IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-33482-0_62.html
   My bibliography  Save this book chapter

Traffic Simulations with Empirical Data: How to Replace Missing Traffic Flows?

In: Traffic and Granular Flow '15

Author

Listed:
  • Lars Habel

    (Universität Duisburg-Essen, Physik von Transport und Verkehr)

  • Alejandro Molina

    (Technische Universität Dortmund, Fakultät für Informatik)

  • Thomas Zaksek

    (Universität Duisburg-Essen, Physik von Transport und Verkehr)

  • Kristian Kersting

    (Technische Universität Dortmund, Fakultät für Informatik)

  • Michael Schreckenberg

    (Universität Duisburg-Essen, Physik von Transport und Verkehr)

Abstract

ForHabel, Lars the real-timeMolina, Alejandro microscopic simulationZaksek, Thomas of traffic onKersting, Kristian a real-worldSchreckenberg, Michael road network, a continuous input stream of empirical data from different locations is usually needed to achieve good results. Traffic flows for example are needed to properly simulate the influence of slip roads and motorway exits. However, quality and reliability of empirical traffic data is sometimes a problem for example because of damaged detectors, transmission errors or simply lane diversions at road works. In this contribution, we attempt to close those data gaps of missing traffic flows with processed historical traffic data. Therefore, we compare a temporal approach based on exponential smoothing with a data-driven approach based on Poisson Dependency Networks.

Suggested Citation

  • Lars Habel & Alejandro Molina & Thomas Zaksek & Kristian Kersting & Michael Schreckenberg, 2016. "Traffic Simulations with Empirical Data: How to Replace Missing Traffic Flows?," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 491-498, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_62
    DOI: 10.1007/978-3-319-33482-0_62
    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_62. 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.