Improving Flexibility of Agent’s Path Selection in Cellular Pedestrian Flow Model

Juha-Matti Kuusinen () and Sergey Kitov ()
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Juha-Matti Kuusinen: KONE Elevators Ltd.
Sergey Kitov: KONE Elevators Ltd.

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 703-711 from Springer

Abstract: Abstract Motivated by the results of an exit selection experiment, this paper presents an agent-based cellular automaton with a new path selection approach. In our model, an agent first selects a target cell within a look-ahead distance by avoiding conflict with other agents and minimizing the distance to destination. Then, the agent moves to the neighbor cell which minimizes the distance to the selected target and the repulsion induced by other agents. Simulation of the experiment with our new model gives more realistic results than with a simple model taking account of only local information. Furthermore, our model successfully simulates self-organized phenomena such as lane formation.

Keywords: Cellular automata; Agent-based modeling; Path selection (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02447-9_59

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DOI: 10.1007/978-3-319-02447-9_59

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