Spatio-Temporal Search Algorithm and Weather Impact Integration for Travel Time Prediction Based on Motorway Toll Data

This paper reports results of the French regional project (TPTEO), which is aimed at developing and implementing a route planner tool and travel time prediction system on the Rhone Alps motorway network managed by the AREA Company. One of the main specificity of this project is the use of toll collection data (TCD) to derive speed and travel time. This data source is becoming more and more available on motorway facilities in real time. It provides an efficient way not only to estimate and predict travel time but also to deal with origin and destination (OD) matrices and find trends in traffic. Based on the previous analyses on weather effect quantification, the prediction algorithm is designed to account for the weather impact. The promising results pave the way for developing weather responsive advanced traffic management and road traffic information systems.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Maps; References; Tables;
  • Pagination: 11p
  • Monograph Title: ITS in Daily Life

Subject/Index Terms

Filing Info

  • Accession Number: 01148199
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jan 10 2010 2:32PM