traffic-flow-forecasting topic

List traffic-flow-forecasting repositories
trafficstars

traffic_prediction

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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

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⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

matgcn

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Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting

DASTNet

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Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

Traffic-flow-prediction

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A time series task- predicting traffic flow using LSTM model

Traffic-flow-prediction

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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...