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Dynamic airspace sectorisation for flight-centric operations
Institution:1. Department of Civil and Environmental Engineering, University of Alberta, Canada;2. Department of Civil and Environmental Engineering, University of California, Berkeley, United States;1. Beijing Key Laboratory of Transportation Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China;2. College of Urban Construction, Hebei Normal University of Science and Technology, 360 Western Section of Hebei Avenue, Haigang District, Qinhuangdao, Hebei 066004, China;3. Institute of Industrial Science, The University of Tokyo, Komaba 4-6-1, Meguro-ku, Tokyo 153-8505, Japan;4. Graduate School of Information Sciences, Tohoku University, Aramaki Aoba 6-3-09, Aoba-ku, Sendai, Miyagi 980-8579, Japan;5. Graduate School of Engineering, Tohoku University, Aramaki Aoba 6-6, Aoba-ku, Sendai, Miyagi 980-8579, Japan;1. Smart City College, Beijing Union University, China;2. School of Electronics and Information Engineering, Beihang University, China;3. School of Engineering and Information Technology, University of New South Wales, Australia;1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, PR China;2. National Key Laboratory of Air Traffic Flow Management, Nanjing 210016, PR China;3. Department of Civil and Environmental Engineering, Imperial College London, SW7 2BU, UK;1. School of Transportation Science and Technology, Harbin Institute of Technology, Harbin 150001, China;2. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China;3. Ground Support Equipment Research Base, Civil Aviation University of China, Tianjin 300300, China
Abstract:Today’s air traffic operations follow the paradigm of ‘flow follows structure’, which already limits the operational efficiency and punctuality of current air traffic movements. Therefore, we introduce the dynamic airspace sectorisation and consequently change this paradigm to the more appropriate approach of ‘structure follows flow’. The dynamic airspace sectorisation allows an efficient allocation of scarce resources considering operational, economic and ecological constraints in both nominal and variable air traffic conditions. Our approach clusters traffic patterns and uses evolutionary algorithms for optimisation of the airspace, focusing on high capacity utilisation through flexible use of airspace, appropriate distribution of task load for air traffic controllers and fast adaptation to changed operational constraints. We thereby offer a solution for handling non-convex airspace boundaries and provide a proof of concept using current operational airspace structures and enabling a flight-centric air traffic management. We are confident that our developed dynamic airspace sectorisation significantly contributes to the challenges of future airspace by providing appropriate structures for future 4D aircraft trajectories taking into account various operational aspects of air traffic such as temporally restricted areas, limited capacities, zones of convective weather or urban air mobility. Dynamic sectorisation is a key enabling technology in the achievement of the ambitious goals of Single European Sky and Flightpath 2050 through a reduction in coordination efforts, efficient resource allocation, reduced aircraft emissions, fewer detours, and minimisation of air traffic delays.
Keywords:Airspace  Dynamic sectorisation  Controller task load  Evolutionary algorithm  Clustering
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