An algorithm selects traffic counter locations to increase observed traffic-pattern diversity; real-world installation of the chosen counters improved volume estimation accuracy.
Network-wide traffic volume estimation from speed profiles using a spatio-temporal graph neural network with directed spatial attention,
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Selecting New Measurement Locations to Diversify Traffic-Pattern Coverage: A Real-World Evaluation for Total Traffic Volume Estimation
An algorithm selects traffic counter locations to increase observed traffic-pattern diversity; real-world installation of the chosen counters improved volume estimation accuracy.