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Abstract

The thesis contains the implementation of the crossroad simulator in Python. Subsequently, the use of optimization algorithms to find the ideal traffic light setting at the crossroad. The next section describes the experiments with the optimization algorithms and the subsequent evaluation of the results. Source code from the simulator and the resulting graphs and tables from the experiments are included.

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Subject(s)

Crossroad simulator, Optimization algorithms, Particle swarm optimization, Differential Evolution, Genetic Algorithm

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