What is it about?
People on an airport seem to walk randomly through each other, but below that behavior are some clear intensions (dropping of luggage, going through security). Not everybody acts the same, because some have to say goodbyes or have to the toilet. Some people travel alone, other in groups. By modelling this intensions, tasks and durations of delays the behavior of the individuals in a crowd can be realisticly modelled.
Featured Image
Photo by Timon Studler on Unsplash
Why is it important?
Simulations of individuals in crowd are essential when you want to do anomaly detection, increase the efficiency of a building, or evaluate tracking software. When the behavior is not realistic or not complex enough, those algorithms cannot be well tested.
Perspectives
I like this publication, because it uses coloured Petri-Net tokens. Petri-Net tokens are great if you have to schedule events, but the coloured variants allow to differentiate between events that happen.
Dr. Arnoud Visser
Universiteit van Amsterdam
Read the Original
This page is a summary of: Modeling Pedestrians in an Airport Scenario with a Time-Augmented Petri Net, January 2013, Springer Science + Business Media,
DOI: 10.1007/978-3-642-33932-5_50.
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