Abstract
The knowledge of phenomena connected with pedestrian movement and behavior is important in retail and service sectors. Such a belief finds confirmation in numerous researches, which proved true a strong relationship between shops’ profitability and the way customers move inside them. The goal of the article is to work out a model of pedestrian behavior in a shopping mall based on a multi-agent approach on the basis of some already-existing successful solutions, namely we combine PED4 and Social Distances algorithms into one simulation framework.
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Kłeczek, P., Wąs, J. (2014). Simulation of Pedestrians Behavior in a Shopping Mall. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_69
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DOI: https://doi.org/10.1007/978-3-319-11520-7_69
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11519-1
Online ISBN: 978-3-319-11520-7
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