Evolutionary optimization of urban traffic and vehicular emissions
DOI:
https://doi.org/10.30973/progmat/2016.8.1/6Keywords:
Traffic, Traffic lights Scheduling, simulation, vehicular emissions, evolutionary algorithmsAbstract
In the last decades, the vehicular traffic has become in the main source of congestion and air pollution in urban areas. In this work, it is study the problem to minimize both air pollution and travel times of vehicles applying NSGA-II evolutionary algorithm. A microscope simulator tool is used to calculate the fitness function. The experimental analysis made on the Montevideo Downtown (Uruguay) demonstrated that evolutionary algorithms are capable to reach high numerical efficacy in comparison with the present area situation.
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