过去一年中添加的文章，按日期排序
A traffic flow prediction method based on constrained dynamic graph convolutional recurrent networks
H Xiao, Z Zhao, T Yang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
37 天前 - … To enhance the efficiency of predicting future traffic flow … an error assessment on
the Metro Traffic Los Angeles and … prediction models, recurrent neural network models, and …
the Metro Traffic Los Angeles and … prediction models, recurrent neural network models, and …
Urban traffic forecasting using attention based model with GCN and GRU
R Kumar, R Panwar, VK Chaurasiya - Multimedia Tools and Applications, 2023 - Springer
217 天前 - … roads in urban and metropolitan area, hence traffic jam is … to extract features more
effectively. The spatial pattern is … In most studies, Recurrent Neural Networks (RNNs) are …
effectively. The spatial pattern is … In most studies, Recurrent Neural Networks (RNNs) are …
Tmfo-aggru: a graph convolutional gated recurrent network for metro passenger flow forecasting
Y Zhang, Y Chen, Z Wang, D Xin - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
344 天前 - … of output data based on different traffic characteristics, we … a new graph convolutional
gated recurrent neural network … paper can effectively improve the prediction accuracy in …
gated recurrent neural network … paper can effectively improve the prediction accuracy in …