Flow and density estimation in Grenoble using real data

Martin Rodriguez-Vega (1) , Carlos Canudas de Wit (1) , Hassen Fourati (1)

1 DANCE - Dynamics and Control of Networks

This works deals with the Traffic State Estimation (TSE) problem for urban networks, using heterogeneous sources of data such as stationary flow sensors, Floating Car Data (FCD), and Automatic Vehicle Identifiers (AVI). A data-based flow and density estimation method is presented and tested using real traffic data. This work presents a study case applied to the downtown of the city of Grenoble in France, using the Grenoble Traffic Lab for urban networks (GTL-Ville) which is an experimental platform for real-time collection and analysis of traffic data.

Mots clés: Traffic State Estimation; Large Urban Networks; Floating Car Data; Turning Ratios

Domaines: Optimisation et contrôle [math.OC]

Martin Rodriguez-Vega, Carlos Canudas de Wit, Hassen Fourati. Flow and density estimation in Grenoble using real data. ITISE 2021 - 7th International conference on Time Series and Forecasting, Jul 2021, Gran Canaria, Spain. pp.43, ⟨10.3390/engproc2021005043⟩. ⟨hal-03225207⟩