Abstract
Pedestrian simulation is a challenging and fruitful application area for agent-based modeling and simulation in the traffic and transportation domain. In this paper we will present the concepts and results of a particular project study: an agent-based simulation of pedestrian traffic of the complete railway station of Bern during the most busy morning hours. Overall more than 40 000 agents are passing through during 1,5 virtual hours. Going beyond traditional approaches for microscopic pedestrian simulation, our simulated pedestrians are not only capable of moving without collisions between two pre-defined locations, but are able to flexibly plan and re-plan their way through the railway station. A short glance and some discussion about the potential of agent-based pedestrian simulation closes this contribution.
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Klügl, F., Rindsfüser, G. (2007). Large-Scale Agent-Based Pedestrian Simulation. In: Petta, P., Müller, J.P., Klusch, M., Georgeff, M. (eds) Multiagent System Technologies. MATES 2007. Lecture Notes in Computer Science(), vol 4687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74949-3_13
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DOI: https://doi.org/10.1007/978-3-540-74949-3_13
Publisher Name: Springer, Berlin, Heidelberg
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