Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Simulating evacuation crowd with emotion and personality

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

As the number of emergencies continues to increase, technologies about crowd evacuation simulation in emergencies have attracted widespread attention. Virtual simulation technology can deduce the behavior of the crowd in emergencies and can be an intuitive tool for defining contingency plans. In emergencies, the crowd will be in a state of panic. The emotional contagion will easily lead to the crowd congestion and cause the accident. However, the influences of the emotional contagion are not well considered in the existing studies. This paper proposes a model of emotional contagion. It simulates the crowd evacuation behaviors in a fire scenario in supermarket to verify the influence of the emotional contagion. Experimental results show that emotional contagion may facilitate the spread of information among the crowd. Appropriate emotional contagion can speed up the evacuation of the crowd, but congestion may happen if the panic emotion spread too fast. This study can provide a new method to analyze crowd evacuation in emergencies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. John HM, Scott EP, Long YT (2012) Complex adaptive systems: an introduction to computational models of social life. Shanghai People’s Publishing House, Shanghai

    Google Scholar 

  2. Philip B, Bao YN (2011) Predict the society: critical mass. Contemporary China Publishing House, Beijing

    Google Scholar 

  3. China Association for Science and Society of the Ministry (2009) Can society compute. Science and technology of China Press, Beijing

    Google Scholar 

  4. Wang FY, Li XC, Mao JW, Wang T (2013) Social computing methods and applications. Zhejiang University Press, Hangzhou

    Google Scholar 

  5. Qiu XG, Fan ZC, Chen B, Cao ZD, Wang FY (2011) Requirements and challenges of modeling and simulation in the unconventional emergency management. Syst Simul Technol 3(3):169–176

    Google Scholar 

  6. Duan W, Cao ZD, Qiu XG, Wang FY, Zeng DJ (2012) Semantic modeling for artificial society in parallel emergency management system. Syst Eng Theory Pract 32(5):1010–1017

    Google Scholar 

  7. Liao DS, Hou BN, Wang B, Guo Q, Guo J (2011) Crowd psychology simulation incorporating psychometrics and intervention of relationship spaces. J Natl Univ Def Technol 33(3):151–156

    Google Scholar 

  8. Zheng XP, Zhong TK, Liu MT (2009) Study on numeral simulation approaches of crowd evacuation. J Syst Simul 21(12):3503–3508

    Google Scholar 

  9. Chen X, Fei Q, Li W (2009) A preliminary research on urban mass panic based on computational methods for experiment. J Huazhong Univ Sci Technol (Soc Sci Ed) 23(2):34–37

    Google Scholar 

  10. Li F, Shen HZ, Liu SL, Zhang C (2011) The analysis of group behavior dynamics in crisis based on psychological threshold model. J Syst Manag 20(5):513–519

    Google Scholar 

  11. Sun DY (2007) Public emergency and behavioral decision-making. Social Sciences Academic Press (China), Beijing

    Google Scholar 

  12. Thalmann D, Musse SR (2013) Crowd simulation, 2nd edn. Springer, London

    Book  Google Scholar 

  13. Kapadia M, Singh S, Reinman G, Faloutsos P (2011) A behavior-authoring framework for multiactor simulations. IEEE Comput Graph Appl 31(6):45–55

    Article  Google Scholar 

  14. Karamouzas I, Overmars M (2012) Simulating and evaluating the local behavior of small pedestrian groups. IEEE Trans Visual Comput Graph 18(3):394–406

    Article  Google Scholar 

  15. Lacroix B, Mathieu P, Kemeny A (2013) Formalizing the construction of populations in multi-agent simulations. Eng Appl Artif Intell 26:211–222

    Article  Google Scholar 

  16. Ren WY, Li GH, Sun BL, Huang KH (2014) Unsupervised kernel learning for abnormal events detection. Vis Comput 31(3):245–255

    Article  Google Scholar 

  17. Ricks BC, Egbert PK (2012) More realistic, flexible, and expressive social crowds using transactional analysis. Vis Comput 28:889–898

    Article  Google Scholar 

  18. Sakuma T, Mukai T, Kuriyama S (2005) Psychological model for animating crowded pedestrians. Comput Anim Virtual Worlds 16:343–351

    Article  Google Scholar 

  19. Beltaief O, Hadouaj SE, Ghedira K (2011) Multi-agent simulation model of pedestrians crowd based on psychological theories. In: Proceedings of the 4th international conference on logistics (LOGISTIQUA), IEEE, pp 150–156

  20. Park JH, Rojas FA, Yang HS (2013) A collision avoidance behavior model for crowd simulation based on psychological findings. Comput Anim Virtual Worlds 24:173–183

    Article  Google Scholar 

  21. Wagner N, Agrawal V (2014) An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster. Expert Syst Appl 41:2807–2815

    Article  Google Scholar 

  22. Joo J, Kim N, Wysk RA, Rothrock L, Son YJ, Oh YG, Lee S (2013) Agent-based simulation of affordance-based human behaviors in emergency evacuation. Simul Model Pract Theory 32:99–115

    Article  Google Scholar 

  23. Pelechano N, Badler NI (2006) Modeling crowd and trained leader behavior during building evacuation. IEEE Comput Graph Appl 26(6):80–86

    Article  Google Scholar 

  24. Song YQ, Gong JH, Li Y, Cui TJ, Fang LQ, Cao WC (2013) Crowd evacuation simulation for bioterrorism in micro-spatial environments based on virtual geographic environments. Saf Sci 53:105–113

    Article  Google Scholar 

  25. Mao WJ, Gratch J, Li XC (2012) Probabilistic plan inference for group behavior prediction. IEEE Intell Syst 27(4):27–36

    Article  Google Scholar 

  26. Manzoor A, Treur J (2013) Modelling the role of emotion regulation and contagion in socially affected decision making. Proc Soc Behav Sci 97:73–82

    Article  Google Scholar 

  27. Hatfield E, Cacioppo JT, Rapson RL (1994) Emotional contagion. Cambridge University Press, Cambridge

    Google Scholar 

  28. Bosse T, Hoogendoorn M, Klein MA, Treur J, van der Wal CN, van Wissen (2013) A.:Modelling collective decision making in groups and crowds: integrating social contagion and interacting emotions, beliefs and intentions. Auton Agent Multi-Agent Syst 27(1):52–84

    Article  Google Scholar 

  29. Durupinar F, Gudukbay U, Aman A, Badler NI (2016) Psychological parameters for crowd simulation: from audiences to mobs. IEEE Trans Vis Comput Graph 22(9):2145–2159

    Article  Google Scholar 

  30. Neto ABF, Pelachaud C, Musse SR (2017) Giving emotional contagion ability to virtual agents in crowds, vol 10498 LNAI. In: 17th international conference on intelligent virtual agents, IVA 2017. Springer, pp 63–72

  31. Ntika M, Sakellariou I, Kefalas P, Stamatopoulou I (2014) Experiments with emotion contagion in emergency evacuation simulation. In: Paper presented at the 4th international conference on web intelligence, mining and semantics, WIMS 2014, Thessaloniki

  32. Tsai J, Bowring E, Marsella S, Tambe M (2013) Empirical evaluation of computational fear contagion models in crowd dispersions. Auton Agent Multi-Agent Syst 27(2):200–217

    Article  Google Scholar 

  33. Liu Z, Jin W, Huang P, Chai YJ (2013) An emotion contagion simulation model for crowd events. J Comput Res Dev 50(12):2578–2589

    Google Scholar 

  34. Kefalas P, Sakellariou I (2017) The invalidity of validating emotional multi-Agent systems simulations. In: Paper presented at the 8th Balkan conference in informatics, BCI 2017

  35. Ding AW (2011) Implementing real-time grouping for fast egress in emergency. Saf Sci 49(10):1404–1411

    Article  Google Scholar 

  36. Fridman N, Kaminka G (2010) Modeling pedestrian crowd behavior based on a cognitive model of social comparison theory. Comput Math Organ Theory 16(4):348–372

    Article  Google Scholar 

  37. Lovreglio R, Fonzone A, dell’Olio L, Borri D (2016) A study of herding behaviour in exit choice during emergencies based on random utility theory. Saf Sci 82:421–431

    Article  Google Scholar 

  38. Zhang PH, Shang RX, Jiang ZM, Liu YH (2011) Investigation and analysis of evacuation behavior in a large shopping mall. Dongbei Daxue Xuebao/J Northeast Univ 32(3):439–442

    Google Scholar 

  39. Durupinar F, Allbeck J, Pelechano N, Badler N (2008) Creating crowd variation with the ocean personality model. In: The 7th international joint conference on autonomous agents and multiagent systems, vol 3, pp 1217–1220

Download references

Acknowledgements

This work was sponsored by Natural Science Foundation of Zhejiang (Grant nos. LQ17F020001, LY15F030008), Ningbo Science Technology Plan projects (Grant nos. 2016D10016, 2017C50018, 2017A610113), Research Foundation of Ningbo University (XYL18026), Project of Medical Science and Technology Plan in Ningbo (2016A07), Project of Medical and Health Science and Technology Plan in Zhejiang (2017PY027).

Author information

Authors and Affiliations

  1. College of Science and Technology, Ningbo University, 505 Yuxiu Road, Zhuangshi Street, Zhenghai District, Ningbo, 315212, China

    Tingting Liu, Jin Wang & Peng Huang

  2. Faculty of Information Science and Engineering, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo, 315211, China

    Zhen Liu & Yanjie Chai

  3. Ningbo City College of Vocational Technology, 9 Xuefu Road, Yinzhou Higher Educational Zone, Ningbo, 315100, China

    Xueyan Lin

Authors
  1. Tingting Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhen Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yanjie Chai
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xueyan Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Peng Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhen Liu.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, T., Liu, Z., Chai, Y. et al. Simulating evacuation crowd with emotion and personality. Artif Life Robotics 24, 59–67 (2019). https://doi.org/10.1007/s10015-018-0459-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-018-0459-5

Keywords

Search

Navigation