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Traffic Brain is an open-source traffic light embedded system taking use of a machine learning classification model for decision making automation.

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Traffic Brain

Traffic Brain is an open-source traffic light control system. Using a classifier, information about the current road situation is collected and automated light switch decision is made based on it.

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Classification CI Server CI status Embedded CI status Client CI status

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Project Architecture

The project consists of 4 main components:

  • Object recognition for traffic detection (located in "/classification")
  • Main server controlling all the traffic light nodes (located in "/server")
  • Embedded server and traffic light schematics (located in "/embedded")
  • Front-end client for communicating with the server (still incomplete; located in "/client")

For each of the components' directories there is a coresponding README.md with instructions on how to get started.

Authors

  • Angel Penchev (@angel-penchev) - Object detection neural network, Embedded traffic light
  • Bogdan Mironov (@bogdanmironov) - Main controlling server
  • Simeon Georgiev (@simo1209) - Thank you for helping me out to complete the embedded <3

Contributions

  1. Fork it (https://github.com/braind3d/traffic-brain/fork)
  2. Create your feature branch (git checkout -b feature/fooBar)
  3. Commit your changes (git commit -a)
  4. Push to the branch (git push origin feature/fooBar)
  5. Create a new Pull Request
  6. Upon review it will be merged.

License

Distributed under the MIT license. See LICENSE for more information.

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Traffic Brain is an open-source traffic light embedded system taking use of a machine learning classification model for decision making automation.

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