Abstract
Pedestrian stream simulations serve to predict the flow of a crowd. Applications range from planning safer buildings, performing risk analysis for public events to evaluating the clever placement of advertisement. The usability of a simulator depends on how well it reproduces real behavior. Unfortunately very little data from live scenarios has been available so far to compare simulations to. Calibration attempts have relied on literature values or, at best, laboratory measurements. This paper is based on live video observations at a major German railway station. We present a methodological approach to extract key data from the videos so that calibration of the simulation tool against live video observations becomes possible. The success of the approach is demonstrated by reproducing the real scenario in a benchmark simulator and comparing the simulation with the live video observations.
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Davidich, M., Köster, G. (2013). A Methodological Approach to Adjustment of Pedestrian Simulations to Live Scenarios: Example of a German Railway Station. In: Kozlov, V., Buslaev, A., Bugaev, A., Yashina, M., Schadschneider, A., Schreckenberg, M. (eds) Traffic and Granular Flow '11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39669-4_16
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DOI: https://doi.org/10.1007/978-3-642-39669-4_16
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