Criteria selection and multi-objective optimization of aircraft landing problem

Zhang, Junfeng; Zhao, Pengli; Dai, Ximei; Sui, Dong

doi:10.1016/j.jairtraman.2019.101734

Cited by 30 publications

(26 citation statements)

References 34 publications

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“…The theoretical core of the AMAN is aircraft landing problem (ALP) [5], which has been studied extensively as one of the typical problems of resource allocation in operations research. The main concerns of ALP mainly include calculation environments, solution algorithms, and optimisation objectives [6]. Regarding calculation environments, some studies set the problem scenarios to static [5] and others were carried out in a dynamic context [7].…”

Section: Previous Research On Amanmentioning

confidence: 99%

Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories

Liu

Zhang

Peng

et al. 2021

PROMET

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The arrival management (AMAN) system is a decision support tool for air traffic controllers to establish and maintain the landing sequence for arrival aircraft. The original intention of designing the AMAN system is to improve the efficiency of air traffic management (ATM), but few studies are investigating the operational benefits of this system based on key performance indicators (KPIs) and evaluating actual data in a real-time environment. The main purpose of this paper is to propose a KPI based transferable comparative analysis method for identifying the operational benefits of the AMAN through radar trajectories. Firstly, six KPIs are established from a joint study of the mainstream ATM performance frameworks worldwide. Secondly, appropriate evaluation technique approaches are determined according to the characteristics of each KPI. Finally, a Chinese metropolitan airport is taken for the case study, and three periods are defined to form data samples with high similarity for comparative experiments. The results validate the feasibility of the proposed method and find comprehensive performance improvements in arrival operations under the effects of the AMAN system.

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Section: Previous Research On Amanmentioning

confidence: 99%

Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories

Liu

Zhang

Peng

et al. 2021

PROMET

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“…Aircraft selection offers complex objectives that do not allow the decision-making approach to use only one variable [1][2][3][4][5]. Among other reasons, a multi-criteria approach becomes necessary when the number of objectives to be met is greater than or equal to two, and they are contradictory [6].…”

Section: Introductionmentioning

confidence: 99%

An Extended Single-Valued Neutrosophic Ahp and Multimoora Method to Evaluate the Optimal Training Aircraft for Flight Training Organizations

Karamaşa

Karabašević²,

Stanujkić³

et al. 2021

FU Mech Eng

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Aircraft’s training is crucial for a flight training organization (FTO). Therefore, an important decision that these organizations should wisely consider the choice of aircraft to be bought among many alternatives. The criteria for evaluating the optimal training aircraft for FTOs are collected based on the survey approach. Single valued neutrosophic sets (SVNS) have the degree of truth, indeterminacy, and falsity membership functions and, as a special case, neutrosophic sets (NS) deal with inconsistent environments. In this regard, this study has extended a single-valued neutrosophic analytic hierarchy process (AHP) based on multi-objective optimization on the basis of ratio analysis plus a full multiplicative form (MULTIMOORA) to rank the training aircraft as the alternatives. Moreover, a sensitivity analysis is performed to demonstrate the stability of the developed method. Finally, a comparison between the results of the developed approach and the existing approaches for validating the developed approach is discussed. This analysis shows that the proposed approach is efficient and with the other methods.

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“…The comprehensive reviews about the ASSP are given in Bianco et al (2006), Bennell et al (2011) and Zhang et al (2019). Several PMS studies have been also presented.…”

Section: Introductionmentioning

confidence: 99%

“…They compared the results of the proposed model with the first come first serve (FCFS) and the results demonstrate that there is a significant improvement in both objective values. Zhang et al (2019) proposed a multi-objective optimization model using a multi-criteria approach. They adopted different criteria for this problem, namely, maximum completion time, maximum flow time, maximum tardiness time, total completion time and total flow time.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective TMA management optimization using the point merge system

Çeçen

2020

AEAT

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Purpose The purpose of this study is to provide conflict-free operations in terminal manoeuvre areas (TMA) using the point merge system (PMS), airspeed reduction (ASR) and ground holding (GH) techniques. The objective is to minimize both total aircraft delay (TD) and the total number of the conflict resolution manoeuvres (CRM). Design/methodology/approach The mixed integer linear programming (MILP) is used for both single and multi-objective optimization approaches to solve aircraft sequencing and scheduling problem (ASSP). Compromise programming and ε-constraint methods were included in the methodology. The results of the single objective optimization approach results were compared with baseline results, which were obtained using the first come first serve approach, in terms of the total number of the CRM, TD, the number of aircraft using PMS manoeuvres, ASR manoeuvres, GH manoeuvres, departure time updates and on-time performance. Findings The proposed single-objective optimization approach reduced both the CRM and TD considerably. For the traffic flow rates of 15, 20 and 25 aircraft, the improvement of CRM was 53.08%, 41.12% and 32.6%, the enhancement of TD was 54.2%, 48.8% and 31.06% and the average number of Pareto-optimal solutions were 1.26, 2.22 and 3.87, respectively. The multi-objective optimization approach also exposed the relationship between the TD and the total number of CRM. Practical implications The proposed mathematical model can be implemented considering the objectives of air traffic controllers (ATCOs) and airlines operators. Also, the mathematical model is able to create conflict-free TMA operations and, therefore, it brings an opportunity for ATCOs to reduce frequency occupancy time. Originality/value The mathematical model presents the total number of CRM as an objective function in the ASSP using the MILP approach. The mathematical model integrates ATCOs’ and airline operators’ perspective together with new objective functions.

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Criteria selection and multi-objective optimization of aircraft landing problem

Cited by 30 publications

References 34 publications

Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories

Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories

An Extended Single-Valued Neutrosophic Ahp and Multimoora Method to Evaluate the Optimal Training Aircraft for Flight Training Organizations

Multi-objective TMA management optimization using the point merge system

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