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Adapting a dynamic OD matrix estimation approach for private traffic based on bluetooth data to passenger OD matrices

Author
Lídia Montero; Barcelo, J.; Codina, E.
Type of activity
Presentation of work at congresses
Name of edition
International Conference on Engineering and Applied Science 2012
Date of publication
2012
Presentation's date
2012-07-25
Book of congress proceedings
2012 ICEAS: 2012 International Conference on Engineering and Applied Science: 2012 GEBF & ISSTEP: 2012 Annual Conference on Global Economy, Business and Finance: 2012 International Symposium on Society, Technology, Education and Politics: Beijin, China 2012
First page
41
Last page
49
Project funding
COST Action TU0903
MITRA (TRA2009-14270)
TRA2011-27791-C03-02
Repository
http://hdl.handle.net/2117/17737 Open in new window
URL
http://cataleg.upc.edu/record=b1419743~S1*cat Open in new window
Abstract
The primary data input used in principal traffic models comes from Origin-Destination (OD) trip matrices, which describe the patterns of commuters across the network. In this way, OD matrices become a critical requirement in Advanced Transport Control and Management and/or Information Systems that are supported by Dynamic Traffic Assignment models (DTA models). Dynamic Transit Assignment models are a research topic, but once a dynamic transit assignment be available to practitioners, the problem...
Citation
Montero, L.; Barcelo, J.; Codina, E. Adapting a dynamic OD matrix estimation approach for private traffic based on bluetooth data to passenger OD matrices. A: International Conference on Engineering and Applied Science. "2012 ICEAS: 2012 International Conference on Engineering and Applied Science: 2012 GEBF & ISSTEP: 2012 Annual Conference on Global Economy, Business and Finance: 2012 International Symposium on Society, Technology, Education and Politics: Beijin, China 2012". Beijing: 2012, p. 41-49.
Keywords
Advanced Traffic Management, Information Systems, Kalman Filtering, Luz/febrer/2012: Applied Science
Group of research
IMP - Information Modelling and Processing
inLab FIB

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