Utilizing UNet for the future traffic map prediction task Traffic4cast challenge 2020
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Abstract (arXiv)
This paper describes our UNet based experiments on the Traffic4cast challenge 2020. Similar to the Traffic4cast challenge 2019, the task is to predict traffic flow volume, direction and speed on a high resolution map of three large cities worldwide. We mainly experimented with UNet based deep convolutional networks with various compositions of densely connected convolution layers, average pooling layers and max pooling layers. Three base UNet model types are tried and predictions are combined by averaging prediction scores or taking median value. Our method achieved best performance in this years newly built challenge dataset.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Nov 2020.
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Citing papers per year: 2021: 8; 2022: 3; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
12 papers.
- 2021EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction taskcited by 34
- 2022Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processescited by 15
- 2022A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecastingcited by 5
- 2021Traffic Forecasting on Traffic Moving Snippetscited by 3
- 2021A Variational U-Net for Weather Forecastingcited by 3
- 2021Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNetcited by 3
- 2022SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformerscited by 3
- 2021Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Predictioncited by 2
- 2021Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptationcited by 2
- 2021Efficient spatio-temporal weather forecasting using U-Netcited by 1
- 2021Attention Gate in Traffic Forecastingcited by 0
- 2026A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learningcited by 0
- 2026A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learning27 May 2026
- 2022A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting2 Aug 2022
- 2022Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes31 Mar 2022
- 2022SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers17 Jan 2022
- 2021Efficient spatio-temporal weather forecasting using U-Net13 Dec 2021
- 2021Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet10 Nov 2021
- 2021A Variational U-Net for Weather Forecasting5 Nov 2021
- 2021Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation5 Nov 2021
- 2021Traffic Forecasting on Traffic Moving Snippets27 Oct 2021
- 2021Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction21 Oct 2021
- 2021Attention Gate in Traffic Forecasting27 Sep 2021
- 2021EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task16 Apr 2021