pengzhangzhi / Benchmark-Traffic-flow-prediction-
curated baselines and evaluation metrics to benchmark the task traffic flow prediction
☆27Updated 2 years ago
Alternatives and similar repositories for Benchmark-Traffic-flow-prediction-:
Users that are interested in Benchmark-Traffic-flow-prediction- are comparing it to the libraries listed below
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆168Updated 2 months ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆135Updated 4 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- ☆62Updated 3 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆89Updated 3 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆218Updated 4 years ago
- ☆76Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆202Updated 3 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated last year
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆19Updated 3 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆67Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆126Updated 3 years ago
- Using to predict the highway traffic speed☆31Updated 10 months ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆17Updated 2 years ago
- This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.☆24Updated 8 months ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆107Updated 4 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆225Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆226Updated last year
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆178Updated last year
- A PyTorch implementation of T-GCN☆61Updated last year
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆290Updated 3 years ago
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆123Updated 3 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆161Updated 3 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆27Updated 11 months ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆53Updated 2 years ago
- 交通流量预 测项目在研,以下是本人学习过程中积累整理的资源,会持续更新☆211Updated 4 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆134Updated 2 months ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated last year