traffic-flow-prediction 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).
Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
TrafficFlowForecasting
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Traffic-Prediction-Open-Code-Summary
Summary of open source code for deep learning models in the field of traffic prediction
ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
T-GCN-PyTorch
A PyTorch implementation of T-GCN
Traffic-flow-prediction
A time series task- predicting traffic flow using LSTM model
AFFGCN
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)