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Bi‑level Programming Model for Joint Scheduling of Arrival and Departure Flights Based on Traffic Scenario.

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Titel: Bi‑level Programming Model for Joint Scheduling of Arrival and Departure Flights Based on Traffic Scenario.
Autoren: JIANG Hao, LIU Jixin, ZHOU Wenshen
Quelle: Transactions of Nanjing University of Aeronautics & Astronautics; Aug2021, Vol. 38 Issue 4, p671-684, 14p
Schlagwörter: AIR traffic control, RUNWAYS (Aeronautics), SCHEDULING, MATHEMATICAL models, GENETIC algorithms
Abstract: In order to meet the needs of collaborative decision making, considering the different demands of air traffic control units,a irlines, airports and passengers in various traffic scenarios, the joint scheduling problem of arrival and departure flights is studied systematically. According to the matching degree of capacity and flow, it is determined that the traffic state of arrival / departure operation in a certain period is peak or off-peak. The demands of all parties in each traffic state are analyzed, and the mathematical models of arrival / departure flight scheduling in each traffic state are established. Aiming at the four kinds of joint operation traffic scenarios of arrival and departure, the corresponding bi-level programming models for joint scheduling of arrival and departure flights are established，respectively, and the elitism genetic algorithm is designed to solve the models. The results show that：Compared with the first-come-firstserved method, in the scenarios of arrival peak & departure off-peak and arrival peak & departure peak, the departure flight equilibrium satisfaction is improved,a nd the runway occupation time of departure flight flow is reduced by 38.8%. In the scenarios of arrival off-peak & departure off-peak and departure peak & arrival off-peak, the arrival flight equilibrium delay time is significantly reduced, the departure flight equilibrium satisfaction is improved by 77.6%,a nd the runway occupation time of departure flight flow is reduced by 46.6%. Compared with other four kinds of strategies, the optimal scheduling method can better balance fairness and efficiency, so the scheduling results are more reasonable. [ABSTRACT FROM AUTHOR]
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Datenbank: Complementary Index
Beschreibung
Abstract:In order to meet the needs of collaborative decision making, considering the different demands of air traffic control units,a irlines, airports and passengers in various traffic scenarios, the joint scheduling problem of arrival and departure flights is studied systematically. According to the matching degree of capacity and flow, it is determined that the traffic state of arrival / departure operation in a certain period is peak or off-peak. The demands of all parties in each traffic state are analyzed, and the mathematical models of arrival / departure flight scheduling in each traffic state are established. Aiming at the four kinds of joint operation traffic scenarios of arrival and departure, the corresponding bi-level programming models for joint scheduling of arrival and departure flights are established，respectively, and the elitism genetic algorithm is designed to solve the models. The results show that：Compared with the first-come-firstserved method, in the scenarios of arrival peak & departure off-peak and arrival peak & departure peak, the departure flight equilibrium satisfaction is improved,a nd the runway occupation time of departure flight flow is reduced by 38.8%. In the scenarios of arrival off-peak & departure off-peak and departure peak & arrival off-peak, the arrival flight equilibrium delay time is significantly reduced, the departure flight equilibrium satisfaction is improved by 77.6%,a nd the runway occupation time of departure flight flow is reduced by 46.6%. Compared with other four kinds of strategies, the optimal scheduling method can better balance fairness and efficiency, so the scheduling results are more reasonable. [ABSTRACT FROM AUTHOR]
ISSN:10051120
DOI:10.16356/j.1005⁃1120.2021.04.013