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An approach to use cooperative car data in dynamic OD matrix estimation

Autor
Lídia Montero; Barcelo, J.
Tipus d'activitat
Document cientificotècnic
Data
2015-10
Projecte finançador
Modelitzaci¿ i Processament de la Informaci¿ (MPI)
Robustez, recuperaci¿n y adaptabilidad de sistemas de transporte p¿blico
Repositori
http://hdl.handle.net/2117/87124 Obrir en finestra nova
Resum
Traffic management applications are supported by dynamic models whose input should be realistic real-time OD demand matrices in order to find efficient network state estimates and fore-cast their short-term evolution. OD matrices have been so far usually estimated from historic and/or real-time data collection and prior matrices. Some of those methods developed by the authors in pre-vious works provide realistic matrices to cope with day-to-day demand variability and real-time traffic conditions...
Citació
Lídia Montero, Barcelo, J. "An approach to use cooperative car data in dynamic OD matrix estimation". 2015.
Paraules clau
Demand Estimation, Information Systems, Advanced Transport Information Systems, Kalman Filtering, Cooperative Car Data
Grup de recerca
MPI - Modelització i Processament de la Informació

Participants

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