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| Arrival Aircraft Sequencing Based on Multi-subject Expectations |
| BAI Peng1, LIU Nan1, CHEN Yanzhou2, CHEN Linfeng3, QIU Donglin1, WANG Xuan4
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1. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China;
2. AVIC Chengfei Civil Aircraft Company Limited, Chengdu 610091, China;
3. Leihua Electronic Technology Institute, AVIC, Wuxi 214063, China;
4. Hangda Data Company Limited, Tianjin 300300, China |
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Abstract In order to alleviate the problems of inefficient landing schedules, elevated operation costs of aircraft, and inadequate attention to passenger satisfaction, considering the expectations of multiple stakeholders, including air traffic control, airports, airlines and passengers, the concept of passenger expected time satisfaction is proposed. A model of arrival aircraft sequencing grounded in multi-stakeholder requirements is established, which aims at minimizing fuel consumption and delay time while maximizing the passenger expectation time satisfaction, and vortex wake separation standards, max position shift and point merge system airspace structure as constraints. The elite-preserved non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) is selected to solve it. Based on the data of actual airspace environment and the historical data of actual aircraft, the airspace structure of point merge system is designed as the simulation environment, the simulation experiment is conducted across three different types of air traffic flow. The results show that compared with the First-Come, First-Served (FCFS) model, under the three types of air traffic flow, the passenger satisfaction metrics are increased by 48.47% on average, the delay time is reduced by 59.37% on average, and the operating costs are reduced by 0.94% on average, verifying the effectiveness of the proposed model.
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Published: 15 September 2026
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