An optimization approach for airport slot allocation under IATA guidelines

Ribeiro, Nuno; Jacquillat, Alexandre; Antunes, António Pais; Odoni, Amedeo R.; Pita, João P.

doi:10.1016/j.trb.2018.04.005

Cited by 99 publications

(47 citation statements)

References 19 publications

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“…Various models for slot allocation have been proposed (Zografos, Salouras, and Madas 2012;Ribeiro et al 2018;Zografos and Jiang 2019). Although some of these models incorporate fairness, the fairness schemes treat all requests equally, which indirectly penalizes requests made at off-peak times.…”

Section: Introductionmentioning

confidence: 99%

A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences

Fairbrother

Zografos

Glazebrook

2020

Transportation Science

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Congestion is a problem at airports where capacity does not meet demand. At many such airports, airlines must request time slots for the purpose of landing or take off. Given the imbalance between demand and capacity, slot requests cannot always be scheduled as requested. The difference between the requested and allocated time slots is called displacement. Minimization of the total displacement is a key slot-scheduling objective and expresses the efficiency of the slot-scheduling process. Additionally, fairness has been proposed as a slot-scheduling criterion. Fairness relates to the allocation of the total schedule displacement among the various airlines. Single-and multiobjective models have been proposed for slot scheduling. However, currently the literature lacks models that incorporate the preferences of airlines regarding the allocation of displacement to their flights. This paper proposes a two-stage mechanism for the scheduling of slots at congested airports. The proposed mechanism considers efficiency and fairness objectives and incorporates the preferences of airlines in allocating the total displacement associated with the flights of each airline. The first stage of the mechanism constructs a reference schedule that is fair to the participating airlines. In the second stage, the airlines specify how the displacement allocated to them in the reference schedule should be distributed among their requests. The mechanism then adjusts the fair reference schedule to meet as many of these preferences as possible. The development and implementation of the proposed slotscheduling mechanism is demonstrated using real data from a coordinated airport and simulated displacement preference data. The proposed slot-scheduling mechanism provides useful information to decision makers regarding the equity-efficiency trade-off and enhances the transparency and acceptability of the slot-scheduling outcome.

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Section: Introductionmentioning

confidence: 99%

A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences

Fairbrother

Zografos

Glazebrook

2020

Transportation Science

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“…Nikolas Pyrgiotis (2016) established a flight time optimization model considering the existing flight schedule and airline flight time requirements, and verified the model with New York Airport as an example [7]. Nuno Antunes (2018) established a multi-target flight time optimization model based on the flight time coordination mechanism and management strategy stipulated by the International Air Transport Association, and verified the example with the Portuguese airport [8].…”

Section: Introductionmentioning

confidence: 99%

“…Formula (5) and Form (6) ensure that each flight has only one assigned flight time. Formula (7) and Formula (8) ensure that continuous flights meet the minimum and maximum transit time requirements of the airport. Form (9) and Form (10) ensure that the flow of airports and route points within each time period can't exceed the capacity limit.…”

mentioning

confidence: 99%

Study on Short-time Flight Timing Optimization of Airport Group Based on Weather Conditions

Chen¹,

Liu²,

Wang³

2019

Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

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During the execution of flight schedule, the capacity of airport and airspace is often reduced by external dynamic factors such as weather conditions and flow control, which makes it impossible to meet the flow demand of airport and airspace, resulting in flight delay. In order to better implement tactical management of air traffic flow and reduce flight delay time and delay cost, this paper considers the impact of weather conditions, and combines ground and air waiting strategies to construct a multi-objective short-term flight time optimization model based on weather conditions, and uses NSGA-II algorithm to solve it. Finally, the Yangtze River Delta Airport Group is taken as an example to verify.

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“…The need for an immediate relief to seriously congested airports calls for short to medium-term, demand-side solutions that are based on the optimum allocation and use of available airport capacity [5]. To control over-capacity scheduling, the most common demanding management schemes fall into two categories: (i) approaches introducing market-driven or pure economic instruments (e.g., slot trading, auctions, congestion pricing), which aim to allocate capacity among competing users by considering real market (or approximations of) valuations of access to congested airport facilities [6][7][8][9][10][11][12]; (ii) efforts aiming to improve the efficiency by using administrative allocation mechanism [2][3][4][5][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…This difficulty is common, as Debbage [25] has pointed out for many years, but surprisingly it has not yet been clearly integrated into any slot allocation model. Although the network-based slot allocation model has emerged in recent years [15,19], which explicitly considers the problem of flight time matching at hinge airports, it is still subject to priority constraints. It is conceivable that if a new entrant is to operate such a competitive route, the priority of his application will be less than that of other applications with grandfather rights when the application slot is limited coincidentally by capacity.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparing and Analysis for Slot Allocation Model

Bai

et al. 2019

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The purpose of this study is to ascertain whether implementation difficulty can be used in a slot allocation model as a new mechanism for slightly weakening grandfather rights; according to which, a linear integer programming model is designed to compare and analyze displacement, implementation difficulty and priority with different weights. Test results show that the implementation difficulty can be significantly reduced without causing excessive displacement and disruption of existing priorities, by weight setting while declared capacity is cleared. In addition to this, whether the movements are listed in order of descending priority or not have great impact on displacement and implementation difficulty within the slot allocation model. Capacity is surely a key factor affecting displacement and implementation difficulties. This study contributes to propose a new mechanism for slightly weakening grandfather right, which can help decision makers to upgrade slot allocation policies.

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An optimization approach for airport slot allocation under IATA guidelines

Cited by 99 publications

References 19 publications

A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences

A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences

Study on Short-time Flight Timing Optimization of Airport Group Based on Weather Conditions

Performance Comparing and Analysis for Slot Allocation Model

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