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Dynamic OD transit matrix estimation: formulation and model-building environment

Author
Lídia Montero; Codina, E.; Barcelo, J.
Type of activity
Presentation of work at congresses
Name of edition
Twenty-Third International Conference on Systems Engineering
Date of publication
2014
Presentation's date
2015-01-30
Book of congress proceedings
Progress in systems engineering: proceedings of the Twenty-Third International Conference on Systems Engineering
First page
347
Last page
353
DOI
https://doi.org/10.1007/978-3-319-08422-0_51 Open in new window
Project funding
ROBUSTEZ, RECUPERABILIDAD Y CONGESTION EN REDES DE TRANSPORTE PUBLICO
URL
http://link.springer.com/chapter/10.1007%2F978-3-319-08422-0_51 Open in new window
Abstract
The aim of this paper is to provide a detailed description of a framework for the estimation time-sliced origin-destination (OD) trip matrices in a transit network using counts and travel time data of Bluetooth Smartphone devices carried by passengers at equipped transit-stops. A Kalman filtering formulation defined by the authors has been included in the application. The definition of the input for building the space-state model is linked to network scenarios modeled with the transportation pla...
Keywords
Advanced Transport Information Systems, Demand Estimation, Information Systems, Kalman Filtering
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants