METODOLOGIAS PARA RESOLUÇÃO DE CONFLITOS ENTRE AERONAVES BASEADAS EM GAME TREE¶
Abstract¶
IN RECENT YEARS, SIGNIFICANT PROGRESS HAS BEEN MADE IN THE DEVELOPMENT OF AIR TRAFFIC MANAGEMENT (ATM) RELATED MODELS. CONSIDERING VARIOUS KINDS OF EVENTS INVOLVED IN A FLIGHT (SENSOR ACCURACY, CLIMATE AND METEOROLOGICAL UNCERTAINTIES, AIRCRAFT TRAJECTORY CHANGES, ETC.), MANY EFFORTS STILL NEED TO DEVELOP METHODS THAT CAN BE APPLIED TO ACTUAL ENVIRONMENT WITH MAXIMUM ACCURACY. THESE METHODS ALL NEED TO DEAL WITH A LARGE AMOUNT OF DATA. IN THIS BACKGROUND, SOME RESEARCHERS HAVE SOUGHT DIFFERENT ARTIFICIAL INTELLIGENCE METHODS TO IMPROVE DECISION-MAKING IN AIR TRANSPORTATION. THIS RESEARCH AIMS TO PROPOSE TWO DIFFERENT CONFLICT RESOLUTION METHODS BASED ON GAME TREES: DEPTH FIRST SEARCH (DFS) AND ALPHA-BTA. WE WILL INTRODUCE THE BASIC CONCEPTS OF THESE METHODS, AS WELL AS THE MODELING NECESSARY FOR THEIR APPLICATION. FINALLY, IT WILL INTRODUCE THE SIMULATION RESULTS INVOLVING DIFFERENT AIRCRAFT COMBINATIONS, AND POINT OUT THE POSSIBILITY OF APPLICATION OF EACH METHOD.
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Citing¶
@inproceedings{SIT204,
author = {LUCAS BORGES MONTEIRO; CRISTIANO PEREZ GARCIA; GERALDO PEREIRA ROCHA FILHO; LI WEIGANG},
title = {METODOLOGIAS PARA RESOLUÇÃO DE CONFLITOS ENTRE AERONAVES BASEADAS EM GAME TREE},
booktitle = {Proceedings of the 2022 Air Transportation Symposium},
series = {SITRAER 2022},
year = {2022},
pages = {457-465},
publisher = {SBTA - Brazilian Air Transportation Research Society},
address = {São José dos Campos, Brazil,}
}
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