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

Author
Barcelo, J.; Lídia Montero
Type of activity
Presentation of work at congresses
Name of edition
22nd ITS World Congress
Date of publication
2015
Presentation's date
2015-10
Book of congress proceedings
22nd World Congress and Exhibition on Intelligent Transport Systems and Services
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 previ-ous works provide realistic matrices to cope with day-to-day demand variability and real-time traffic conditions...
Keywords
Advanced Transport Information Systems, Cooperative car data, Demand Estimation, Information Systems, Kalman Filtering
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants