A Statistical Framework for Road Traffic Prediction
Élie Maza, Jean–Michel Loubes, Fabrice Gamboa, Philippe Goudal, Guillaume Allain · 16th ITS World Congress and Exhibition on Intelligent Transport Systems and ServicesITS AmericaERTICOITS Japan · 2009
The subject of this article is the prediction of traffic mean speeds on a road network in order to enhance live traffic information available to users. The approach in this work relies on the hypothesis that traffic dynamics can be summarized by two components: a deterministic and periodical trend and a short term component linked to the physics of traffic. The article will use statistical methods built upon historical databases in order to propose automatable, modular and efficient methods which also meet the industrial constraints currently faced.