Shypd.aiThe largest open index of AI toolsTrafficFlowPrediction is a Data & Analytics tool that predicts traffic flow using neural networks. It supports SAEs, LSTM, and GRU models for transportation planning and research.
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TrafficFlowPrediction is an open-source project designed for predicting traffic flow using various neural network architectures, including Stacked Autoencoders (SAEs), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU). This tool is ideal for researchers and data scientists working in transportation planning and traffic management. It requires Python 3.6, Tensorflow-gpu 1.5.0, Keras 2.1.3, and scikit-learn 0.19. Users can train models with their own data, with experiment data from the Caltrans Performance Measurement System (PeMS) provided as an example. The project offers detailed metrics like MAE, MSE, RMSE, MAPE, R2, and Explained variance score for each model, demonstrating its effectiveness in traffic forecasting.
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