traffic-flow-forecasting topic
traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
ASTGCN-2019-mxnet
⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch
T-GCN-PyTorch
A PyTorch implementation of T-GCN
matgcn
Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting
DASTNet
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
Traffic-flow-prediction
A time series task- predicting traffic flow using LSTM model
Traffic-flow-prediction
Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implement...