Level of Service (LOS) Based Data Fusion to Enhance the Quality of Traffic Information

Today, the road side level of service (LOS) information is a commonly used measure for describing the current road network efficiency. It characterizes traffic flow or travel times by a small number of discrete traffic quality classes (e.g. free flow, dense traffic, traffic jam) and is one of the most popular kinds of traffic information in road transportation. In this context, LOS-based information is often obtained from single traffic data sources like floating car data or detector data without combining them systematically. In order to improve the quality of LOS-based traffic information a high level fusion approach is needed which integrates LOS data from various data sources. This contribution suggests a new methodology using a quality-weighted median approach to efficiently and generically fuse these LOS data. It principally handles the common discretization schemes and provides a stochastic algorithm for transforming LOS data of arbitrary scales. The new methodology is described together with a use case for a region in Germany and the technical description of the prototypical LOS data fusion software module as designed and implemented by the Institute of Transportation Systems of the German Aerospace Center (DLR).

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Tcheumadjeu, Louis Calvin Touko
    • Neumann, Thorsten
    • Brockfeld, Elmar
  • Conference:
  • Publication Date: 2012


  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Maps; References; Tables;
  • Pagination: 11p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01493994
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 4 2013 11:47AM