A framework for the optimization of terminal airspace operations in Multi-Airport Systems

Sidiropoulos, Stavros; Majumdar, Arnab; Han, Ke

doi:10.1016/j.trb.2018.02.010

Cited by 30 publications

(13 citation statements)

References 36 publications

(54 reference statements)

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“…The goal is to reduce delay, fuel burn, and controller workload compared to the status quo. This involves (1) the temporo-spatial characterization and clustering of dynamic traffic demand; (2) the prioritization of flight groups in case of conflict; and (3) the design of 3-D routes following a multi-objective optimization problem (see [12]). Figure 4.3 illustrates such a framework with design parameters !…”

Section: Air Traffic Control In Terminal Manoeuvring Areasmentioning

confidence: 99%

“…The goal is to reduce delay, fuel consumption, and controller workload as compared with the status quo. Doing this involves (a) the temporospatial characterization and clustering of dynamic traffic demand, (b) the prioritization of flight groups in case of conflict, and (c) the design of three-dimensional routes by means of a multiobjective optimization problem (12). Figure 9 illustrates such a framework with design parameters u 1 , u 2 , and u 3 , which may be deployed on a pretactical level (e.g., 24 h in advance) or operational level (e.g., up to 2 h in advance).…”

Section: Air Traffic Control In Terminal Maneuvering Areasmentioning

confidence: 99%

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Framework for Real-Time Traffic Management with Case Studies

Han

2017

Transportation Research Record

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This paper focuses on real-time traffic management facilitated by modern telecommunication technologies and advanced real-time optimization algorithms. The discussion begins with a recent European project, which provides a real-time decision support system for the reduction of traffic congestion and emissions. The workflow and techniques involved therein are explained, with issues and potential gaps identified. We then introduce a more generic real-time decision-making framework based on decision rules and distributionally robust optimization. We illustrate the wide applicability and unique advantages of such a framework with several case studies in responsive signal control, adaptive variable message sign, and air traffic management.

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Section: Air Traffic Control In Terminal Manoeuvring Areasmentioning

confidence: 99%

Section: Air Traffic Control In Terminal Maneuvering Areasmentioning

confidence: 99%

Framework for Real-Time Traffic Management with Case Studies

Han

2017

Transportation Research Record

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“…The air transportation industry in Indonesia has expanded significantly to meet the community's transportation demands. Every year, a rising number of individuals travel by airplane [1]. The rising number of individuals who prefer to travel by airplane is not without cause, as aircraft are the most convenient and quickest method of transportation to reach their destinations.…”

Section: Introductionmentioning

confidence: 99%

Multi-Airport System Development Model: Case Study of Airports in Indonesia

Adisasmita

Caroles

2022

Civ Eng J

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Indonesia's air transportation business has grown substantially to suit the community's transportation needs. An increasing number of people travel by airline each year. By way of secondary and tertiary multiplier effects, the intensifying competition between airport services provided in neighboring regions is likely to have a multiplier influence on a territory. Simultaneously, airport services that are more competitive are focused on areas with rising economic growth in sectors like tourism. MAS is an airport system consisting of at least two airports within a metropolitan area that support civil aviation. MAS includes both big and small airports. MAS is the development of an air transportation system to suit the growing demand for air transportation services. As an example of an integrated multi-model airport design in Indonesia, this research will examine Juanda International Airport, Surabaya, as the major airport and Abdul Rachman Saleh Airport as the secondary airport. In order to establish an integrated multi-modal airport in Indonesia, it is necessary to adopt a multi-airport system. This study's airport location is in East Java Province and includes two airports: Juanda International Airport and Abdul Rachman Saleh Airport. The Juanda International Airport is situated in Sedati, Sidoarjo, whilst the Abdul Rachman Saleh Airport is in Pakis, Malang Regency. Using modelling findings and final passenger statistics, airport capacity in 2045 is determined. The results demonstrated the necessity for more comprehensive points in the MADAM simulation used in this research study, which can estimate a number of crucial parameters. Doi: 10.28991/CEJ-SP2021-07-013 Full Text: PDF

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“…Stavros Sidiropoulos et al [6] studied the air traffic flow patterns in Multi-Airport Systems (MAS) using spatial-temporal clustering, by with a focusing the inbound and outbound passages of air traffic on a pre-defined terminal airspace boundary. Their work was followed by a study on the optimization of terminal airspace operations in MAS [7]. Mayara Condé Rocha Murc ¸a et al [8] also used clustering technique to study the traffic flow patterns in MAS, in order to enhance Air Traffic Flow Management (ATFM) in the terminal area by predicting the traffic demand and capacity in the following hours.…”

Section: Introductionmentioning

confidence: 99%

Accessibility Analysis of Unmanned Aerial Vehicles Near Airports with a Four-Dimensional Airspace Management Concept

Dai

Pang

Low

2020

2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)

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The demand for UAS operations is increasing in recent years, as well as the traffic volume of civil aviation. The operations of both traffic modules are based on the utilization of airspace resources. Currently Unmanned Aircraft Systems (UAS) are not allowed to operate close to airports, where potential conflicts between UAS and manned aircraft may happen. This rule is constraining the application of UAS. Therefore, it is necessary to study the current airspace utilization pattern near airports, before the boundary determination of UAS operation to allow the UAS accessing airspace safely without conflicts. In this paper, a data-driven analysis on historical trajectories at Changi Airport in Singapore was carried out. Trajectory data have been clustered to recognize the utilization patterns of airspace. Discussions on the boundary of UAS operation were presented based on both current airspace utilization patterns and the estimated capacity. The airspace utilization was further modeled in an urban airspace management framework, and quantifiable area for potential UAS operation was analyzed. As this is the first research study to present the initial concept, more operational and other factors should be considered in the future study for the generation of potential boundary of UAS operations.

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A framework for the optimization of terminal airspace operations in Multi-Airport Systems

Cited by 30 publications

References 36 publications

Framework for Real-Time Traffic Management with Case Studies

Framework for Real-Time Traffic Management with Case Studies

Multi-Airport System Development Model: Case Study of Airports in Indonesia

Accessibility Analysis of Unmanned Aerial Vehicles Near Airports with a Four-Dimensional Airspace Management Concept

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