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Fast parametric estimation for macroscopic traffic flow model

Abstract : 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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https://hal.inria.fr/inria-00259032
Contributor : Michel Fliess <>
Submitted on : Tuesday, February 26, 2008 - 2:25:39 PM
Last modification on : Tuesday, November 24, 2020 - 2:18:20 PM
Long-term archiving on: : Thursday, May 20, 2010 - 11:37:18 PM

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  • 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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