Abordagem de Balanceamento de Negociação entre Agentes em Sincronização de Tráfego (Approach of Balancing of the Negotiation among Agents in Traffic Synchronization)

Marcus Vinicius Pinheiro Dib (dib@bsb.politec.com.br)1, Li Weigang (weigang@cic.unb.br)2, Alba Cristina Magalhaes Alves de Melo (albamm@cic.unb.br)2

1Politec Informática
2University of Brasilia

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2007
Volume: 5,   Issue: 5 
ISSN: 1548-0992

This paper presents a new solution for Air Traffic Flow Management (ATFM) problem. The main objective of our research is to improve computational efficiency for ATFM by combing grid computing with multi-agent coordination techniques. To balance the communication among Multi-Agents in ATFM for grid computing environments, ATFM in Grid Computing (ATFMGC) is proposed for such synchronization problem. To demonstrate the developed model, the function of the agents, their knowledge representation and inference processes are discussed and the grid architecture in which the agents execute is described. Also, as a criterion to measure the effectiveness to reduce the amount of communication among agents and the delay of the flights, a metric called Standard of Balancing among Agents (SBA) is used as a basic index. The simulation results show the efficiency of the developed model and its successful application in a case study.

Index Terms:
air traffic flow management, distributed computing, cooperative systems, synchronization   

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