Using Tensorflow to Predict Traffic Congestion Types.

Python tensorflow is used to predict the congestion types based on image object recognition

HOW TO TEST

1. Clone git repository and cd into the directory

 git clone https://github.com/taiwotman/TensorflowPredictCongestionTypes.git
 
 cd TensorflowPredictCongestionTypes

2. Set up virtualenv with directory venv

 virtualenv venv

3. Activate venv using:

 source venv/bin/activate

4. Install tensorflow using:

 pip install tensorflow

5. Use traffic congestion image(supports only jpeg/jpg format). For example:

 python run.py test_image/Aut10_010.jpg

6. Example output:

  high congestion (score = 0.70454)

TO DO

Create Flask REST API using (real-time) traffic image data for prediction.

You want to be a contributor?

1. Fork repository

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2. Connect and chat me on LinkedIn.

FOR ACADEMIC PURPOSE; kindly, cite our related work:

 T. Adetiloye, A. Awasthi(2017). Predicting Short-Term Congested Traffic Flow on Urban Motorway Networks. 
 In P. Samui, S.S Roy, V.E. Balas(Eds.), Handbook of Neural Computation(pg. 145–165).
 doi: https://doi.org/10.1016/B978-0-12-811318-9.00008-9 . Academic Press.