Optimization of departure runway scheduling incorporating arrival crossings

Ma, Ji; Sbihi, Mohammed; Delahaye, Daniel

doi:10.1111/itor.12657

Cited by 14 publications

(10 citation statements)

References 22 publications

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“…A robust optimization approach is also proposed for metering aircraft departures, which considers uncertainty in the taxi-out process and reduces runway delays and taxi-out times (15). Other studies present various mathematical models and algorithms for optimizing arrival, departure, and surface operations at airports, to reduce gate waiting times, fuel burn, emissions, and taxiing distances (16)(17)(18)(19)(20)(21). Experimental results comparing traditional tower control decisions with optimizationbased decisions show significant improvements in punctuality and reductions in taxi times (22).…”

Section: Literaturementioning

confidence: 99%

“…Zheng et al also confirmed the savings of optimization approaches compared with the traditional techniques considering the departure sequencing problem ( 23 ). In another study, considering Paris Charles De Gaulle Airport as a case, results showed that significant improvements over the first-come-first-served method and feasibility for real-time use of proposed sequences may be obtained by using the optimization algorithms ( 24 ).…”

Section: Literaturementioning

confidence: 99%

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Evaluation of the Trade-Off between Ground Delays and Intersecting Departures under Various Pilot Acceptance Rate Scenarios

Dönmez

2023

Transportation Research Record: Journal of the Transportation R

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The increasing demand for air traffic at airports necessitates the efficient utilization of ground facilities such as runways and taxiways. Intersecting departures, in which one or more aircraft take off from intersecting points on the runway, is a commonly used approach to increase runway capacity and reduce ground delays and taxi times, as well as noise and air pollution. However, the procedure carries potential risks such as runway incursion and excursion. This creates a trade-off between minimizing the number of intersecting departures and minimizing ground delays. In practice, the decision to perform an intersecting departure is ultimately up to the pilot, resulting in uncertainty in the acceptance rate of these types of takeoffs. In this study, a departure sequencing model was developed for a single-runway airport that considers intersecting departures and various pilot acceptance rate scenarios. The primary objective of the model is to minimize total ground delay, including taxi delays, runway holds, and conflict holds. The secondary objective is to minimize the number of intersecting departures by directing the most operationally critical aircraft to the intersection takeoff. The epsilon constraint method—a multi-objective scalarization method—was used to reveal the trade-offs between the objective functions. The results of the model were compared with a traditional scenario that only allows take offs from the beginning of the runway. As a result, average delay savings ranged from 17.1% to 31.5% in various acceptance rate scenarios, as well as average taxi time savings ranging from 4.9% to 8.4% compared with the traditional scenario.

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Section: Literaturementioning

confidence: 99%

Section: Literaturementioning

confidence: 99%

Evaluation of the Trade-Off between Ground Delays and Intersecting Departures under Various Pilot Acceptance Rate Scenarios

Dönmez

2023

Transportation Research Record: Journal of the Transportation R

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“…First of all, in accordance with Equation (10), the amount of fuel used by aircraft during flights should be calculated:…”

Section: Solutionmentioning

confidence: 99%

“…The collection of publications that define it as the minimum value of the objective function includes, for example, the works of [4][5][6]. In other studies, the authors proposed to shorten the time [7] of delivery of perishables [8], reduction in empty cargo runs [9], optimization of the departure schedule while taking into account arrival intersections [10], selection of an optimal investment variant [11], cost minimization of transport [12] supply chain [13], product lifecycle [14], the choice of a logistics operator [15], estimation of aircraft fuel consumption [16], or the number of vehicles supplying aviation fuel to aircraft during flights [17]. The set of publications with the objective function defined as the maximum is slightly more modest.…”

Section: Introductionmentioning

confidence: 99%

Method for Calculating the Required Number of Transport Vehicles Supplying Aviation Fuel to Aircraft during Combat Tasks

et al. 2022

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During aircraft flights, combat readiness and the supply system affecting it are essential issues. The basic items of supply during the implementation of tasks are combat assets and aviation fuel. Effective management of the flow of required products, as well as the reliability of vehicles and the availability of crews contribute to the quality of task performance. The components that make up this quality in military operations are measured by readiness. In real-life operations, the number of vehicles supplying aircraft with aviation fuel is determined for safety and reliability with an surplus related to the number of flight support facilities. This paper develops a method for determining the minimum number of vehicles required to supply aircraft (sp) with aviation fuels. The developed method was verified by a numerical example illustrating its application in practice. Additionally, a detailed analysis of its application was carried out in relation to potentially 50 possible scenarios of combat task execution, with a number of assumptions fulfilled. Based on the performed calculations, it was concluded that the number of vehicles required for sp fuel supply depends on several factors: the number of aircraft, the characteristics of air tasks (flight length and frequency of departures), as well as the time of clean sp refuelling and the duration of the vehicle-tanker refuelling cycle.

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“…Scholars on the issue of runway sequencing for approach and departure flights have carried out some preliminary research. The research on the ARSP model has gradually matured [1], whose theory research tends to be complicated [2], and the number of model constraints are increasing [3]. The complex ARSP model places greater demands on the algorithm's efficiency, and many scientific papers have described improvements in the efficiency of ARSP-solving algorithms.…”

Section: Introductionmentioning

confidence: 99%

Estimation Distributed Algorithm to Aid Aircraft Runway Scheduling Problem

Liu

2023

J. Phys.: Conf. Ser.

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In this paper, we proposed a runway sequencing and optimal scheduling method. This includes constructing a flight sequencing model to minimize design delay time for arrival and departure flights and designing flight sequencing rules to obtain large-scale feasible runway usage sequences efficiently. Furthermore, a Kendall-τ distance-based Mallows model is constructed based on the obtained flight sequences. An Estimation Distributed Algorithm (EDA) is used to assign each flight a runway usage time that meets the constraint so that the total delay time is minimized. Finally, it is verified that the method can not only reduce the total delay time of the flight as a whole but also has significant performance and is highly implementable through the analysis of calculation cases.

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Optimization of departure runway scheduling incorporating arrival crossings

Cited by 14 publications

References 22 publications

Evaluation of the Trade-Off between Ground Delays and Intersecting Departures under Various Pilot Acceptance Rate Scenarios

Evaluation of the Trade-Off between Ground Delays and Intersecting Departures under Various Pilot Acceptance Rate Scenarios

Method for Calculating the Required Number of Transport Vehicles Supplying Aviation Fuel to Aircraft during Combat Tasks

Estimation Distributed Algorithm to Aid Aircraft Runway Scheduling Problem

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