Advertisement

An Application of New Pedestrian Tracking Sensors for Evaluating Platform Safety Risks at Swiss and Dutch Train Stations

  • Jeroen van den HeuvelEmail author
  • Jasmin Thurau
  • Martin Mendelin
  • Rik Schakenbos
  • Marcel van Ofwegen
  • Serge P. Hoogendoorn
Conference paper

Abstract

Due to rapid rail passenger growth in the last years, crowding challenges have risen at several stations in Switzerland and The Netherlands. Particularly at platforms, safety risks can increase when a station is operated near or at pedestrian capacity. Therefore, Swiss and Dutch station managers started several initiatives to measure crowding-related safety risks. Recently, pedestrian measurement technology has improved substantially. New technology is capable of anonymously tracking individual pedestrians within a predefined area under high intensity conditions. This technology has not been implemented at train stations before. Therefore the Swiss and Dutch station managers have developed and applied a methodology to determine the validity of the data which are generated by the newest generation of pedestrian measurement systems at the stations of Bern (CH), Amsterdam Zuid, and Utrecht Centraal (NL). This paper presents the results of the tests in both countries and their (first) implications for science and practice.

Notes

Acknowledgements

For this study, ASE has applied its self-developed stitching algorithm to a subset of the Amsterdam Zuid (NL) data. The authors express their gratitude for this support. At the same time, they explicitly state that ASE has not been involved in any way in the design and execution of the experiments and the data quality assessment.

References

  1. 1.
    Boltes, M., Seyfried, A., Steffen, B., Schadschneider, A.: Automatic extraction of pedestrian trajectories from video recordings. Pedestrian Evacuation Dyn. 2008 pp. 43–54 (2010)Google Scholar
  2. 2.
    Chambers, J., Hastie, T.: Statistical Models in S. Taylor & Francis, Boca Raton (1991)zbMATHGoogle Scholar
  3. 3.
    Daamen, W.: Modelling passenger flows in public transport facilities. Ph.D. thesis, TRAIL Research School The Netherlands (2004)Google Scholar
  4. 4.
    Daamen, W., van den Heuvel, J., Ton, D., Hoogendoorn, S.: Using Bluetooth and WiFi to unravel real-world slow mode activity travel behaviour. In: Fourteenth International Conference on Travel Behaviour Research (2015)Google Scholar
  5. 5.
    Thurau, J., van den Heuvel, J., van Ofwegen, M., Keusen, N., Hoogendoorn, S.: Influence of pedestrian density on the use of the danger zone at platforms of train stations. In: Traffic and Granular Flow 2017, Washington DC (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jeroen van den Heuvel
    • 1
    • 2
    Email author
  • Jasmin Thurau
    • 3
  • Martin Mendelin
    • 3
  • Rik Schakenbos
    • 2
  • Marcel van Ofwegen
    • 4
  • Serge P. Hoogendoorn
    • 5
  1. 1.Department of Transport and Planning, Faculty of Civil Engineering and GeosciencesDelft University of TechnologyDelftThe Netherlands
  2. 2.NS Stations, Netherlands Railways (NS)UtrechtThe Netherlands
  3. 3.Swiss Federal Railways AG (SBB)BernSwitzerland
  4. 4.ProRailUtrechtThe Netherlands
  5. 5.Delft University of TechnologyDelftThe Netherlands

Personalised recommendations