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Automated traffic engineering using evolutionary optimization algorithms

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gcrsef-gang/iintersection

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iintersection

A genetic algorithm for optimizing traffic intersections using microscopic simulation packages. This repository represents all code written for the research project Intelligent Intersections: A Computational Approach to Traffic Engineering.

Running tests

To run the python tests, create a link to the root directory of this repository that python can access:

pip install -e .

Then you can run the tests:

cd tests
python3 test_iintersection.py <function>

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Automated traffic engineering using evolutionary optimization algorithms

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