Abstract
In this paper time-augmented Petri nets are used to model people in the transit hall of an airport. Their behavior is strongly influenced by an event with a clear deadline (their flight), but typically there is so much time left that they linger and can be tempted to show random other behaviors, often induced by the location (encountering a coffee corner or a toilet). All behaviors are stochastic, but the firing rate is made a function of both location and time. This framework allows to show a rich set of behaviors; the diversity of the emergent behaviors is initiated with probabilities from observations in an actual transit hall of an airport.
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Smits, D., Visser, A., Groen, F.C.A. (2013). Modeling Pedestrians in an Airport Scenario with a Time-Augmented Petri Net. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33932-5_50
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DOI: https://doi.org/10.1007/978-3-642-33932-5_50
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