Short-term traffic flow forecasting method with MB-LSTM hybrid network

Q Zhaowei, L Haitao, L Zhihui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning has achieved good performance in short-term traffic forecasting recently.
However, the stochasticity and distribution imbalance are main characteristics to traffic flow …

Short-Term Traffic Flow Forecasting Method With MB-LSTM Hybrid Network

Q Zhaowei, L Haitao, L Zhihui, Z Tao - IEEE Transactions on Intelligent …, 2022 - dl.acm.org
Deep learning has achieved good performance in short-term traffic forecasting recently.
However, the stochasticity and distribution imbalance are main characteristics to traffic flow …

Short-Term Traffic Flow Forecasting Method With MB-LSTM Hybrid Network

Q Zhaowei, L Haitao, L Zhihui, Z Tao - IEEE Transactions on Intelligent …, 2022 - trid.trb.org
Deep learning has achieved good performance in short-term traffic forecasting recently.
However, the stochasticity and distribution imbalance are main characteristics to traffic flow …