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

Author(s)
El Faouzi, N. Bouzebda, S. & Billot, R.
Year
Abstract

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 isbecoming more and more available on motorway facilities in real time. It provides an efficient way not only to estimate and predict travel time butalso to deal with origin and destination (OD) matrices and find trends intraffic. 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.

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Publication

Library number
C 47322 (In: C 46669 CD-ROM) /72 / ITRD E853047
Source

In: ITS in daily life : proceedings of the 16th World Congress on Intelligent Transport Systems (ITS), Stockholm, Sweden, September 21-25, 2009, 11 p.

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