Using Key Performance Indicators for Traffic Management and Intelligent Transport Systems as a Prediction Tool

In recent research work (FP7 CONDUITS) a performance evaluation framework for traffic management and Intelligent Transport Systems was developed. The new framework consists of a set of Key Performance Indicators (KPIs) for the strategic themes of traffic efficiency, safety, pollution reduction and social inclusion, and the last stages of the project saw its validation through its application to four case studies. Following up from this work, this paper presents the extension of the framework for use as a prediction tool enabling urban transport authorities to assess the impacts of relevant policies and technologies before implementing them. Focussing on pollution reduction, a tool (CONDUITS-DST) integrating the respective KPIs with microsimulation modelling is developed. The paper describes the integration process, including the model chosen for calculating the emissions levels of a number of scenarios, presents the results of the application to a case study in the city of Brussels, and outlines future developments targeted at broadening the integration of the KPIs into decision-making

  • 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:
    • Eden, N
    • Tsakarestos, A
    • Kaparias, I
    • Gal-Tzur, A
    • Schmitz, P
    • Hauptmann, S
    • Hoadley, S
  • Conference:
  • Publication Date: 2012

Language

  • English

Media Info

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

Subject/Index Terms

Filing Info

  • Accession Number: 01496281
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 24 2013 3:38PM