A hybrid deep learning model with attention-based conv-LSTM networks for short-term traffic flow prediction

H Zheng, F Lin, X Feng, Y Chen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …
被引用次数：338 相关文章
[PDF] researchgate.net

[PDF][PDF] A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

H Zheng, F Lin, X Feng, Y Chen - researchgate.net
Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

H Zheng, F Lin, X Feng, Y Chen - IEEE Transactions on Intelligent …, 2021 - trid.trb.org
Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

H Zheng, F Lin, X Feng, Y Chen - IEEE Transactions on Intelligent …, 2021 - dl.acm.org
Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …