Modelling and solving the airport slot-scheduling problem with multi-objective, multi-level considerations

Katsigiannis, Fotios A.; Zografos, Konstantinos G.; Fairbrother, Jamie

doi:10.1016/j.trc.2020.102914

Cited by 32 publications

(7 citation statements)

References 21 publications

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“…Thus, Katsigiannis and Zografos [12] proposed a modeling framework that considers the preferences of the airlines and integration under constraints. Moreover, they suggested the advanced Tri-Objective Slot Allocation Model (TOSAM) [13], which considers the total and maximum duration of the project and equity based on demand, introducing a multi-level and multi-objective algorithm. Another method involves the development of strategic initiatives that airlines and civil aviation authorities could undertake on different time horizons, from strategic planning to real-time interventions [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Airport Runway Capacity and Sustainability through the Introduction of Rapid Exit Taxiways: A Case Study

Maltinti,

Flore,

Pigozzi

et al. 2024

Sustainability

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This contribution arises from the need to respond to the increased air demand of an airport with a sustainable approach that minimizes the land consumption of new runways and reduces the fuel burn and emissions associated with aircraft. A new methodology is presented for designing Rapid Exit Taxiways (RETs), which is applied in improving the runway capacity of Costa Smeralda Airport following both the International Civil Aviation Organization (ICAO) and the Federal Aviation Administration (FAA) guidelines. The optimal scenario resulted from a combination of these guidelines. Using this new approach, it is demonstrated that, through both the introduction of RETs and their positioning along the runway, the hourly capacity of the runway can effectively be improved, consequently enhancing the airport capacity and reducing the runway occupancy time and thus fuel burn and emissions. Moreover, the presence of RETs increases the infrastructure resilience, since airplanes can clear the runway faster in case of flooding in risk areas.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing Airport Runway Capacity and Sustainability through the Introduction of Rapid Exit Taxiways: A Case Study

Maltinti,

Flore,

Pigozzi

et al. 2024

Sustainability

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“…From the analysis of current papers published in the aeronautical world, the vast majority of them deal with the problem of finding a time allocation vector in such a way that it satisfies certain criteria that minimize the possible joint negative impacts on the problem stakeholders. In general terms, it is known as “Strategic Airport Slot Allocation” (Katsigiannis et al, 2020).…”

Section: State Of the Artmentioning

confidence: 99%

“…It is this condition that makes models with large numbers of variables practically unsolvable without high computing capacities. There are two main programs used for solving these linear programming approaches: IBM ILOG CPLEX Optimization Studio (Androutsopoulois et al, 2020; Lohatepanont & Barnhart, 2004; Ribeiro et al, 2018; Wei et al, 2020) and Gurobi Optimizer (Gomez Miguel, 2019; Katsigiannis et al, 2020; Katsigiannis & Zografos, 2021). Apart from this work scheme, there are very few works that use other approaches, such as GAs (Abdelghany & Abdelghany, 2017) to deal with the slot allocation problem.…”

Section: State Of the Artmentioning

confidence: 99%

Airport take‐off and landing optimization through genetic algorithms

Guedan‐Pecker,

Ramirez‐Atencia

2024

Expert Systems

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This research addresses the crucial issue of pollution from aircraft operations, focusing on optimizing both gate allocation and runway scheduling simultaneously, a novel approach not previously explored. The study presents an innovative genetic algorithm‐based method for minimizing pollution from fuel combustion during aircraft take‐off and landing at airports. This algorithm uniquely integrates the optimization of both landing gates and take‐off/landing runways, considering the correlation between engine operation time and pollutant levels. The approach employs advanced constraint handling techniques to manage the intricate time and resource limitations inherent in airport operations. Additionally, the study conducts a thorough sensitivity analysis of the model, with a particular emphasis on the mutation factor and the type of penalty function, to fine‐tune the optimization process. This dual‐focus optimization strategy represents a significant advancement in reducing environmental impact in the aviation sector, establishing a new standard for comprehensive and efficient airport operation management.

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“…Katsigiannis proposed a new three-objective slot distribution model (TOSAM) in order to fill the blank of the existing literature. e model considers the total schedule deviation, the maximum schedule deviation, and demandbased fairness and introduces a multilevel, multiobjective algorithm to solve this problem [40].…”

Section: Literature Reviewmentioning

confidence: 99%

A Collaborative Optimization Method of Flight Slots Considering Fairness Among Airports

Tan

Wang

Zeng

et al. 2022

Mathematical Problems in Engineering

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With the rapid development of civil aviation transportation, an increasing number of airport groups are formed. However, the existing literature on fairness mostly focuses on the fairness among airlines. There is no research on the realization of scheduling fairness among airports with overlapping resources in the airport group. The goal of this paper is to comprehensively consider efficiency and fairness in slot scheduling, where fairness should include both interairline and interairport fairness. Subsequently, we developed a collaborative optimization model for airport group that takes into account the above three objectives and then uses the ε-constraint method to solve it. In addition to considering the basic operational constraints of the airport, the model also sets different adjustment boundaries to achieve the scheduling priorities specified by IATA. Applying the model to the Yangtze River Delta airport group, the results show that improved flight schedules can significantly reduce flight congestion, and a relatively fair scheduling result can be obtained by weighing airlines’ fairness and airports’ fairness. The model can improve the transparency of slot scheduling decisions and can be used as an auxiliary tool to help make slot scheduling decisions.

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Modelling and solving the airport slot-scheduling problem with multi-objective, multi-level considerations

Cited by 32 publications

References 21 publications

Optimizing Airport Runway Capacity and Sustainability through the Introduction of Rapid Exit Taxiways: A Case Study

Optimizing Airport Runway Capacity and Sustainability through the Introduction of Rapid Exit Taxiways: A Case Study

Airport take‐off and landing optimization through genetic algorithms

A Collaborative Optimization Method of Flight Slots Considering Fairness Among Airports

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