容量受限下城市对航班四维航迹优化

doi:10.7527/S1000-6893.2021.25581

Abstract

Abstract: Improvement of aircraft fuel efficiency is one of the key goals and important challenges for the transformation and development of the global air transportation system. Implementation of Trajectory-Based Operation (TBO) will play a major role in enhancing the predictability of air traffic and flight efficiency, and will also provide new means for the aircraft to save energy and reduce emission. Based on a comprehensive consideration of the influence of aircraft dynamics, available routes, sector capacity, and air traffic control on the aircraft’s operating altitude and speed, this paper proposes a multi-objective planning method for the "runway-runway" four-dimensional trajectory of the city pair with limited capacity, and adaptively improves the non-dominated sorting genetic algorithm with the elite strategy and solves the algorithm. The Shanghai Hongqiao-Beijing Capital city pair route is used as an example. The results show that with limited capacity, cooperative planning of flight paths, vertical profile and flight speed can reduce fuel consumption by up to 8.79%. The influence of the temporal and spatial characteristics of airspace congestion on the fuel efficiency of aircraft is discussed, and the pattern that how optimal solutions evolve with different locations and severity of congestion is also analyzed. This paper provides a framework for scientific allocation of city pair airspace resources with limited capacity, which will facilitate popularization and application of TBO in China.

Key words: air traffic management, trajectory-based operation, trajectory planning, fuel efficiency, demand and capacity balancing

CLC Number:

V355

XIE Hua, LI Zihong, YANG Lei, ZHU Yongwen, LIU Fangzi. Optimization of four-dimensional trajectory of city pair with limited capacity[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(8): 325581-325581.

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Optimization of four-dimensional trajectory of city pair with limited capacity

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