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Kalman-filtering formulation details for dynamic OD passenger matrix estimation

Author
Lídia Montero; Codina, E.; Barcelo, J.
Type of activity
Presentation of work at congresses
Name of edition
6th International Conference on Applied Operational Research
Date of publication
2014
Presentation's date
2014-07-31
Book of congress proceedings
Proceedings of the 6th International Conference Conference on Applied Operational Research, ICAOR'14: 29-31 July 2014, Vancouver, BC Canada
First page
82
Last page
90
Project funding
ROBUSTEZ, RECUPERABILIDAD Y CONGESTION EN REDES DE TRANSPORTE PUBLICO
Repository
http://hdl.handle.net/2117/24685 Open in new window
URL
http://www.tadbir.ca/lnms/archive/v6/lnmsv6p82.pdf Open in new window
Abstract
In this paper, we describe how to estimate time-sliced origin-destination (OD) matrices for passengers in a public transport network based on counts of ICT (Intelligent Communication Technology) devices carried by passengers at equipped transit-stops. The transit assignment framework is based on optimal strategy, which determines the subset of paths related to the optimal strategies between all OD pairs for the whole horizon of study. Details are provided on how to build the involved equatio...
Citation
Montero, L.; Codina, E.; Barcelo, J. Kalman-Filtering formulation details for Dynamic OD passenger matrix estimation. A: International Conference on Applied Operational Research. "Lecture Notes in Management Science - Vol 6". VANCOUVER: 2014, p. 82-90.
Keywords
Advanced Transport Information Systems, ITS data, Kalman Filtering, Matrix Estimation
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants