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Enhancing Trajectory-Based Operations For Uavs Through Hexagonal Grid Indexing: A Step Towards 4d Integration Of Utm And Atm, Deepudev Sahadevan Neelakandan, Hannah Al Ali
Enhancing Trajectory-Based Operations For Uavs Through Hexagonal Grid Indexing: A Step Towards 4d Integration Of Utm And Atm, Deepudev Sahadevan Neelakandan, Hannah Al Ali
International Journal of Aviation, Aeronautics, and Aerospace
Aviation is expected to face a surge in the number of manned aircraft and drones in the coming years, making it necessary to integrate Unmanned Aircraft System Traffic Management (UTM) into Air Traffic Management (ATM) to ensure safe and efficient operations. This research proposes a novel hexagonal grid-based 4D trajectory representation framework for unmanned aerial vehicle (UAV) traffic management that overcomes the limitations of existing square/cubic trajectory representation methods. The proposed model employs a hierarchical indexing structure using hexagonal cells, enabling efficient ground based strategic conflict detection and conflict free 4D trajectory planning. Additionally, the use of Hexagonal Discrete Global …
Can The Timeframe Of Reported Uas Sightings Help Regulators?, Spencer Erik Pitcher, Kelly A. Whealan-George
Can The Timeframe Of Reported Uas Sightings Help Regulators?, Spencer Erik Pitcher, Kelly A. Whealan-George
Beyond: Undergraduate Research Journal
Remotely controlled small aircraft, otherwise known as Unmanned Aircraft Systems (UAS) or drones have started to impact the United States National Airspace System by interfering with the safe flight of aircraft. As the UAS industry continues its expected growth into the future, lawmakers, as well as regulators at the Federal Aviation Administration (FAA) and the aviation community must be able to predict when there will be more UAS craft in the air that could cause an interruption to air traffic so that more resources can be allocated optimally to counter the threat of UAS craft. The purpose of this study …