Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation

doi:10.1088/1674-1056/ab6b14

中国物理B ›› 2020, Vol. 29 ›› Issue (3): 38901-038901.doi: 10.1088/1674-1056/ab6b14

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇下一篇

Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation

Ya-Ping Ma(马亚萍), Hui Zhang(张辉)

1 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
2 School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
3 Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China

收稿日期:2019-09-05 修回日期:2020-01-05 出版日期:2020-03-05 发布日期:2020-03-05
通讯作者: Ya-Ping Ma E-mail:mayp18@whut.edu.cn
基金资助:
Project supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2017YFC083300), the National Natural Science Foundation of China (Grant Nos. 91646201, U1633203, and 51808422), and the Independent Innovation Foundation of Wuhan University and Technology, China (Grant No. 2019IVA011).

Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation

Ya-Ping Ma(马亚萍)^1,2, Hui Zhang(张辉)³

1 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
2 School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
3 Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China

Received:2019-09-05 Revised:2020-01-05 Online:2020-03-05 Published:2020-03-05
Contact: Ya-Ping Ma E-mail:mayp18@whut.edu.cn
Supported by:
Project supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2017YFC083300), the National Natural Science Foundation of China (Grant Nos. 91646201, U1633203, and 51808422), and the Independent Innovation Foundation of Wuhan University and Technology, China (Grant No. 2019IVA011).

摘要/Abstract

摘要： Pedestrian evacuation is actually a process of behavioral evolution. Interaction behaviors between pedestrians affect not only the evolution of their cooperation strategy, but also their evacuation paths-scheduling and dynamics features. The existence of interaction behaviors and cooperation evolution is therefore critical for pedestrian evacuation. To address this issue, an extended cellular automaton (CA) evacuation model considering the effects of interaction behaviors and cooperation evolution is proposed here. The influence mechanism of the environment factor and interaction behaviors between neighbors on the decision-making of one pedestrian to path scheduling is focused. Average payoffs interacting with neighbors are used to represent the competitive ability of one pedestrian, aiming to solve the conflicts when more than one pedestrian competes for the same position based on a new method. Influences of interaction behaviors, the panic degree and the conflict cost on the evacuation dynamics and cooperation evolution of pedestrians are discussed. Simulation results of the room evacuation show that the interaction behaviors between pedestrians to a certain extent are beneficial to the evacuation efficiency and the formation of cooperation behaviors as well. The increase of conflict cost prolongs the evacuation time. Panic emotions of pedestrians are bad for cooperation behaviors of the crowd and have complex effects on evacuation time. A new self-organization effect is also presented.

关键词: pedestrian evacuation, evacuation time, interaction behaviors, cooperation

Abstract: Pedestrian evacuation is actually a process of behavioral evolution. Interaction behaviors between pedestrians affect not only the evolution of their cooperation strategy, but also their evacuation paths-scheduling and dynamics features. The existence of interaction behaviors and cooperation evolution is therefore critical for pedestrian evacuation. To address this issue, an extended cellular automaton (CA) evacuation model considering the effects of interaction behaviors and cooperation evolution is proposed here. The influence mechanism of the environment factor and interaction behaviors between neighbors on the decision-making of one pedestrian to path scheduling is focused. Average payoffs interacting with neighbors are used to represent the competitive ability of one pedestrian, aiming to solve the conflicts when more than one pedestrian competes for the same position based on a new method. Influences of interaction behaviors, the panic degree and the conflict cost on the evacuation dynamics and cooperation evolution of pedestrians are discussed. Simulation results of the room evacuation show that the interaction behaviors between pedestrians to a certain extent are beneficial to the evacuation efficiency and the formation of cooperation behaviors as well. The increase of conflict cost prolongs the evacuation time. Panic emotions of pedestrians are bad for cooperation behaviors of the crowd and have complex effects on evacuation time. A new self-organization effect is also presented.

Key words: pedestrian evacuation, evacuation time, interaction behaviors, cooperation

中图分类号: (Transportation)

89.40.-a

05.50.+q (Lattice theory and statistics) 05.45.Pq (Numerical simulations of chaotic systems) 07.05.Tp (Computer modeling and simulation)

马亚萍, 张辉. Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation[J]. 中国物理B, 2020, 29(3): 38901-038901.

Ya-Ping Ma(马亚萍), Hui Zhang(张辉). Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation[J]. Chin. Phys. B, 2020, 29(3): 38901-038901.

参考文献 29

[1]	Helbing D 2000 Nature 407 487 doi: 10.1038/35035023
[2]	Helbing D and Molnár P 1995 Phys. Rev. E 51 4282 doi: 10.1103/PhysRevE.51.4282
[3]	Li S Y, Zhuang J, Shen S F and Wang J 2017 Physica A 481 127 doi: 10.1016/j.physa.2017.04.011
[4]	Li Q R, Gao Y C, Chen L and Kang Z X 2019 Physica A 533 122068 doi: 10.1016/j.physa.2019.122068
[5]	Kirchner A and Schadschneider A 2002 Physica A 312 260 doi: 10.1016/S0378-4371(02)00857-9
[6]	Luo L, Fu Z J, Cheng H and Yang L Z 2018 Physica A 491 946 doi: 10.1016/j.physa.2017.09.049
[7]	Helbing D, Isobe M, Nagatani T and Takimoto K 2003 Phys. Rev. E 67 067101 doi: 10.1103/PhysRevE.67.067101
[8]	Hao Q Y, Jiang R, Hu M B, Jia B and Wu Q S 2011 Phys. Rev. E 84 036107 doi: 10.1103/PhysRevE.84.036107
[9]	Song W G, Xu X, Wang B H and Ni S J 2006 Physica A 363 492 doi: 10.1016/j.physa.2005.08.036
[10]	Fu L B, Song W G, Lv W and Liu X D 2016 Simul. Model. Pract. Th. 60 1 doi: 10.1016/j.simpat.2015.09.007
[11]	Fang J, Tawil S E and Aguirre B 2015 J. Comput. Civil Eng. 30 04015066
[12]	Li X L, Guo F, Kuang H and Zhou H G 2017 Physica A 487 47 doi: 10.1016/j.physa.2017.05.070
[13]	Chen S Y, Fu L B, Fang J and Tang P Y 2019 Physica A 534 122333 doi: 10.1016/j.physa.2019.122333
[14]	Sieben A, Schumann J and Seyfried A 2017 Plos One 12 e0177328
[15]	Zeng Y P, Song W G, Jin S and Ye R 2017 Physica A 479 26 doi: 10.1016/j.physa.2017.02.060
[16]	Cao S C, Song W G, Lv W and Fang Z M 2015 Physica A 436 45 doi: 10.1016/j.physa.2015.05.019
[17]	Wang X L, Guo W and Zheng X P 2015 Chin. Phys. B 24 070504 doi: 10.1088/1674-1056/24/7/070504
[18]	Lu L L, Ren G, Wang W and Wang Y 2014 Chin. Phys. B 23 088901 doi: 10.1088/1674-1056/23/8/088901
[19]	Chen C K and Tong T H 2019 Chin. Phys. B 23 010503
[20]	Yang X X, Dong H R, Wang Q L, Chen Y and Hu X M 2014 Physica A 411 63 doi: 10.1016/j.physa.2014.05.068
[21]	Ibrahim A M, Venkat I and Wilde P D 2017 Physica A 479 485 doi: 10.1016/j.physa.2017.03.024
[22]	Nowak A M 2006 Science 314 1560 doi: 10.1126/science.1133755
[23]	Huang K K and Zheng X P 2017 Appl. Math. Comput. 298 57
[24]	Zheng X P and Cheng Y 2011 Comput. Math. Appl. 62 4627 doi: 10.1016/j.camwa.2011.10.048
[25]	Zheng X P and Cheng Y 2011 Physica A 390 1042 doi: 10.1016/j.physa.2010.12.007
[26]	Chen Y Z, Li M, Jiang R and Hu M B 2018 Chin. Phys. B 27 088901 doi: 10.1088/1674-1056/27/8/088901
[27]	Shi D M, Zhang W Y and Wang B H 2017 J. Stat. Mech.: Theory Exp. 2017 043407 doi: 10.1088/1742-5468/aa68b3
[28]	Guan J B, Wang K H and Chen F Y 2016 Physica A 461 655 doi: 10.1016/j.physa.2016.05.062
[29]	Yanagisawa D, Kimura A, Tomoeda A, Nishi R, Suma Y, Ohtsuka K and Nishinari K 2009 Phys. Rev. E 80 036110 doi: 10.1103/PhysRevE.80.036110

Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation

Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation

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