pengzhangzhi / Benchmark-Traffic-flow-prediction-
curated baselines and evaluation metrics to benchmark the task traffic flow prediction
☆25Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Benchmark-Traffic-flow-prediction-
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆183Updated 3 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆18Updated 3 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆108Updated 4 months ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆209Updated 3 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆148Updated 4 months ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆223Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆127Updated 4 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆24Updated last year
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆159Updated 3 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆104Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated last year
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆207Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆88Updated 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。☆113Updated 3 years ago
- ☆55Updated 2 years ago
- ☆72Updated 11 months 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☆193Updated 4 years ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆161Updated last year
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆51Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Updated last year
- Traffic Flow Prediction with Vehicle Trajectories☆61Updated 3 years ago
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆91Updated 3 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆121Updated 3 years ago
- ☆273Updated 3 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆279Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆141Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆66Updated 4 years ago
- ☆84Updated 2 years ago