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46

285

mit

11

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

cnn gcn lstm mxnet pytorch attention tensorflow timeseries forecasting time-series transformer neural-network traffic-prediction traffic-forecasting timeseries-forecasting time-series-forecasting traffic-flow-prediction traffic-flow-forecasting

Created 2020-09-06

109 commits to master branch, last one about a year ago

T-GCN-PyTorch martinwhl

7

61

mit

1

A PyTorch implementation of T-GCN

pytorch deep-learning pytorch-lightning traffic-flow-prediction traffic-flow-forecasting spatio-temporal-prediction

Created 2021-03-16

42 commits to main branch, last one about a year ago

DASTNet YihongT

6

43

unknown

1

[CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

traffic cikm2022 time-series spatio-temporal urban-computing transfer-learning traffic-prediction traffic-forecasting adversarial-learning time-series-forecasting traffic-flow-forecasting spatial-temporal-forecasting

Created 2021-12-15

34 commits to master branch, last one 2 years ago

Traffic-flow-prediction thenomaniqbal

6

32

unknown

1

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...

lstm traffic deep-learning lstm-neural-network traffic-flow-modeling long-short-term-memory traffic-flow-prediction traffic-flow-forecasting

Created 2022-07-06

39 commits to master branch, last one 11 days ago