Traffic Control Test Bed

Traffic Control Test Bed is a platform on which traffic control systems can be evaluated and benchmarked against each other on an open and level playing field. The platform includes a library of microsimulation network models and test configurations for the evaluation of traffic control systems.

The platform is based on the popular open source microsimulation software package SUMO(Simulation of Urban MObility).

Publications

• B. Gao, B. Anvari, C. Tsotskas, P. Franco, and S. Box, "Developing an open source platform for the evaluation of intelligent traffic control algorithms", in Proceedings of the 7th Transport Research Arena, 2018.
  

@inproceedings{Gao,
author = {Gao, Bo and Anvari, Bani and Tsotskas, Christos and Franco, Patrizia and Box, Simon},
booktitle = {Proceedings of the 7th Transport Research Arena},
title = {{Developing an open source platform for the evaluation of intelligent traffic control algorithms}},
year = {2018}
}

• B. Gao, B. Anvari, R. Tusting, C. Tsotskas and P. Franco, "Traffic Control Test Bed: An open source benchmarking platform for intersection control systems", in Proceedings of the 50th Annual UTSG Conference, 2018.

@inproceedings{Gao,
author = {Gao, Bo and Anvari, Bani and Tusting, Richard and Tsotskas, Christos and Franco, Patrizia},
booktitle = {Proceedings of the 50th Annual UTSG Conference},
title = {{Traffic Control Test Bed: An open source benchmarking platform for intersection control systems}},
year = {2018}
}

Demo

A case study using the Traffic Control Test Bed platform comparing different traffic control systems at the Northfield roundabout off Junction 14 of the M1 motorway, a strategic location connecting the city of Milton Keynes to the motorway network.

video version

Project Website: https://intelaligent.github.io/tctb/index.html

License

Traffic Control Test Bed is licensed under GPL, see the file LICENSE.md for details.

Legacy Reference

Started by Simon Box, some initial models of this project was hosted on http://tctester.sourceforge.net/.

You can find his legacy codes in the legacy_src folder.