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Communication Dans Un Congrès Année : 2021

Urban network traffic state estimation using a data-based approach

Résumé

In this paper we propose an estimator of vehicle density in every road section of a large urban traffic network. We assume a limited number of flow and turning ratio sensors can be installed, and that aggregate floating car data (FCD) is available, such that the space-mean speed of each road can be estimated. We propose a method to locate turning ratio sensors, which takes as input previous low-quality estimates of the turn rates, and then assigns to each intersection a weight according to the effect on the total density reconstruction error caused by perturbations between a priori and actual turning ratio values. We evaluate the models and estimator using data from the urban traffic network of Grenoble in France.
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Dates et versions

hal-03171255 , version 1 (16-03-2021)

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Martin Rodriguez-Vega, Carlos Canudas de Wit, Hassen Fourati. Urban network traffic state estimation using a data-based approach. CTS 2021 - 16th IFAC Symposium on Control in Transportation Systems, Jun 2021, Lille (virtual), France. pp.1 - 7, ⟨10.1016/j.ifacol.2021.06.033⟩. ⟨hal-03171255⟩
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