A framework for the classification and prioritization of arrival and departure routes in Multi-Airport Systems Terminal Manoeuvring Areas

Sidiropoulos, Stavros; Majumdar, Arnab; Han, Ke; Schuster, W.; Ochieng, Washington Yotto

doi:10.2514/6.2015-3031

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…In order to schedule approach flights more efficiently, it is necessary to consider the route selection and the arrangement of restricted airspace resources within the airport metroplex. Sidiropoulos et al [13] proposed a sorting optimization strategy for airport metroplex inbound and outbound flights in 2015. Firstly, inbound and outbound flights were clustered to obtain dynamic paths according to their temporal and spatial distribution; secondly, dynamic paths were prioritized; finally, dynamic path flight sorting based on optional waypoints was realized on the premise of ensuring flight intervals.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Sequencing of Arrival Flights at Metroplex Airports: A Study on Shared Waypoints Based on Path Selection and Rolling Horizon Control

Jiang,

Zhang

2023

Aerospace

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The civil aviation industry is experiencing significant growth in air traffic density within terminal areas, necessitating improved air traffic efficiency. In China’s pursuit of world-class airport clusters, operational complexities arise due to the co-location of these airports in the same terminal area airspace, resulting in lower operational efficiency. To mitigate congestion and flight delays, this study proposes an integrated model that considers multiple runways and route selections, accounting for actual route point restrictions. Utilizing actual operational data from Shanghai metroplex, the proposed model is validated. The study focuses on the airport metroplex system and presents a comprehensive mixed-integer programming (MIP) model for arrival sequencing, considering multiple airports, runways, and routes. The maximum landing efficiency is adopted as the objective function, optimizing arrival scheduling while considering time intervals, route selection, and landing constraints. The Multi-waypoint Rolling Horizon Control (MWRHC) algorithm is employed to tackle time-efficiency challenges, ensuring flight safety by continuous monitoring of flights in the terminal area. Comparative analysis reveals the algorithm’s superior optimization performance for single-runway airports compared to dual-runway airports. Overall, the proposed model and algorithm effectively improve the efficiency of multi-airport arrival scheduling in airport metroplex systems.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal Sequencing of Arrival Flights at Metroplex Airports: A Study on Shared Waypoints Based on Path Selection and Rolling Horizon Control

Jiang,

Zhang

2023

Aerospace

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“…The proposed demand modeling framework is in alignment with the dynamic route service policy (Sidiropoulos et al, 2015a). This methodology is primarily applied to Metroplex systems; however, it is sufficiently generic to serve single-airport systems as well.…”

Section: Concept Of Operationsdynamic Route Service Policymentioning

confidence: 99%

“…Significant traffic flow patterns during the operational horizon can be identified based on the distribution of flights over the spatial and temporal (S-T) domains. For this purpose, certain flights are clustered into one group, called a dynamic route (Sidiropoulos et al, 2015a), which consists of flights that  share similar S-T characteristics;  have the same operational type, i.e. arrival or departure;  are associated with the same airport.…”

Section: Concept Of Operationsdynamic Route Service Policymentioning

confidence: 99%

“…delays, noise and emissions). The current airspace design in most Metroplex systems is the result of an accumulation of numerous historic ad-hoc airspace redesign initiatives that have attempted to address individual local deficiencies and thereby failed to account for the system-wide performance (Sidiropoulos et al, 2015a, Interview, 2015.…”

Section: Introductionmentioning

confidence: 99%

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Robust identification of air traffic flow patterns in Metroplex terminal areas under demand uncertainty

Sidiropoulos

Han

Majumdar

et al. 2017

Transportation Research Part C: Emerging Technologies

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Multi-Airport Systems (MAS), or Metroplexes, serve air traffic demand in cities with two or more airports. Due to the spatial proximity and operational interdependency of the airports, Metroplex airspaces are characterized by high complexity, and current system structures fail to provide satisfactory utilization of the available airspace resources. In order to support system-level design and management towards increased operational efficiency in such systems, an accurate depiction of major demand patterns is a prerequisite. This paper proposes a framework for the robust identification of significant air traffic flow patterns in Metroplex systems, which is aligned with the dynamic route service policy for the effective management of Metroplex operations. We first characterize deterministic demand through a spatio-temporal clustering algorithm that takes into account changes in the traffic flows over the planning horizon. Then, in order to handle uncertainties in the demand, a Distributionally Robust Optimization (DRO) approach is proposed, which takes into account demand variations and prediction errors in a robust way to ensure the reliability of the demand identification. The DRO-based approach is applied on pre-tactical (i.e. one-day planning) as well as operational levels (i.e. 2-h rolling horizon). The framework is applied to Time Based Flow Management (TBFM) data from the New York Metroplex. The framework and results are validated by Subject Matter Experts (SMEs)

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“…An ongoing project ( [10,11]) seeks to implement the dynamic route service policy (as opposed to the static route structure) for terminal airspaces, by designing 3-D and conflict free dynamic routes that accommodate time-varying and uncertain air traffic demands throughout the day of operation. The goal is to reduce delay, fuel burn, and controller workload compared to the status quo.…”

Section: Air Traffic Control In Terminal Manoeuvring Areasmentioning

confidence: 99%

Framework for Real-Time Traffic Management with Case Studies

Han

2017

Transportation Research Record: Journal of the Transportation R

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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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A framework for the classification and prioritization of arrival and departure routes in Multi-Airport Systems Terminal Manoeuvring Areas

Cited by 10 publications

References 12 publications

Optimal Sequencing of Arrival Flights at Metroplex Airports: A Study on Shared Waypoints Based on Path Selection and Rolling Horizon Control

Optimal Sequencing of Arrival Flights at Metroplex Airports: A Study on Shared Waypoints Based on Path Selection and Rolling Horizon Control

Robust identification of air traffic flow patterns in Metroplex terminal areas under demand uncertainty

Framework for Real-Time Traffic Management with Case Studies

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