Evaluating Concepts for Metroplex Operations

Clarke, John‐Paul; Ren, Liling; McClain, Evan; Schleicher, David; Timar, Sebastian; Saraf, Aditya; Crisp, Donald; Gutterud, Richard; Lewis, Taryn; Thompson, Terence R.; Cross, Carolyn; Madson, Michael D.

doi:10.2514/6.2010-9249

Cited by 15 publications

(18 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MAS TMA airspace is characterised by high-density operations 2,7,15,16 and the location where flights enter and exit the TMA varies according to their spatial and temporal distribution. However, aircraft trajectories share origin and destination directions (TMA entry-exit points and MAS airports).…”

Section: B Route Classification / Clusteringmentioning

confidence: 99%

“…6 The effective management of such systems is a key requirement by all the relevant stakeholders, namely the airports, Air Navigation Service Providers (ANSPs), ATC and airspace users (especially the airlines). Currently, operations in MAS are loosely coordinated, 2 resulting in a number of system inefficiencies that affect the stakeholders. The lack of effective Airport Collaborative Decision Making (A-CDM) leads to the airports within the MAS to compete for the use of the common airspace resources.…”

Section: Introductionmentioning

confidence: 99%

“…2 To this end, the solution should be aligned with the current notion for the modernization of the ATM system and move towards more dynamic, 4-D trajectory-based operations, as described in the SESAR and NextGen programmes. 7,8 There have been a few methods in the literature that adopt the concept of Dynamic Airspace Configuration for terminal area operations.…”

Section: Introductionmentioning

confidence: 99%

“…The most comprehensive approach for the analysis and optimization of Metroplex operations is presented in Ref. 2. A set of concepts is proposed for Metroplex operations, evaluated on the basis of their spatial and temporal impacts on the system.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the lack of effective central coordination for the operations in such systems, the current practice is for Air Traffic Controllers (ATCo) to allocate traffic in an ad-hoc manner based upon experience, which results in a sub-optimal utilization of the potential capacity of the system. 2 There have been a few attempts to optimize MAS TMA operations through airspace redesign consultations. [3][4][5] However, in most cases they comprise of ad-hoc measures for specific airport systems (eg.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

Sidiropoulos

Majumdar

Han

et al. 2015

15th AIAA Aviation Technology, Integration, and Operations Conference

View full text Add to dashboard Cite

Section: B Route Classification / Clusteringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Sidiropoulos

Majumdar

Han

et al. 2015

15th AIAA Aviation Technology, Integration, and Operations Conference

View full text Add to dashboard Cite

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

Sidiropoulos

Majumdar

Han

2018

Transportation Research Part B: Methodological

View full text Add to dashboard Cite

Design of an optimal route structure using heuristics-based stochastic schedulers

Choi

Robinson

Mulfinger

et al. 2010

29th Digital Avionics Systems Conference

View full text Add to dashboard Cite

The purpose of this study is to investigate the effects of efficient route structure in the extended terminal airspace area on arrival scheduling performance. This paper will provide reasonable guidelines for optimal route topology in the extended terminal area by considering the uncertainties present in real operations. In a previous study, a Mixed Integer Linear Programming (MILP)-based scheduling algorithm proved to generate more optimal scheduling results than a traditional First-come-First-Served (FCFS) scheduler. However, an expensive computational cost associated with extensive search process limited its usage to a small number of flights in a dense terminal environment. Heuristics based on FCFS scheduling were introduced to alleviate this computational limitation. However, that heuristic was not sufficient to accommodate the amount of traffic associated with dense terminal operations. In this study, we introduce a Genetic Algorithm (GA) as an alternative heuristic for queuing aircraft and route assignment to reduce the computational cost dramatically. To take into account realistic operations, a dynamic planner framework is constructed that integrates the GA heuristics-based scheduler with a stochastic trajectory simulator. Uncertainty quantification and propagation along the routes are implemented in the trajectory model. The trajectory model is simulated based on the Scheduled Times of Arrival (STAs) provided by the scheduler. As a practical application of the proposed scheduler to the dense terminal environment, a design of an optimal route structure is carried out for the terminal airspace represented in cartesian coordinates. The effects of airspace topologies on the scheduling performance are investigated and numerous route structures with different merge topologies are constructed. An optimal merge topology is identified by comparing their scheduling performances and the resulting optimal route structure is validated by the dynamic planner framework. Finally, the sensitivities of the scheduling performance with respect to the uncertainty quantification and propagation modeling are discussed.

show abstract

Evaluating Concepts for Metroplex Operations

Cited by 15 publications

References 6 publications

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

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

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

Design of an optimal route structure using heuristics-based stochastic schedulers

Contact Info

Product

Resources

About