Highway traffic model-based density estimation

Irinel - Constantin Morarescu 1 Carlos Canudas de Wit 1
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
Abstract : The travel time spent in traffic networks is one of the main concerns of the societies in developed countries. A major requirement for providing traffic control and services is the continuous prediction, for several minutes into the future. This paper focuses on an important ingredient necessary for the traffic forecasting which is the real-time traffic state estimation using only a limited amount of data. Simulation results illustrate the performances of the proposed state-estimation technique.
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Irinel - Constantin Morarescu, Carlos Canudas de Wit. Highway traffic model-based density estimation. American Control Conference (ACC 2011), Jun 2011, San Francisco, Californie, United States. pp.S/N. ⟨hal-00581801⟩

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