EVENT-BASED SHORT-TERM TRAFFIC FLOW PREDICTION MODEL

The problem of predicting traffic flow for the purpose of real-time traffic-adaptive signal control in an urban street network is explored. A prediction model is described that combines data from traditional vehicle loop detectors and known relationships from traffic flow theory. The model is demonstrated using a microscopic traffic simulation model. Results of the simulation demonstrate that the model can provide the information required to develop truly proactive real-time traffic-adaptive signal control.

Language

  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 45-52
  • Monograph Title: Traffic flow theory and characteristics with applications for intelligent transportation system technologies
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00715624
  • Record Type: Publication
  • ISBN: 0309062039
  • Files: TRIS, TRB
  • Created Date: Jan 19 1996 12:00AM