Traffic Flow Prediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Requirement
- Python 3.6
- Tensorflow-gpu 1.5.0
- Keras 2.1.3
- scikit-learn 0.19
Train the model
Run command below to train the model:
python train.py --model model_name
You can choose "lstm", "gru" or "saes" as arguments. The .h5
weight file was saved at model folder.
Experiment
Data are obtained from the Caltrans Performance Measurement System (PeMS). Data are collected in real-time from individual detectors spanning the freeway system across all major metropolitan areas of the State of California.
Run command below to run the program:
python main.py
nihao