A3t-gcn: Attention temporal graph convolutional network for traffic forecasting
J Bai, J Zhu, Y Song, L Zhao, Z Hou, R Du… - … International Journal of …, 2021 - mdpi.com
Accurate real-time traffic forecasting is a core technological problem against the
implementation of the intelligent transportation system. However, it remains challenging …
implementation of the intelligent transportation system. However, it remains challenging …
T-gcn: A temporal graph convolutional network for traffic prediction
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic
system and is of great significance for urban traffic planning, traffic management, and traffic …
system and is of great significance for urban traffic planning, traffic management, and traffic …
Hierarchical graph convolution network for traffic forecasting
Traffic forecasting is attracting considerable interest due to its widespread application in
intelligent transportation systems. Given the complex and dynamic traffic data, many …
intelligent transportation systems. Given the complex and dynamic traffic data, many …
Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting
Traffic forecasting is a particularly challenging application of spatiotemporal forecasting, due
to the time-varying traffic patterns and the complicated spatial dependencies on road …
to the time-varying traffic patterns and the complicated spatial dependencies on road …
3d graph convolutional networks with temporal graphs: A spatial information free framework for traffic forecasting
Spatio-temporal prediction plays an important role in many application areas especially in
traffic domain. However, due to complicated spatio-temporal dependency and high non …
traffic domain. However, due to complicated spatio-temporal dependency and high non …
AST-GCN: Attribute-augmented spatiotemporal graph convolutional network for traffic forecasting
J Zhu, Q Wang, C Tao, H Deng, L Zhao, H Li - Ieee Access, 2021 - ieeexplore.ieee.org
Traffic forecasting is a fundamental and challenging task in the field of intelligent
transportation. Accurate forecasting not only depends on the historical traffic flow information …
transportation. Accurate forecasting not only depends on the historical traffic flow information …
Short-term traffic speed forecasting based on graph attention temporal convolutional networks
G Guo, W Yuan - Neurocomputing, 2020 - Elsevier
Accurate and timely traffic forecasting is significant for intelligent transportation
management. However, existing approaches model the temporal and spatial features of …
management. However, existing approaches model the temporal and spatial features of …
DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting
Traffic speed forecasting is one of the core problems in transportation systems. For a more
accurate prediction, recent studies started using not only the temporal speed patterns but …
accurate prediction, recent studies started using not only the temporal speed patterns but …
Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction
Accurate urban traffic prediction is a critical issue in Intelligent Transportation Systems (ITS).
It is challenging since urban traffic usually indicates high dynamic spatio-temporal …
It is challenging since urban traffic usually indicates high dynamic spatio-temporal …
Make more connections: Urban traffic flow forecasting with spatiotemporal adaptive gated graph convolution network
Urban traffic flow forecasting is a critical issue in intelligent transportation systems. Due to
the complexity and uncertainty of urban road conditions, how to capture the dynamic …
the complexity and uncertainty of urban road conditions, how to capture the dynamic …
相关搜索
- ast gcn traffic forecasting
- temporal graphs traffic forecasting
- ast gcn convolutional network
- convolutional network traffic forecasting
- ast gcn spatiotemporal graph
- network scale traffic graph
- convolutional network spatiotemporal graph
- convolutional network traffic correlations
- convolutional network traffic prediction
- spatiotemporal graph traffic forecasting
- network scale traffic learning