Estimating link-dependent origin-destination matrices from sample trajectories and traffic counts

Michau, Gabriel, Pustelnik, Nelly, Borgnat, Pierre, Abry, Patrice, Nantes, Alfredo, & Chung, Edward (2015) Estimating link-dependent origin-destination matrices from sample trajectories and traffic counts. In Proceedings of the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, IEEE, Brisbane Convention & Exhibition Centre, Brisbane, QLD, pp. 5480-5484.

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Abstract

In transport networks, Origin-Destination matrices (ODM) are classically estimated from road traffic counts whereas recent technologies grant also access to sample car trajectories. One example is the deployment in cities of Bluetooth scanners that measure the trajectories of Bluetooth equipped cars. Exploiting such sample trajectory information, the classical ODM estimation problem is here extended into a link-dependent ODM (LODM) one. This much larger size estimation problem is formulated here in a variational form as an inverse problem. We develop a convex optimization resolution algorithm that incorporates network constraints. We study the result of the proposed algorithm on simulated network traffic.

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ID Code: 83111
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: OD matrices, urban transport, inverse problem, convex optimization, inference on network
DOI: 10.1109/ICASSP.2015.7179019
ISBN: 978-1-4673-6997-8
Subjects: Australian and New Zealand Standard Research Classification > PHYSICAL SCIENCES (020000) > OTHER PHYSICAL SCIENCES (029900) > Complex Physical Systems (029902)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
Copyright Owner: Copyright 2015 [Please consult the author]
Deposited On: 07 Apr 2015 04:14
Last Modified: 24 Jun 2017 12:03

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