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Estimation du temps de parcours d’un réseau urbain par fusion de données de boucles magnétiques et de véhicules traceurs : Une approche stochastique avec mise en oeuvre d’un filtre de Kalman sans parfum

Abstract : Travel time information is easy to be perceived by users and has the potential to reduce congestion on both temporal and spatial scales thanks to traveller assistance systems. This thesis addresses the problem of estimating the travel time in city, where traffic is characterized by variable flow and also significant perturbation from/to mid-link source/sink that are not equipped with traffic sensors. This flow disturbs the equation of conservation of vehicles. The bibliography contains deterministic and stochastic approaches, using, in specific experimental situations, either inductive loops or probe vehicles, or both. We propose a stochastic approach based on unscented Kalman filtering. Its dynamic model is based on the classical analytical procedure that considers the time difference between the total of incoming and outgoing vehicles for each segment of the network. The formulation of this model is not explicit, which justifies the use of an unscented filter. The observations are both loop counters at the exit sections and probe vehicles map-matched to the network. The algorithm is applicable in real time, without prior information on the percentage of turning movements at intersections, and under any condition of perturbation. The variance estimation output by the filter measures the confidence in the estimated travel time and allows the rejection of outliers. The validation was shown based on simulations on a simple network with three intersections, variable entering flows, variable percentage of perturbation, and a variable percentage of probe vehicles.
Keywords : TRAFIC ROUTIER
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Ré-Mi Hage. Estimation du temps de parcours d’un réseau urbain par fusion de données de boucles magnétiques et de véhicules traceurs : Une approche stochastique avec mise en oeuvre d’un filtre de Kalman sans parfum. Traitement du signal et de l'image [eess.SP]. Université de Nantes, 2012. Français. ⟨tel-00919589⟩

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