MICROBURST PREDICTION IN PILOT AGENT USING FUZZY REASONING IN AIR TRAFFIC CONTROL SIMULATOR

• Main Author: USADA (NIM: 23207106), ELISA
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/12926
• Institution: Institut Teknologi Bandung

Air Traffic Control Simulator developed by ATC Simulator Team has implemented pilot agent inside. The Air Traffic Control simulator could be used as a media to introduce or to practice in air traffic controlling matter. A scenario to deal with severe weathers is crucial to be presented to the simulator user. The pilot agent in this simulator is designed to have an ability to respond the weather symptom which is given by the administrator or instructor before the simulator run. The pilot agent perform the respond as an issues that must be solved by the simulator user.<p>Microburst is a dangerous wind regarding to the approach, landing and take off flight segments. Pilot in real world predict the probability of microburst by pay an attention to the visualization of the weather around and from the weather report. The pilot behaviour in predicting and dealing with the microburst probabilities is simulated in this research. This research design and apply a reasoning system for the pilot agent in microburst prediction, in air traffic control simulator environment which is developed by the ATC Simulator Team. The weather parameters used in this research are limited to the rainfall intensity and the dew point spread. A fuzzy reasoning method pilot agent in predicting and dealing with the microburst probability is implemented successfully in this research. <br />