<abstract xmlns="http://www.w3.org/1999/xhtml"><p>An estimation approach that allows recovering of the traffic state is proposed in this paper. The method used is based on numerical differentiation, which does not need any integration of differential equations and turns out to be quite robust with respect to perturbations and measurements noises. Numerical simulations, carried-out by using the so-called Cell Transmission Model (CTM) demonstrate the relevance of the proposed on-line estimation scheme.</p></abstract>

An estimation approach that allows recovering of the traffic state is proposed in this paper. The method used is based on numerical differentiation, which does not need any integration of differential equations and turns out to be quite robust with respect to perturbations and measurements noises. Numerical simulations, carried-out by using the so-called Cell Transmission Model (CTM) demonstrate the relevance of the proposed on-line estimation scheme.

Algebraic Methods for Traffic Flow Densities Estimation

Université Lille Nord France, F-59000 Lille, France U-Artois, LGI2A, (EA. 3926) Technoparc Futura, F-62400 Béthune, France

CETE Nord-Picardie, Département Transport Mobilités Groupe Systèmes de Transport, 2 rue de Bruxelles, BP 275, 59019 Lille, France

Cybernetics and Information Technologies

{"article-title":"Algebraic Methods for Traffic Flow Densities Estimation"}

An estimation approach that allows recovering of the traffic state is proposed in this paper. The method used is based on numerical differentiation, which does...

Algebraic Methods for Traffic Flow Densities Estimation

Publié en ligne: 31 déc. 2013

Pages: 5 - 17

DOI: https://doi.org/10.2478/cait-2013-0049

This content is open access.