Origin-Destination Flow Estimation from Link Count Data Only
Subhrasankha Dey, Stephan Winter, Martin Tomko
SENSORS | MDPI | Published : 2020
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..View full abstract
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This research is funded by the University of Melbourne under a research fellowship grant.