Vés al contingut (premeu Retorn)

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

Lídia Montero; Pacheco, M.; Barcelo, J.; Homoceau, S.; Casanovas, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
95th Annual Meeting Final Program
Any de l'edició
Data de presentació
Llibre d'actes
TRB 95th Annual Meeting Final Program
Pàgina inicial
Pàgina final
Projecte finançador
Robustez, recuperación y adaptabilidad de sistemas de transporte público
Repositori Obrir en finestra nova
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...
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.
Paraules clau
Cooperative Car data, Lagrangian sensing, Probe vehicle, Simulation, Traffic Flow, Traffic State Estimation
Grup de recerca
IMP - Information Modeling and Processing