Oppilatio: The Forecast of Crowd Congestions on Street Networks During Public Events

Daniel H. Biedermann (), Peter M. Kielar () and André Borrmann ()
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Daniel H. Biedermann: Technische Universität München
Peter M. Kielar: Technische Universität München
André Borrmann: Technische Universität München

A chapter in Traffic and Granular Flow '15, 2016, pp 321-328 from Springer

Abstract: Abstract At manyBiedermann, Daniel H. events, the arrivalKielar, Peter M. of visitors dependsBorrmann, André mainly on public transport services. On such occasions, people walk from the station or bus stop to the event site. This can lead to crowd congestions since the visitors arrive in large numbers according to the schedules of the public transport services. Unfortunately, organisers of such events have very limited information about the arrival behaviour of their visitors. Normally, they only know the number of incoming visitors on the event site and the timetable of the public transport service. It is difficult to perform crowd management successfully with so little data. Oppilatio uses this limited data to determine the most likely routing paths of incoming visitors. This allows an early recognition of potential crowd congestions on the access routes and therefore the initiation of countermeasures.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-33482-0_41

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DOI: 10.1007/978-3-319-33482-0_41

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