Estimating the origin-destination matrix using link count observations and traffic flow dynamics

Origin-destination (OD) matrices are essential in-puts to dynamic traffic assignment and traffic simulation models and important tools for transportation planning. In this work we propose the use of detailed macroscopic traffic dynamics for the static OD matrix estimation problem. In contrast with m...

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Bibliographic Details
Published in2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) pp. 3213 - 3218
Main Authors Englezou, Y., Timotheou, S., Panayiotou, C.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.10.2022
Subjects
Detectors
Estimation
Mathematical models
Planning
Traffic control
Transportation
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Summary:Origin-destination (OD) matrices are essential in-puts to dynamic traffic assignment and traffic simulation models and important tools for transportation planning. In this work we propose the use of detailed macroscopic traffic dynamics for the static OD matrix estimation problem. In contrast with most literature methodologies that consider average link flows over the time horizon under study, we utilise traffic counts in small intervals and employ a signalised path-based cell transmission model to accurately capture traffic dynamics and associate OD demands with link counts. In this setting the OD matrix estimation problem is formulated as a nonlinear mathematical program. The proposed methodology works well under both free-flow and congested conditions, as well as cases where loop detectors exist only on a subset of links in the network.
DOI:10.1109/ITSC55140.2022.9921951