A case study of multi-resolution modeling for crowd simulation

Authors:
Muzhou Xiong;Wentong Cai;Suiping Zhou;Malcolme Yoke Hean Low;Feng Tian;Dan Chen;Darren Wee Sze Ong;Benjamin D. Hamilton
Affiliations:
Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Defence Science and Technology Agency, Singapore;Technical Support Working Group
Venue:
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Year:
2009

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Abstract

Crowd simulation has been becoming an efficient tool to study the crowd behavior and its movement. Macroscopic and microscopic approaches take a trade-off between efficiency and accuracy, but neither of them achieves the two goals at the same time. Aiming to achieve both efficiency and accuracy, a multi-resolution model is proposed in this paper for crowd simulation. The paper illustrates how macroscopic and microscopic models co-exist in a single simulator and the interactions between them. The simulation result of a case study shows that the proposed multi-resolution simulation model can obtain a more accurate result than that using a simple macroscopic model alone. The simulation performance is also improved in the meantime.