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Communication Dans Un Congrès Année : 2008

Fast parametric estimation for macroscopic traffic flow model

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.
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Dates et versions

inria-00259032 , version 1 (26-02-2008)

Identifiants

  • HAL Id : inria-00259032 , version 1

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Hassane Abouaïssa, Michel Fliess, Cédric Join. Fast parametric estimation for macroscopic traffic flow model. 17th IFAC World Congress, 2008, Seoul, South Korea. ⟨inria-00259032⟩
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