IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-33482-0_2.html
   My bibliography  Save this book chapter

Advances in Measuring Pedestrians at Dutch Train Stations Using Bluetooth, WiFi and Infrared Technology

In: Traffic and Granular Flow '15

Author

Listed:
  • Jeroen van den Heuvel

    (Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning
    NS Stations (Netherlands Railways))

  • Danique Ton

    (NS Stations (Netherlands Railways))

  • Kim Hermansen

    (BLIP Systems)

Abstract

As of 2014, threeVan den Heuvel, Jeroen DutchTon, Danique trainHermansen, Kim stations have been equipped with automated pedestrian traffic sensors, as part of the SMART Station initiative of NS Stations. These stations are Utrecht Central station, Amsterdam Airport Schiphol train station and Leiden Central station. SMART Station consists of hybrid Bluetooth/WiFi sensors for tracking and infrared sensors for counting. Combining data from both sensor types results in useful insights into the pedestrian dynamics. In this paper, four SMART Station cases are presented. Firstly, an estimation of escalator capacity will be presented. Secondly, we will show the temporal and spatial flow characteristics of a very large bike parking facility. Thirdly, the use of train stations by non-train passengers will be explored. Fourthly and finally, the occupancy of a station hall will be explored.

Suggested Citation

  • Jeroen van den Heuvel & Danique Ton & Kim Hermansen, 2016. "Advances in Measuring Pedestrians at Dutch Train Stations Using Bluetooth, WiFi and Infrared Technology," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 11-18, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-33482-0_2
    DOI: 10.1007/978-3-319-33482-0_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-33482-0_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.