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This work presents a proposal based on agentes to apply Genetic Algorithms (GA) for the optimal control of traffic lights in vehicular traffic in the city of Rio Grande / RS, as well as an analysis of the dispersion of pollutants in this scenario using the urban mobility simulator, called SUMO (Simulation of Urban Mobility). Resumo. Este trabalho apresenta uma proposta, com abordagem baseada em agentes, de aplicação dos Algoritmos Genéticos (AG) para o controle otimizado de semáforos no tráfego de veículos na cidade de Rio Grande/RS, bem como uma análise da dispersão de poluentes, utilizando o simulador de mobilidade urbana SUMO (Simulation of Urban Mobility).

Gerenciamento de semáforos e Dispersão de Poluentes utilizando o simulador SUMO: Estudo de caso do Centro de Rio Grande/RS