Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
