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Simulation-Based Forecasts of Crowd Flows at Major Events Using Real-Time Measurements

In: Traffic and Granular Flow '15

Author

Listed:
  • Thomas Matyus

    (AIT Austrian Institute of Technology, Mobility Department)

  • Stefan Seer

    (AIT Austrian Institute of Technology, Mobility Department)

  • Helmut Schrom-Feiertag

    (AIT Austrian Institute of Technology, Mobility Department)

Abstract

The complexityMatyus, Thomas and dynamic nature of largeSeer, Stefan events ariseSchrom-Feiertag, Helmut the need for decision makers to assess the current situation and to derive multi-temporal forecasts in order to identify critical situations in a timely manner and to initiate appropriate countermeasures. In this work, we present a fast mesoscopic simulation model which incorporates measurements from counting and Bluetooth sensors, thus providing real-time forecasts of crowd flows at major events. With this approach already a sparse placement of sensors at strategic points on an event area is sufficient to achieve the necessary spatial and temporal resolution for a complete characterization of the current crowd flows. For model verification and validation, we investigated case studies from two music festivals in Austria in 2012 and 2013 where extensive measurements on human motion data were obtained to evaluate the deviations of the simulation results from the measured walking times.

Suggested Citation

  • Thomas Matyus & Stefan Seer & Helmut Schrom-Feiertag, 2016. "Simulation-Based Forecasts of Crowd Flows at Major Events Using Real-Time Measurements," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 329-336, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_42
    DOI: 10.1007/978-3-319-33482-0_42
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