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A case study on cooperative car data for traffic state estimation in an urban network

Author
Lídia Montero; Pacheco, M.; Barcelo, J.; Homoceau, S.; Casanovas, J.
Type of activity
Presentation of work at congresses
Name of edition
95th Annual Meeting Final Program
Date of publication
2016
Presentation's date
2016-01-11
Book of congress proceedings
TRB 95th Annual Meeting Final Program
First page
1
Last page
17
Project funding
Robustness, recoverability and adaptability of public transport systems
Repository
http://hdl.handle.net/2117/91176 Open in new window
Abstract
The use of Floating Car Data (FCD) as a particular case of Probe Vehicle Data (PVD) has been the object of extensive research for estimating traffic conditions, travel times and Origin to Destination trip matrices. It is based on data collected from a GPS-equipped vehicle fleet or available cell phones. Cooperative Cars with vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication capabilities represent a step forward, as they also allow tracking vehicles surrounding the eq...
Citation
Lídia Montero, Pacheco, M., Barcelo, J., Homoceau, S., Casanovas, J. A case study on cooperative car data for traffic state estimation in an urban network. A: Transportation Research Board Annual Meeting. "TRB 95th Annual Meeting Final Program". Washington, D.C.: 2016, p. 1-17.
Keywords
Cooperative Car data, Lagrangian sensing, Probe vehicle, Simulation, Traffic Flow, Traffic State Estimation
Group of research
IMP - Information Modelling and Processing
inLab FIB

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