Short Term Traffic Prediction Models

Short-term prediction of traffic conditions is one of the central topics in contemporary ITS research and practice. However, it is hard to select the most appropriate traffic prediction method for one particular application. The aim of this study is to provide taxonomy of all different approaches reported in literature as a practical reference for ITS professionals and researchers. It is concluded that apart from traffic simulation models only few methods are used for network wide predictions, while this is necessary for most practical applications (e.g. in-car navigation). Second, there appears to be no single best method. It is suggested that instead of developing more methods future research should focus on combining models into one network-wide application. For the covering abstract see ITRD E140665.

• Authors:
  • VAN HINSBERGEN, C P
  • VAN LINT, J W
  • SANDERS, F M
• Publication Date: 2007

Language

• English

Media Info

• Serial:
  • PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007
  • Publisher: ITS America

Subject/Index Terms

• TRT Terms: Conferences; Forecasting; Improvements; Intelligent transportation systems; Mathematical models; Public participation; Simulation; State of the art reports; Traffic flow
• Uncontrolled Terms: Road networks
• Subject Areas: Operations and Traffic Management; Society; I71: Traffic Theory; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01155227
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Apr 23 2010 10:58AM