A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network

X Mi, C Yu, X Liu, G Yan, F Yu, P Shang - Digital Signal Processing, 2022 - Elsevier
Traffic congestion is a difficult problem that restricts the construction of urbanization.
Spatiotemporal traffic speed forecasting technologies can provide effective technical support …

A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network

X Mi, C Yu, X Liu, G Yan, F Yu, P Shang - 2022 - dl.acm.org
Traffic congestion is a difficult problem that restricts the construction of urbanization.
Spatiotemporal traffic speed forecasting technologies can provide effective technical support …

[PDF][PDF] A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network

X Mi, C Yu, X Liu, G Yan, F Yu, P Shanga - 2022 - researchgate.net
Traffic congestion is a difficult problem that restricts the construction of urbanization.
Spatiotemporal traffic speed forecasting technologies can provide effective technical support …

A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network

X Mi, C Yu, X Liu, G Yan, F Yu… - Digital Signal …, 2022 - ui.adsabs.harvard.edu
Traffic congestion is a difficult problem that restricts the construction of urbanization.
Spatiotemporal traffic speed forecasting technologies can provide effective technical support …