A Statistical Framework for Road Traffic Prediction Maza, Elie ; Loubes, Jean-Michel ; Gamboa, Fabrice ; Goudal, Philippe ; Allain, Guillaume
Publication details: Bryssel ITS in daily life: 16th world congress and exhibition on intelligent transport systems and services, Stockholm 21-25 September 2009. Paper, 2009Description: 7 sSubject(s): Bibl.nr: VTI P1835:16 [World]Location: Abstract: 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.| Current library | Status | |
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| Statens väg- och transportforskningsinstitut | Available |
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.