Motorway travel time prediction based on toll data and weather effect integration IET
EL-FAOUZI ; BILLOT ; BOUZEBDA
Type de document
ARTICLE A COMITE DE LECTURE REPERTORIE DANS BDI (ACL)
Langue
anglais
Auteur
EL-FAOUZI ; BILLOT ; BOUZEBDA
Résumé / Abstract
This paper reports the main findings of the TPTEO project aiming 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 innovative characteristics of this project is the use of toll collection data (TCD) to derive speed and travel time estimation and prediction. This data source is becoming more and more available on motorway facilities and provides an efficient way not only to estimate and predict travel time but also to achieve the OD matrices elaboration and exhibit trends in traffic. Based on the previous studies on weather effect quantification, the prediction algorithm is designed to account for the weather impact during the prediction process. The resulting tool is considered to be accurate enough and paves the way for developing weather responsive advanced traffic management and information systems.
Source
IET Intelligent Transport Systems, num. 4, p338-345 p.
Editeur
Institution of Engineering and Technology
