A fuzzy approach to addressing uncertainty in Airport Ground Movement optimisation

Brownlee, Alexander E. I.; Weiszer, Michal; Chen, Jun; Ravizza, Stefan; Woodward, John R.; Burke, Edmund K.

doi:10.1016/j.trc.2018.04.020

Cited by 50 publications

(36 citation statements)

References 60 publications

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“…Using fuzzy sets, one can model characteristics of obscurity and approximate under uncertain conditions. In transportation studies, fuzzy sets were applied in different domains including optimization [77], sentiment analysis [78], traffic flow modeling [79] and, safe transportation [80]. Also, it was conducted for business efficiency [81], e-learning [82], seismic vulnerability assessment [83], information technology governance evaluation [84], and supplier evaluation [85].…”

Section: Methodsmentioning

confidence: 99%

Convergence or Divergence among Business Models of Public Bus Transport Authorities across the Globe: A Fuzzy Approach

Buran

Erçek

2021

Sustainability

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Building on the debate about global convergence or divergence of practices, this study aims to query the viability of a new strategic action tool specifically geared to the interests of public bus transportation authorities (PBTA) around the globe and explore the degree of homogeneity in their responses as well as the possible drivers of them. To answer its research question, the study first offers a generic business model design for a PBTA, which integrates an extended version of the business model canvas with external environmental factors in order to enhance its sustainability. Subsequently, the importance attributions of international transportation experts to different model components are evaluated by using the Spherical Fuzzy AHP method. The model is developed in three hierarchical layers and evaluated by experts from four continents: America, Asia, Australia, and Europe. The results indicate that the expert opinions tend to converge more on the internal components of the model and diverge on the external components, especially regarding economic and technological factors. A strategic response action set is also designed to facilitate the adoption of the model by PBTA. The study not only extends the research on the strategic management of the public bus transportation domain but also contributes to the convergence and divergence debate by offering a reconciliatory duality perspective.

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Section: Methodsmentioning

confidence: 99%

Convergence or Divergence among Business Models of Public Bus Transport Authorities across the Globe: A Fuzzy Approach

Buran

Erçek

2021

Sustainability

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“…This work aims to maintain the solvability of the complicated surface taxiing problem in airports with consideration given to many mutual conflicts. Brownleea et al [35] proposed a method to estimate the uncertainty of aircraft surface taxiing time based on an adaptive Mamdani fuzzy rule. These authors also improved the time window algorithm for the existing fastest route problems to estimate the fuzzy taxiing time.…”

Section: Multi-objective Optimization Methods Of Taxiing Time Fuel Comentioning

confidence: 99%

Multi-Objective Optimization of Aircraft Taxiing on the Airport Surface with Consideration to Taxiing Conflicts and the Airport Environment

et al. 2019

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High-efficiency taxiing for safe operations is needed by all types of aircraft in busy airports to reduce congestion and lessen fuel consumption and carbon emissions. This task is a challenge in the operation and control of the airport’s surface. Previous studies on the optimization of aircraft taxiing on airport surfaces have rarely integrated waiting constraints on the taxiway into the multi-objective optimization of taxiing time and fuel emissions. Such studies also rarely combine changes to the airport’s environment (such as airport elevation, field pressure, temperature, etc.) with the multi-objective optimization of aircraft surface taxiing. In this study, a multi-objective optimization method for aircraft taxiing on an airport surface based on the airport’s environment and traffic conflicts is proposed. This study aims to achieve a Pareto optimized taxiing scheme in terms of taxiing time, fuel consumption, and pollutant emissions. This research has the following contents: (1) Previous calculations of aircraft taxiing pathways on the airport’s surface have been based on unimpeded aircraft taxiing. Waiting on the taxiway is excluded from the multi-objective optimization of taxiing time and fuel emissions. In this study, the waiting points were selected, and the speed curve was optimized. A multi-objective optimization scheme under aircraft taxiing obstacles was thus established. (2) On this basis, the fuel flow of different aircraft engines was modified with consideration to the aforementioned environmental airport differences, and a multi-objective optimization scheme for aircraft taxiing under different operating environments was also established. (3) A multi-objective optimization of the taxiing time and fuel consumption of different aircraft types was realized by acquiring their parameters and fuel consumption indexes. A case study based on the Shanghai Pudong International Airport was also performed in the present study. The taxiway from the 35R runway to the 551# stand in the Shanghai Pudong International Airport was optimized by the non-dominant sorting genetic algorithm II (NSGA-II). The taxiing time, fuel consumption, and pollutant emissions at this airport were compared with those of the Kunming Changshui International Airport and Lhasa Gonggar International Airport, which have different airport environments. Our research conclusions will provide the operations and control departments of airports a reference to determine optimal taxiing schemes.

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“…Weiszer and Chen [41] realized a multi-objective study on taxiing time and fuel consumption by combining the scheduling routing and speed profile optimization. Brownlee et al [42] proposed an adaptive Mamdani fuzzy rule-based system to address the multi-objective shortest route problem for aircraft taxiing and increased the operating efficiency of route planning by combining the Quickest Path Problem with Time Window (QPPTW) algorithm.…”

Section: A Route Planning For Surface Taxiingmentioning

confidence: 99%

Multi-Objective Route Planning for Aircraft Taxiing Under Different Traffic Conflict Types

Zhang

Liu

2022

Journal of Aerospace Information Systems

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A fuzzy approach to addressing uncertainty in Airport Ground Movement optimisation

Cited by 50 publications

References 60 publications

Convergence or Divergence among Business Models of Public Bus Transport Authorities across the Globe: A Fuzzy Approach

Convergence or Divergence among Business Models of Public Bus Transport Authorities across the Globe: A Fuzzy Approach

Multi-Objective Optimization of Aircraft Taxiing on the Airport Surface with Consideration to Taxiing Conflicts and the Airport Environment

Multi-Objective Route Planning for Aircraft Taxiing Under Different Traffic Conflict Types

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