Journal article
Origin–destination flow estimation from link count data only
S Dey, S Winter, M Tomko
Sensors Switzerland | MDPI | Published : 2020
DOI: 10.3390/s20185226
Abstract
All established models in transportation engineering that estimate the numbers of trips between origins and destinations from vehicle counts use some form of a priori knowledge of the traffic. This paper, in contrast, presents a new origin–destination flow estimation model that uses only vehicle counts observed by traffic count sensors; it requires neither historical origin–destination trip data for the estimation nor any assumed distribution of flow. This approach utilises a method of statistical origin–destination flow estimation in computer networks, and transfers the principles to the domain of road traffic by applying transport-geographic constraints in order to keep traffic embedded in..
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Funding Acknowledgements
This research is funded by the University of Melbourne under a research fellowship grant.