Web: http://arxiv.org/abs/2201.10307

Jan. 26, 2022, 2:11 a.m. | Mathias Niemann Tygesen, Francisco C. Pereira, Filipe Rodrigues

cs.LG updates on arXiv.org arxiv.org

Predicting the supply and demand of transport systems is vital for efficient
traffic management, control, optimization, and planning. For example,
predicting where from/to and when people intend to travel by taxi can support
fleet managers to distribute resources; better predicting traffic
speeds/congestion allows for pro-active control measures or for users to better
choose their paths. Making spatio-temporal predictions is known to be a hard
task, but recently Graph Neural Networks (GNNs) have been widely applied on
non-euclidean spatial data. However, …

arxiv graph neural prediction

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