masizhou / traffic_prediction
分别使用三种图卷积做一个简单的交通流量预测模型。
☆35Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for traffic_prediction
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆105Updated 3 years ago
- Tutorial about Graph Convolutional Network(GCN)☆90Updated 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
- 交通流量多模型预测☆43Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆66Updated 4 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
- 使用GCN和GRU组合模型，多站点气温预测☆32Updated 3 years ago
- traffic-prediction using LSTM and GCN by pytorch☆53Updated 4 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆82Updated 5 years ago
- 城市交通道路流量预测☆44Updated 5 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- ☆43Updated 5 years ago
- A PyTorch implementation of T-GCN☆58Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆187Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated last year
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆92Updated 3 years ago
- 2019年广西人工智能设计大赛：交通-地铁客流量预测Baseline（三等奖）☆50Updated 3 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆128Updated 4 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆169Updated 4 years ago
- 基于图注意力模型（GAT）的交通网络流量预测☆9Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆51Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆122Updated 3 years ago
- ☆72Updated 11 months ago
- ☆33Updated 3 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☆12Updated 3 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆40Updated last year
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆209Updated 3 years ago
- Some TrafficFlowForecasting Solutions(交通流量预测解决方案)☆327Updated 4 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
- 利用TensorFlow框架构建LSTM模型做出城市流量的预测☆14Updated 3 years ago