Improvements in Traffic Management by using a Control Algorithm based on the Probability of Breakdown

Capacity is one of the relevant values to describe traffic flow on freeway segments. It depends on various conditions such as roadway, traffic, environment and control conditions. In the past, capacity was defined as a deterministic value for given base conditions. Newer research studies, however, prove that capacity has to be interpreted as a stochastically distributed value. The more the traffic flow increases the higher the risk of traffic breakdowns. These characteristics can be used in traffic management applications. An algorithm was developed which is able to anticipate traffic breakdowns and this way allows a preventive control of the traffic flow. In order to deploy the control algorithm into a superior traffic management system, the fundamental evaluation methods were introduced. The designed methods validate the algorithm’s core operation and additionally assess the quality aspects regarding the particular traffic management tasks. The initial results based on the data from Austrian freeways showed that the developed traffic breakdown prediction approach can be successfully employed as a traffic management strategy for predicting capacity events.

  • 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:
    • Schwietering, Christoph
    • Plevka, Vaclav
    • Gergely, Martin
  • Conference:
  • Publication Date: 2012


  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; References; Tables;
  • Pagination: 8p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01497351
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 30 2013 1:10PM