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Dynamic OD matrix estimation exploiting bluetooth data in urban networkss

Author
Barcelo, J.; Lídia Montero; Bullejos, M.A.; Serch, O.; Carmona, C.
Type of activity
Presentation of work at congresses
Name of edition
14th International Conference on Automatic Control, Modelling & Simulation
Date of publication
2012
Presentation's date
2012-04-03
Book of congress proceedings
Proceedings of the International Conference
First page
116
Last page
121
Project funding
COST Action TU0903
MITRA (TRA2009-14270)
TRA2011-27791-C03-02
Repository
http://hdl.handle.net/2117/17741 Open in new window
URL
http://www.wseas.us/e-library/conferences/2012/SaintMalo/ACMIN/ACMIN-17.pdf Open in new window
Abstract
Time-Dependent Origin-Destination (OD) matrices are a key input to Dynamic Traffic Models. Microscopic and Mesoscopic traffic simulators are relevant examples of such models, traditionally used to assist in the design and evaluation of Traffic Management and Information Systems (ATMS/ATIS). Dynamic traffic models can also be used to support real-time traffic management decisions. The typical approaches to time-dependent OD estimation have been based either on Kalman-Filtering or on bi-level math...
Citation
Barceló, J. [et al.]. Dynamic OD matrix estimation exploiting bluetooth data in urban networkss. A: International Conference on Automatic Control, Modelling & Simulation. "Proceedings of the International Conference". Saint-Malo: 2012, p. 116-121.
Keywords
Advanced Traffic Management, Data Collection., Dynamic OD Matrix, Kalman Filter
Group of research
CRAHI - Center of Applied Research in Hydrometeorology
IMP - Information Modelling and Processing
inLab FIB

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