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

Author
Lídia Montero; Barcelo, J.
Type of activity
Report
Date
2015-10
Project funding
Modelització i Processament de la Informació (MPI)
Robustness, recoverability and adaptability of public transport systems
Repository
http://hdl.handle.net/2117/87124 Open in new window
Abstract
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...
Citation
Lídia Montero, Barcelo, J. "An approach to use cooperative car data in dynamic OD matrix estimation". 2015.
Keywords
Advanced Transport Information Systems, Cooperative car data, Demand Estimation, Information Systems, Kalman Filtering
Group of research
IMP - Information Modelling and Processing
inLab FIB

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