Traffic forecasting via dilated temporal convolution with peak-sensitive loss
G Guo, W Yuan, J Liu, Y Lv… - IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Deep learning-based traffic forecasting methods can capture intricate spatiotemporal
features in traffic data and environmental factors. However, they have unsatisfactory …
features in traffic data and environmental factors. However, they have unsatisfactory …
Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss
G Guo, W Yuan, J Liu, Y Lv, W Liu - IEEE Intelligent Transportation …, 2023 - trid.trb.org
Deep learning-based traffic forecasting methods can capture intricate spatiotemporal
features in traffic data and environmental factors. However, they have unsatisfactory …
features in traffic data and environmental factors. However, they have unsatisfactory …