MULTI-AGENTS SYSTEM BY GRID COMPUTING FOR REAL TIME TRAFFIC SYNCHRONIZATION

This study presents a new solution for the Air Traf fic Flow Management (ATFM) problem. Its main objective is to improve computational efficien cy for ATFM by combing grid computing with multi-agent coordination techniques. ATFM in G rid Computing (ATFMGC) was proposed to balance the communication among Multi-Agents, in ATFM for grid computing environments, in order to deal with synchronization problems. The function of the agents, their knowledge representation and inference processes we re discussed, as well as the grid architecture, in which the agents execute it, was d escribed to demonstrate the developed model. Also, a metric criterion called Standard of Balanci ng among Agents (SBA) was used as a basic index to measure the effectiveness of reducing the amount of communication among agents, and the delay of flights. The simulation results sh ow the efficiency of the developed model, and its successful application in a case study. JOURNAL OF THE BRAZILIAN AIR TRANSPORTATION RESEARCH SOCIETY • NUMBER 2 • 2006 64