alzmxx / OD_Prediction
Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
☆12Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for OD_Prediction
- Using to predict the highway traffic speed☆29Updated 7 months ago
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆14Updated 3 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆61Updated 3 years ago
- We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolut…☆22Updated 4 years ago
- This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.☆22Updated 5 months ago
- Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting☆17Updated 3 years ago
- Taxi Origin-Destination Demand Prediction☆54Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆28Updated last year
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆17Updated 3 years ago
- Graph Markov Network for Traffic Forecasting with Missing Data☆27Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆66Updated 4 years ago
- ☆13Updated 2 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- ☆43Updated 5 years ago
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 4 months ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆15Updated 2 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆27Updated last year
- Transportation data online prediction☆47Updated 3 years ago
- 利用已有的地铁流量历史数据建立模型,实现数据间存在的关联,为该城市未来一天的地铁流量进行一个较为准确的预测☆22Updated 5 years ago
- ☆9Updated 2 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆24Updated 2 years ago
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆80Updated last year
- ☆13Updated 6 years ago
- A large-scale simulation-based dynamic traffic assignment model of Melbourne☆8Updated 5 years ago
- ☆85Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆52Updated last year
- A correlation information-based spatiotemporal network for traffic flow forecasting☆25Updated 9 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated last year
- This repository contains code related to a research paper I've been working on titled "Dynamic traffic assignment with a node-based cell …☆13Updated 5 years ago