Quantifying the uncertainty in long-term traffic prediction based on PI-ConvLSTM network
Y Li, S Chai, G Wang, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This work proposes a novel uncertainty quantification framework for long-term traffic flow
prediction (TFP) based on a sequential deep learning model. Quantifying the uncertainty of …
prediction (TFP) based on a sequential deep learning model. Quantifying the uncertainty of …
Quantifying the Uncertainty in Long-Term Traffic Prediction Based on PI-ConvLSTM Network
Y Li, S Chai, G Wang, X Zhang, J Qiu - IEEE Transactions on Intelligent …, 2022 - trid.trb.org
This work proposes a novel uncertainty quantification framework for long-term traffic flow
prediction (TFP) based on a sequential deep learning model. Quantifying the uncertainty of …
prediction (TFP) based on a sequential deep learning model. Quantifying the uncertainty of …