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Analysis of an efficient rule-based motion planning system for simulating human crowds

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Abstract

This paper proposes a rule-based motion planning system for agent-based crowd simulation, consisting of sets of rules for both collision avoidance and collision response. In order to avoid an oncoming collision, a set of rules for velocity sampling and evaluation is proposed, which aims to choose a velocity with an expected time to collision larger than a predefined threshold. In order to improve the efficiency over existing methods, the sampling procedure terminates upon finding an appropriate velocity. Moreover, the proposed motion planning system does not guarantee a collision-free movement. In case of collision, another set of rules is also defined to direct the agent to make a corresponding response. The experiment results show that the proposed approach can be applied in different scenarios, while making the simulation execution efficient.

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Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, 639798, Singapore, Singapore

    Muzhou Xiong, Michael Lees, Wentong Cai, Suiping Zhou & Malcolm Yoke Hean Low

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  1. Muzhou Xiong
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  2. Michael Lees
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  3. Wentong Cai
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  4. Suiping Zhou
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  5. Malcolm Yoke Hean Low
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Corresponding author

Correspondence to Muzhou Xiong.

Additional information

This paper is an extended version of our paper titled “A Rule-Based Motion Planning for Crowd Simulation” that appeared in the proceedings of 2009 International Conference on Cyberworlds (Cyberworlds 2009), pp. 88–95.

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Xiong, M., Lees, M., Cai, W. et al. Analysis of an efficient rule-based motion planning system for simulating human crowds. Vis Comput 26, 367–383 (2010). https://doi.org/10.1007/s00371-010-0421-6

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