Sistema para sincronização e gerenciamento de fluxo de tráfego aéreo multi-agentes
DOI:
https://doi.org/10.14295/transportes.v13i1.91Abstract
Nesta pesquisa propõe-se um sistema para sincronização e gerenciamento de fluxo de tráfego aéreo que combina tecnologias de Inteligência Artificial – coordenação de Multi-Agentes, e computação distribuída sobre a Internet – Grid Computacional – cuja finalidade é otimizar o fluxo de tráfego aéreo, prevendo congestionamentos e racionalizando a utilização dos recursos dos aeroportos, sem contudo, ferir os princípios de segurança estabelecidos para a área de transportes aéreos. Para demonstrar o sistema desenvolvido, são descritos sua arquitetura, seus componentes e os relacionamentos entre eles, bem como os mecanismos de negociação necessários às tomadas de decisão. A título ilustrativo, é relatado um estudo de caso de planejamento tático, simulado a partir de informações do Aeroporto Internacional de São Paulo. A combinação das duas tecnologias, coordenação de Multi-Agentes e Grid Computacional, aplicada ao problema de gerenciamento do fluxo de tráfego aéreo apresenta perspectivas de tornar-se um tópico promissor para pesquisas futuras.
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