MS-Net: Multi-source spatio-temporal network for traffic flow prediction

S Fang, V Prinet, J Chang, M Werman… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Predicting urban traffic flow is a challenging task, due to the complicated spatio-temporal
dependencies on traffic networks. Urban traffic flow usually has both short-term neighboring …

MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction

S Fang, V Prinet, J Chang, M Werman, C Zhang… - IEEE Transactions on …, 2022 - trid.trb.org
Predicting urban traffic flow is a challenging task, due to the complicated spatio-temporal
dependencies on traffic networks. Urban traffic flow usually has both short-term neighboring …

MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction

S Fang, V Prinet, J Chang, M Werman… - IEEE Transactions on …, 2022 - dl.acm.org
Predicting urban traffic flow is a challenging task, due to the complicated spatio-temporal
dependencies on traffic networks. Urban traffic flow usually has both short-term neighboring …