Passenger Dynamics at Airport Terminal Environment

  • Michael SchultzEmail author
  • Christian Schulz
  • Hartmut Fricke
Conference paper


We report on a specific calibration for an individual-based simulation environment. For this purpose field data of traveling people inside an airport terminal was recorded. The advantage of using video surveillance system is the granting unbiased gathering of person behavior. The presented results are derived from an observed area of 10×30 m area between the check-in facilities and the security control at the Dresden International Airport. By means of statistical analyses a significant difference in behavior between business and leisure related passenger groups was resolved. The influence of carry-on baggage after the check-in procedure is very small and remaining trolley bags do not affect the maximum speed of passengers. In contrast, the size of a passenger group has a significant influence on walking speed, whereas large groups tend to diverge into smaller groups with 2–3 members.


Transportation Research Motion Behavior Security Control Video Surveillance System Terminal Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    H. Klüpfel and T. Meyer-König. Modelle für die Berechnung von Personenströmen und Evakuierungssimulationen. VdS-Fachtagung Evakuierung und Räumung von Gebäuden, 2005. Google Scholar
  2. 2.
    A. Kirchner, H. Klüpfel, K. Nishinari, A. Schadschneider, and M. Schreckenberg. Simulation of competitive egress behavior. Physica A, 324:689–697, 2002. CrossRefGoogle Scholar
  3. 3.
    D. Helbing, I. Farkas, and T. Viscek. Simulating dynamical features of escape panic. Nature, 407:487–490, 2000. CrossRefGoogle Scholar
  4. 4.
    H. Klüpfel. The simulation of crowds at very large events. A. Schadschneider, R. Kühne, T. Pöschel, M. Schreckenberg, and D.E. Wolf, editors, Traffic and Granular Flow ’05, 2006. Google Scholar
  5. 5.
    J.J. Fruin. Pedestrian Planning and Design. Metropolitan Association of Urban Designers and Environmental Planners, New York, 1971. Google Scholar
  6. 6.
    D. Helbing. A mathematical model for the behavior of pedestrians. Behavioral Science, 36:298–310, 1991. CrossRefGoogle Scholar
  7. 7.
    D. Helbing, L. Buzna, A. Johansson, and T. Werner. Self-organized pedestrian crowd dynamics: Experiments, simulations, and design solutions. Transportation Science, 39:1–24, 2005. CrossRefGoogle Scholar
  8. 8.
    D. Helbing and P. Molnar. Social force model for pedestrian dynamics. Physical Review E, 51:4282–4287, 1995. CrossRefGoogle Scholar
  9. 9.
    N. Ashford, N. Hawkins, M. O’Leary, D. Bennetts, and P.M. Ginity. Passenger behavior and the design of airport terminals. Transportation Research Board Record, No. 588, 1976. Google Scholar
  10. 10.
    S.P. Hoogendoorn and P.H.L Bovy. Pedestrian route-choice and activity scheduling theory and models. Transportation Research Board, 2003. Google Scholar
  11. 11.
    S. Theiss. Passagierflusssimulationssysteme—Bestandsaufnahme im Hinblick auf innovative Abfertigungskonzepte und Notfallmanagement. Technische Universität Dresden, 2003. Google Scholar
  12. 12.
    M. Schultz, S. Lehmann, and H. Fricke. Development of a computer-aided model for reliable terminal evacuation simulation—a statistical approach to handle unpredictable passenger behavior. ICRAT, Zilina, 2004. Google Scholar
  13. 13.
    M. Schultz, S. Lehmann, and H. Fricke. A discrete microscopic model for pedestrian dynamics to manage emergency situations in airport terminals. Pedestrian and Evacuation Dynamics 2005, Wien, 2005. Google Scholar
  14. 14.
    M. Schultz, A. Wachtel, and H. Fricke. Standardized concept for passenger guidance systems at aerodromes. CEAS, Berlin, 2007. Google Scholar
  15. 15.
    A.T. Kearney. Airport cities—Marktplätze des 21. Jahrhunderts, 2006. Google Scholar
  16. 16.
    C.I. Hsu and C.C. Chao. Space allocation for commercial activities at international passenger terminals. Transportation Research E, 41:29–51, 2005. CrossRefGoogle Scholar
  17. 17.
    N. Martel and P.N. Seneviratne. Analysis of factors influencing quality of service in passenger terminal buildings. Transportation Research (No. 1273): Airport Terminal and Landside Design and Operation, Publication of the Transportation Research Board, Washington, DC, 1990. Google Scholar
  18. 18.
    A.R. Correia and C. Wirasinghe. Development of level of service standards for airport facilities. Journal of Air Transport Management, 2006. Google Scholar
  19. 19.
    P. Wenzel. Fußgänger-Leitsysteme—Planung von Leitsystemen in Fußgänger-Verkehrsanlagen am Beispiel von Fluggastempfangsgebäuden. PhD Thesis, Stuttgart, 1999. Google Scholar
  20. 20.
    C. Schulz. Entwicklung eines Eclipse-basierten Animations-Werkzeugs für virtuelle Menschengruppen. Hochschule für Technik und Wirtschaft Dresden, 2008. Google Scholar
  21. 21.
    U. Weidmann. Transporttechnik der Fußgänger. Zurich, 1992. Google Scholar
  22. 22.
    S. Spranger. Problemorientierte Analyse des Check-In-Prozesses am Beispiel des Flughafen Stuttgart. Technische Universität Dresden, 2008. Google Scholar
  23. 23.
    T. Blumhagen. Implementierung eines Systems zur video-gestützten Personenverfolgung. Hochschule für Technik und Wirtschaft Dresden, 2008. Google Scholar
  24. 24.
    10th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance. University of Reading, 2007. Google Scholar
  25. 25.
    M. Andriluka, S. Roth, and B. Schiele. People-tracking-by-detection and people-detection-by-tracking. Technische Universität Darmstadt, 2008. Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Michael Schultz
    • 1
    Email author
  • Christian Schulz
    • 1
  • Hartmut Fricke
    • 1
  1. 1.Air Transport Technology and LogisticsTechnische Universität DresdenDresdenGermany

Personalised recommendations