Modeling gap seeking behaviors for agent-based crowd simulation

Luo, Linbo, Chai, Cheng, Zhou, Suiping and Ma, Jianfeng (2016) Modeling gap seeking behaviors for agent-based crowd simulation. In: The 29th International Conference on Computer Animation and Social Agents, 23-25 May 2016, Geneva, Switzerland.

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Abstract

Research on agent-based crowd simulation has gained tremendous momentum in recent years due to the increase of computing power. One key issue in this research area is to develop various behavioral models to capture the microscopic behaviors of individuals (i.e., agents) in a crowd. In this paper, we propose a novel behavior model for modeling the gap seeking behavior which can be frequently observed in real world scenarios where an individual in a crowd proactively seek for gaps in the crowd flow so as to minimize potential collision with other people. We propose a two-level modeling framework and introduce a gap seeking behavior model as a proactive conflict minimization maneuver at global navigation level. The model is integrated with the reactive collision avoidance model at local steering level. We evaluate our model by simulating a real world scenario. The results show that our model can generate more realistic crowd behaviors compared to the classical social-force model in the given scenario.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 23686
Notes on copyright: © ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CASA '16: Proceedings of the 29th International Conference on Computer Animation and Social Agents, http://dx.doi.org/10.1145/2915926.2915944
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Depositing User: Suiping Zhou
Date Deposited: 28 Feb 2018 11:46
Last Modified: 03 Apr 2019 09:11
URI: https://eprints.mdx.ac.uk/id/eprint/23686

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