Abstract
Many pedestrian simulation models for micro-scale spaces as building indoor areas have been proposed for the last decade and two models – social force model and floor field model – are getting attention. Among these, the CA-based floor field model is viewed more favorable for computer simulations than computationally complex social force model. However, previous floor field-based models have limitations in capturing the differences in dynamic values of different agents. In this study, we improved the floor field model in order for an agent to be able to exclude the influences of its own dynamic values by changing the data structure, and, also modified the initial dynamic value problem in order to fit more realistic environment. As the simulation data structure, we also proposed using a DBMS-based 3D modeling approach. In the simulations, we used real 3D building data stored in a spatial DBMS considering future integration with indoor localization sensors and real time applications. We illustrated the data construction processes and simulations using the proposed enhanced algorithms and DBMS approach.
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Jun, C., Kim, H. (2011). A 3D Indoor Pedestrian Simulator Using an Enhanced Floor Field Model. In: Filipe, J., Fred, A., Sharp, B. (eds) Agents and Artificial Intelligence. ICAART 2010. Communications in Computer and Information Science, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19890-8_10
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DOI: https://doi.org/10.1007/978-3-642-19890-8_10
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