imethanlee / Traffic-Flow-BaselineLinks
[This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA, VAR, SVR, FNN, FC-LSTM)
☆21Updated 4 years ago
Alternatives and similar repositories for Traffic-Flow-Baseline
Users that are interested in Traffic-Flow-Baseline are comparing it to the libraries listed below
Sorting:
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆136Updated 4 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆47Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆230Updated 4 years ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆20Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆31Updated 4 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆167Updated 4 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆29Updated last year
- ☆66Updated 3 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆69Updated 4 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆146Updated 4 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆193Updated 4 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆138Updated 3 months ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆108Updated 3 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆177Updated 2 years ago
- A pytorch re-implementation of STFGNN☆28Updated 2 years ago
- ☆78Updated last year
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆222Updated 4 years ago
- ☆73Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆57Updated 2 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆182Updated 7 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆249Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- ☆24Updated last year
- The pytorch code of DGCN(TITS)☆54Updated 2 years ago
- ☆43Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆235Updated 5 years ago
- A PyTorch implementation of T-GCN☆63Updated 2 years ago