Fast parametric estimation for macroscopic traffic flow model

Hassane Abouaissa; Michel Fliess; Cédric Join

inria-00259032, version 1

Fast parametric estimation for macroscopic traffic flow model

Hassane Abouaissa ¹, Michel Fliess () ^2, 3, Cédric Join ^3, 4

17th IFAC World Congress (2008)

Résumé : The main traffic parameters such as the critical density and the free flow speed of a motorway segments are subject to changes over time due to traffic conditions (traffic composition, incidents, . . . ) and environmental factors (dense fog, strong wind, snow, . . . ). As such parameters have an impact on the performance of the traffic control strategies, they must be estimated on-line. Our approach, which is of algebraic flavor and avoids asymptotic and statistical techniques, yields fast implementable formulae in closed form. Some convincing computer simulations are provided.

1 : Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A)
Université d'Artois : EA3929
2 : Laboratoire d'informatique de l'école polytechnique (LIX)
CNRS : UMR7161 – Polytechnique - X
3 : ALIEN (INRIA Saclay - Ile de France/Inria Lille - Nord Europe)
INRIA – Polytechnique - X – Ecole Centrale de Lille – CNRS : UMR8146
4 : Centre de recherche en automatique de Nancy (CRAN)
CNRS : UMR7039 – Université Henri Poincaré - Nancy I – Institut National Polytechnique de Lorraine (INPL)

inria-00259032, version 1
http://hal.inria.fr/inria-00259032
oai:hal.inria.fr:inria-00259032
Contributeur : Michel Fliess <>
Soumis le : Mardi 26 Février 2008, 14:25:39
Dernière modification le : Mardi 29 Juin 2010, 09:52:54

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