Automatic Validation for Crowd Simulation: Test Suite for a Pedestrian Simulator Based on Different Scenarios

  • Yayun Zhou
  • Wolfram Klein
  • Hermann Georg Mayer
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 579)


Evacuation simulation and especially the determination of evacuation times is a very complex task. Moreover the prognosis of place and time of critical bottlenecks within the building during the evacuation is critical due to complex building structures and the correct pedestrian behavior. Therefore, an extensive validation and calibration of the simulation algorithms is an indispensable requirement for every simulation tool. An automatic test suite for different scenarios will facilitate this task yielding in proven, automated and reproducible results. The microscopic pedestrian simulator tested in this paper is developed by our group. The tool can be used to guide the crowd evacuation and prepare respond plans for emergent situations as reference to city council and law enforcement agency. It is important that the simulation results reveal the true behavior of pedestrian; for certain precaution actions can be taken in order to guarantee the safety of the crowd.

In this paper, we documented the performance of our simulator tested with all 14 scenarios proposed by the RiMEA (Richtlinie fur Mikroskopische Entfluchtungs-Analysen) guideline. The test results show that our simulator passes all the tests. Moreover, our pedestrian simulator constantly improves its performance by cooperating with construction companies and government departments running on-site tests with first-hand data. Now it covers even emergency scenarios such as fire/smoke and floods.


  1. 1.
    Antonini, G., Bierlaire, M., Weber, M.: Discrete choice models of pedestrian walking behavior. Res. Part B: Methodol. 40, 667–687 (2006)CrossRefGoogle Scholar
  2. 2.
    Burstedde, C., Kaluck, K., Schadschneider, A., Zittartzl, A.: Simulation of pedestrian dynamics using a two dimensional cellular automation. Physica A: Stat. Mech. Appl. 295, 507–525 (2001)CrossRefGoogle Scholar
  3. 3.
    Davidich, M., Köster, G.: Towards automatic and robust adjustment of human behavioral parameters in a pedestrian stream model to measured data. Saf. Sci. 50, 1253–1260 (2012)CrossRefGoogle Scholar
  4. 4.
    Fruin, J.: Pedestrian planning and design. Metropolitan Association of Urban Designers and Environmental Planners (1971).
  5. 5.
    Gilg, A., Klein, W., Mayer, H., Witte, F.: Intelligent crowd control, the various use cases in public mass transit. In: International Conference on Railway Engineering (2014)Google Scholar
  6. 6.
    Hamacher, H., Tjandra, S.A.: Mathematical modelling of evacuation problems: a state of the art. Pedestrian and Evacuation Dynamics (2002)Google Scholar
  7. 7.
    Helbing, D.: A fluid-dynamic model for the movement of pedestrians. Complex Systems 6, 391–415 (1992)MathSciNetzbMATHGoogle Scholar
  8. 8.
    IMO: Guidelines of the international maritime organisation imo (2014).
  9. 9.
    Kneidl, A., Hartmann, D., Mayer, H., Borrmann, A.: A holistic multi-scale approach for simulation o pedestrian. In: Proceedings of the 6th International Conference on Pedestrian and Evacuation Dynamics (2012)Google Scholar
  10. 10.
    Köster, G., Hartmann, D., Klein, W.: Microscopic pedestrian simulations: from passenger exchange times to regional evacuation. In: Hu, B., Morasch, K., Pickl, S., Siegle, M. (eds.) Operations Research Proceedings, pp. 571–576. Springer, Heidelberg (2010)Google Scholar
  11. 11.
    Lämmel, G., Rieser, M., Nagel, K.: Large scale microscopic evacuation simulation. In: Klingsch, W.W.F., Rogsch, C., Schadschneider, A., Schreckenberg, M. (eds.) Pedestrian and Evacuation Dynamics, pp. 547–553. Springer, Heidelberg (2008)Google Scholar
  12. 12.
    Mayer, H., Klein, W., Frey, C., Daum, S., Kielar, P., Borrmann, A.: Pedestrian simulation based on bim data. In: 2014 ASHRAE/IBPSA-USA Building Simulation Conference (2014)Google Scholar
  13. 13.
    RiMEA e.V.: Rimea guidline on evacuation scenarios (2009).
  14. 14.
    Ronald, N., Sterling, L., Kirleyr, M.: An agent-based approach to modelling pedestrian behaviour. Int. J. Simul. Syst. Sci. Technol. 8(1), 25–38 (2007)Google Scholar
  15. 15.
    Weidmann, U.: Transporttechnik der fussgänger. Schriftenreihe des Institut für Verkehrsplanung, Transporttechnik, Strassen- und Eisenbahnbau 90 (1992)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Yayun Zhou
    • 1
  • Wolfram Klein
    • 1
  • Hermann Georg Mayer
    • 1
  1. 1.Siemens AG, Corporate Technology, CT RTC AUCMunichGermany

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