Operating cost sensitivity to required time of arrival commands to ensure separation in optimal aircraft 4D trajectories |
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| Institution: | 1. Department of Civil and Urban Engineering, New York University, Six Metrotech Center, 4th Floor, Brooklyn, NY 11201, USA;1. School of Management, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, PR China;2. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;3. College of Computer Science, Inner Mongolia University, Hohhot 010021, PR China;1. Interdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region;2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore;3. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China |
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| Abstract: | Trajectory optimisation has shown good potential to reduce environmental impact in aviation. However, a recurring problem is the loss in airspace capacity that fuel optimal procedures pose, usually overcome with speed, altitude or heading advisories that lead to more costly trajectories. This paper aims at the quantification in terms of fuel and time consumption of implementing suboptimal trajectories in a 4D trajectory context that use required times of arrival at specific navigation fixes. A case study is presented by simulating conflicting Airbus A320 departures from two major airports in Catalonia. It is shown how requiring an aircraft to arrive at a waypoint early or late leads to increased fuel burn. In addition, the efficiency of such methods to resolve air traffic conflicts is studied in terms of both fuel burn and resulting aircraft separations. Finally, various scenarios are studied reflecting various airline preferences with regards to cost and fuel burn, as well as different route and conflict geometries for a broader scope of study. |
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| Keywords: | Air traffic management Trajectory optimisation Air traffic efficiency Cost index Trajectory based operations Conflict resolution |
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