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. © 2013 Springer-Verlag.
CITATION STYLE
Smits, D., Visser, A., & Groen, F. C. A. (2013). Modeling pedestrians in an airport scenario with a time-augmented Petri net. In Advances in Intelligent Systems and Computing (Vol. 194 AISC, pp. 543–551). Springer Verlag. https://doi.org/10.1007/978-3-642-33932-5_50
Mendeley helps you to discover research relevant for your work.