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Case study on cooperative car data for estimating traffic states in an urban network

Autor
Lídia Montero; Pacheco, M.; Barcelo, J.; Homoceanu, S.; Casanovas, J.
Tipus d'activitat
Article en revista
Revista
Transportation research record
Data de publicació
2016-10-01
Número
2594
Pàgina inicial
127
Pàgina final
137
DOI
https://doi.org/10.3141/2594-16 Obrir en finestra nova
Projecte finançador
Connected Car Barcelona Simulative Evaluation
Modelització i Processament de la Informació (MPI)
Robustez, recuperación y adaptabilidad de sistemas de transporte público
Repositori
http://hdl.handle.net/2117/104399 Obrir en finestra nova
URL
http://trrjournalonline.trb.org/doi/abs/10.3141/2594-16 Obrir en finestra nova
Resum
The use of floating car data as a particular case of probe vehicle data 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 and vehicle-to-infrastructure communication capabilities represent a step forward, as they also allow tracking of vehicles surrounding the equipped car. This paper p...
Paraules clau
Probe Vehicle, Lagrangian Sensing, Traffic Flow, Simulation, Traffic State Estimation, Cooperative Car Data
Grup de recerca
MPI - Modelització i Processament de la Informació

Participants