Open AccessSupport Vector Machine Based Design and Simulation of Air Traffic Management for Prioritized Landing of Large Number of UAVs
Author(s) -
Ahmed F. Abdulhameed,
Qurban A. Memon
Publication year - 2022
Publication title -
european journal of artificial intelligence and machine learning
Language(s) - English
Resource type - Journals
ISSN - 2796-0072
DOI - 10.24018/ejai.2022.1.2.7
Subject(s) - doors , flexibility (engineering) , drone , computer science , control (management) , popularity , aeronautics , simulation , real time computing , systems engineering , engineering , artificial intelligence , operating system , psychology , social psychology , statistics , mathematics , biology , genetics
UAVs also known as drones are gaining more popularity day by day and its applications keep increasing. They are being used in several areas, such as transportation, surveillance, defense, etc. They open doors for new innovative applications due to their compact design, flexibility in landing and departing, the accurate possible control of their flying methodology. As a part of expected future of extensive use of this device, a landing control system for prioritizing the landing of large number of UAVs at a certain station using support vector machine learning is proposed. The proposed system shows promising results in terms of controlling landing sequences of a large number of UAVs. Based on results, the conclusions are presented.