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Keywords: RDSTGAT
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Journal Articles
Residual dynamic spatio-temporal graph attention network for enhanced urban traffic origin/destination demand calibration
Available to Purchase
Journal:
Engineering Computations
Engineering Computations 1–50.
Published: 26 January 2026
...Pablo Manglano Redondo; Alvaro Paricio-Garcia; Miguel Angel Lopez-Carmona; Sergio Sierra Arquero Purpose The purpose of this paper is to introduce the residual dynamic spatio-temporal graph attention network (RDSTGAT), a novel deep learning architecture designed to address traffic origin...
