HSETA: A Heterogeneous and Sparse Data Learning Hybrid Framework for Estimating Time of Arrival
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3170917
Abstract: The estimated time of arrival (ETA) plays a vital role in intelligent transportation systems and has been widely used as a basic service in ride-hailing platforms. Obtaining a precise ETA is a challenging task due… read more here.
Keywords: time; sparse data; data learning; sparse ... See more keywords