Flow and Density Estimation in Grenoble Using Real Data
نویسندگان
چکیده
This work 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 density estimation method is presented tested real traffic data. presents a study case applied to downtown city Grenoble in France, Lab networks (GTL-Ville), which an experimental platform real-time collection analysis
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ژورنال
عنوان ژورنال: Engineering proceedings
سال: 2021
ISSN: ['2673-4591']
DOI: https://doi.org/10.3390/engproc2021005043