of modelling pedestrian behaviors under the incidents that attract pedestrians, this paper proposes a new cellular automaton model aiming to reproduce the behaviors induced by such attractive incidents. When attractive incidents occur, the proposed model will classify the pedestrians into four groups: unaffected, stopped and circusee (i.e. surround and watch) and circusee-leave pedestrians. The dynamics of unaffected type is same as that under normal circumstances. The stopped type represents the pedestrian is somewhat interested in the attractive incident. Its dynamics is determined by stopped utility which can make the pedestrian stop for a while. The circusee type represents pedestrians who show strong interest in the attractive incidents and are intended to move closer to the venue and gain more knowledge. Its dynamics is determined by circusee utility. The circusee-leave type represents the pedestrian that loses interest and wants to leave the crowd. Its dynamics is determined by circusee- leave utility. The simulation results demonstrate that the proposed model can reflect the surface and internal characteristic of pedestrian gathering.

Key words: traffic engineering, simulation model, cellular automata, pedestrian

中图分类号:

U495

陈艳艳，陈宁，王杨，冯国臣. 一种考虑吸引型异常事件的行人元胞自动机模型[J]. 交通运输系统工程与信息, 2015, 15(3): 56-63.

CHEN Yan-yan, CHEN Ning,WANG Yang, FENG Guo-chen. A Cellular Automata Model Considering Attractive Incidents[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(3): 56-63.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract18994.shtml

http://www.tseit.org.cn/CN/Y2015/V15/I3/56

参考文献

[1] Blue V J, Adler J L. Cellular automata microsimulation for modeling bi-directional pedestrian walkways[J]. Transportation Research Part B-Methodological, 2001, 35(3): 293-312.

[2] Burstedde C, et al. Simulation of pedestrian dynamics using a two-dimensional cellular automaton[J]. Physica A, 2001, 295(2001):507-525.

[3] Schadschneider A. Cellular automaton approach to pedestrian dynamics-theory[J]. Springer, 2001:75-85.

[4] Blue V J, Adler J L. Emergent fundamental pedestrian flows from cellular automata microsimulation[J]. Traffic Flow Theory, 1998(1644):29-36.

[5] Yue H, et al. Simulation of pedestrian flow on square lattice based on cellular automata model[J]. Physica AStatistical Mechanics and ITS Applications, 2007, 384 (2): 567-588.

[6] Kirchner A, Nishinari K, Schadschneider A. Friction effects and clogging in a cellular automaton model for pedestrian dynamics[J]. Physical Review E, 2003, 67(5): 1-12.

[7] Helbing D, Farkas I, Vicsek T. Simulating dynamical features of escape panic[J]. Nature, 2000, 407(6803): 487-490.

[8] Yamamoto K, Kokubo S, Nishinari K. Simulation for pedestrian dynamics by real-coded cellular automata (RCA) [J]. Physica A- Statistical Mechanics and ITS Applications, 2007, 379(2): 654-660.

[9] Navin F. Bicycle traffic flow characteristicsexperimental results and comparisons[J]. ITE Journal- Institute of Transportation Engineers, 1994, 64(3): 31- 36.

[10] 杨玉想, 赵春斌. 视觉特性：道路绿地景观设计的基础因素[J]. 中国园艺文摘, 2009(3): 54-55. [YANG Y X, ZHAO C B. Visual characteristic: Fundamental factors of road green space landscape design[J]. Chinese Horticulture Abstracts, 2009(3): 54-55.]

[11] 殷雁君, 唐卫清. 好奇心理的人群聚集行为仿真[J]. 智能系统学报, 2014, 9(4): 413-418. [YIN Y J, TANG W Q. Simulation of the crowd collective behavior based on curiosity[J]. Transactions on Intelligent Systems, 2014, 9 (4): 413-418.]

[12] 常钦. 基于Agent的群体性事件动力学模型研究[J]. 中国人民公安大学学报(自然科学版), 2010(4): 83-86. [CHANG Q. Research of dynamics model of mass incidents based on Agent[J]. Journal of Chinese People' s Public Security University: Science And Technology, 2010(4): 83-86.]

[13] 常钦, 党会森. 基于网格Agent的群体性事件人群聚集模型研究[J]. 中国人民公安大学学报(自然科学版), 2011, 69(3): 71-74. [CHANG Q, DANG H S. Research of crowds gathered model of mass incidents based on grid Agent[J]. Journal of Chinese People' s Public Security University: Science and Technology, 2011, 69 (3): 71-74.]

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一种考虑吸引型异常事件的行人元胞自动机模型

A Cellular Automata Model Considering Attractive Incidents

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