IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-11440-4_4.html
   My bibliography  Save this book chapter

Static Traffic Assignment on Ensembles of Synthetic Road Networks

In: Traffic and Granular Flow '17

Author

Listed:
  • Alonso Espinosa Mireles de Villafranca

    (University of Bristol)

  • Richard D. Connors

    (University of Leeds)

  • R. Eddie Wilson

    (University of Bristol)

Abstract

We present a systematic approach for studying how performance of road networks is affected by changes in their geometry. We develop a new family of random planar graphs that models road networks and interpolates between a square grid and the β-skeleton of uniformly random points. The capacities of streets are set according to a rule that models a fixed provision of total resources. Ensembles of graphs are generated for different geometric parameter choices and the static traffic assignment problem is solved for a range of traffic demands. We find that variations in network efficiency, measured by the price of anarchy, are small both across demand values and geometric parameters. However, the best-performing networks are those which preserve some grid structure. We find that the price of anarchy does not correlate well with standard network statistics.

Suggested Citation

  • Alonso Espinosa Mireles de Villafranca & Richard D. Connors & R. Eddie Wilson, 2019. "Static Traffic Assignment on Ensembles of Synthetic Road Networks," Springer Books, in: Samer H. Hamdar (ed.), Traffic and Granular Flow '17, pages 29-36, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-11440-4_4
    DOI: 10.1007/978-3-030-11440-4_4
    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

    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:978-3-030-11440-4_4. 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.