Abstract
The characteristic of crowd movement is reflected in two aspects, i.e., crowd behaviour and individual behaviour. The existing models, either macroscopic or microscopic model can simulate only one of them. In order to simulate both in one model, we propose a hybrid model for simulating human crowd. In the proposed model, we use macroscopic model to simulate the factors from external environment, and microscopic for agent’s behaviour. Agent can choose its movement speed and direction by its own desire, under the constraints from those external factors. In each simulation time step, the macroscopic and microscopic model are executed sequentially, and at the end of each time step, the information for macroscopic model will be updated from the simulation result by the microscopic one. Case study is also conducted for the proposed model. From the simulation result, it indicates that the proposed model is able to simulate the crowd and agent behaviour in dynamic environment.
This study was supported in part by the Fundamental Research Funds for the Central Universities, (China University of Geosciences (Wuhan), No. CUG100314 and No. CUGL100608), and National Natural Science Foundation of China (grant No. 60804036).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Banerjee B, Abukmail A, Kraemer L (2008) Advancing the layered approach to agentbased crowd simulation. In: Proceedings of 22nd international workshop on principles of advanced and distributed simulation (PADS 2008). Roma, Italy, pp 185–192
Bradley GE (1993) A proposed mathematical model for computer prediction of crowd movements and their associated risks. In: Smith RA, Dickie JF (eds) Proceedings of the international conference on engineering for crowd safety. Elsevier Publishing Company, London, UK, pp 303–311
Chenney S (2004) Flow tiles. In: Proceedings of the 2004 ACM SIGGRAPH/ Eurographics symposium on computer animation. San Diego, California, USA, pp 233–242
Daly P, McGrath F, Annesley T (1991) Pedestrian speed/flow relationships for underground stations. Traffic Eng Control 32(2):75–78
Helbing D, Farkas I, Vicsek T (2000) Simulating dynamical features of escape panic. Lett Nat 407:487–490
Hughes RL (2002) A continum theory for the flow of pedestrians. Transp Res Part B Methodol 36(6):507–535
Pan X, Han CS, Law KH (2005) A multi-agent based simulation framework for the study of human and social behavior in egress analysis. In: Proceedings of the international conference on computing in civil engineering. Law Cancun, Mexico
Pelechano N, O’Brien K, Silverman B, Badler N (2005) Crowd simulation incorporating agent psychological models, roles and communication. In: Proceedings of the first international workshop on crowd simulation. EPFL, Lausanne-Switzerland
Tanaka T (1991) A study for performance based design of means of escape in fire. In: Cox G, Langford B (eds) Proceedings of the 3rd international symposium on fire safety science. Elsevier, Amsterdam, pp 729–738
Thalmann D, Musse SR (2007) Crowd simulation. Springer, London
Treuille A, Cooper S, Popović Z (2006) Continuum crowds. In: Proceedings of ACM SIGGRAPH, pp 1160–1168
Xiong M, Lees M, Cai W, Zhou S, Low M (2010) Analysis of an efficient rule-based motion planning system for simulating human crowds. Vis Comput 26(5):367–383
Xiong M, Cai W, Zhou S, Low MYH, Tian F, Chen D, Ong DWS, Hamilton BD (2009) A case study of multi-resolution modeling for crowd simulation. In: Proceedings of the 2009 spring simulation multiconference (SpringSim 2009). San Diego, California, USA
Xiong M, Lees M, Cai W, zhou S, Low MYH (2009) Hybrid modelling of crowd simulation. Procedia Comput Sci 1(1):57–65
Zhang Y, Zhao H, Qian J (2006) High order fast sweeping methods for static Hamilton–Jacobi equations. J Sci Comput 29(1):25–26
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
Xiong, M., Li, H., Wang, H., Zeng, W., Dou, M., Chen, D. (2011). A Hybrid Model for Simulating Human Crowd. In: Park, J., Jin, H., Liao, X., Zheng, R. (eds) Proceedings of the International Conference on Human-centric Computing 2011 and Embedded and Multimedia Computing 2011. Lecture Notes in Electrical Engineering, vol 102. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2105-0_13
Download citation
DOI: https://doi.org/10.1007/978-94-007-2105-0_13
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-2104-3
Online ISBN: 978-94-007-2105-0
eBook Packages: EngineeringEngineering (R0)