Optimizing Pushback Decisions to Valuate Airport Surface Surveillance Information

Burgain, Pierrick; Pinon, Olivia J.; Féron, Éric; Clarke, J-P; Mavris, Dimitri N.

doi:10.1109/tits.2011.2166388

Cited by 21 publications

(12 citation statements)

References 13 publications

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“…Indeed, it was found that a rate-based control strategy is much better accepted by human operators than a pure threshold strategy. Generalized versions of pushback control policies, based on fullstate feedback using surface surveillance, have also been considered for surface traffic management [13,14]. Recently, a refined Pushback Rate Control strategy has been developed, which uses the transient analysis of D(t)/E k (t)/1 queuing systems to determine the optimal rate of pushbacks in a given time period, based on the operating environment, the number of aircraft taxiing out, and the length of the departure runway queue [84].…”

Section: Methodsmentioning

confidence: 99%

Challenges in Aerospace Decision and Control: Air Transportation Systems

Balakrishnan

Clarke

Féron

et al. 2015

Advances in Control System Technology for Aerospace Applications

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The Next Generation Air Transportation System (NextGen) is the FAA's vision of how the nation's aviation system will operate in 2025 and beyond [40]. In 2004, the National Airspace System (NAS) was already operating near capacity, and demand was expected to grow two-to threefold over the following 20 years. The NextGen initiative was established in 2003 in order to meet the challenges presented by the predicted increase in demand. It represents a substantial and long-term change in the management and operation of the US air transportation system, and involves both the leveraging of existing technologies and the development of new ones. This includes satellite-based navigation and control of aircraft, advanced digital communications, advanced infrastructure for greater information sharing, and enhanced connectivity between all components of the air transportation system. The overarching objectives of NextGen are to improve the safety, speed and efficiency, and to mitigate the environmental impacts of air transportation, while accommodating increased demand.

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Section: Methodsmentioning

confidence: 99%

Challenges in Aerospace Decision and Control: Air Transportation Systems

Balakrishnan

Clarke

Féron

et al. 2015

Advances in Control System Technology for Aerospace Applications

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“…Section II describes a modeling approach of busy airports similar to that introduced in [34] by means of finite-state Markov decision processes (MDPs). The improvement of this paper over [34] is the existence of multiple ramp areas. Unlike [34] in which the airport model is simplified by assuming the existence of a single ramp area, the airport model in this paper is more complex and closer to actual airports, including multiple ramp areas.…”

Section: F Contributions Of This Papermentioning

confidence: 99%

“…The improvement of this paper over [34] is the existence of multiple ramp areas. Unlike [34] in which the airport model is simplified by assuming the existence of a single ramp area, the airport model in this paper is more complex and closer to actual airports, including multiple ramp areas. Section III then discusses optimal spot-release strategies and discusses the efficiency gains that may be expected from using surface surveillance information.…”

Section: F Contributions Of This Papermentioning

confidence: 99%

“…Indeed, the only information needed for implementation is already available in various forms, including Aircraft Communications Addressing and Reporting System (ACARS), for which commercial decoding systems are now available. What motivates this paper and its predecessor [34], however, is that airports become progressively equipped with modern digital surface surveillance technologies, such as the Airport Surface Detection Equipment, model X (ASDE-X), Advanced Surface Movement Guidance and Control System (A-SMGCS), and Aerobahn Surface Management System. With such systems, accurate aircraft ground position information becomes more easily available in real time [35]- [40].…”

Section: E New Surface Surveillance Informationmentioning

confidence: 99%

“…We define surface information in terms of aircraft ground position on the AMA, ramp access to the taxiway system, and runway queue length. Similar to [34], a stochastic model of taxi departure operations is developed by means of MDPs and partially observable MDPs (POMDPs). However, the stochastic model simulates more complex taxiway systems composed of multiple ramp areas.…”

Section: Modeling Busy Airports By Means Of Mdpsmentioning

confidence: 99%

See 2 more Smart Citations

Valuating Surface Surveillance Technology for Collaborative Multiple-Spot Control of Airport Departure Operations

Burgain¹,

Kim²,

Féron³

2014

IEEE Trans. Intell. Transport. Syst.

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Airport departure operations are a source of airline delays and passenger frustration. Excessive surface traffic is a cause of increased controller and pilot workload. It is also a source of increased emissions and delays, and it does not yield improved runway throughput. Leveraging the extensive past research on airport departure management, this paper explores the environmental and safety benefits that improved surveillance technologies can bring in the context of gate-or spot-release strategies. This paper shows that improved surveillance technologies can yield a 4%-6% reduction of the average number of aircraft on the taxiway system during congested operations, and therefore emissions, in addition to the savings currently observed by implementing threshold-based metering strategies under evaluation at Boston's Logan Airport and other busy airports during congested periods. These calculated benefits contrast sharply with our previous work, which relied on simplified airport ramp areas with a single departure spot and where fewer environmental and economic benefits of advanced surface surveillance systems could be established. Our work is illustrated by its application to New York's LaGuardia and Seattle-Tacoma airports in Washington.Index Terms-Airport departure operations, departure management, optimization, surface surveillance.

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A robust optimization approach for airport departure metering under uncertain taxi-out time predictions

Murça

2017

Aerospace Science and Technology

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Optimizing Pushback Decisions to Valuate Airport Surface Surveillance Information

Cited by 21 publications

References 13 publications

Challenges in Aerospace Decision and Control: Air Transportation Systems

Challenges in Aerospace Decision and Control: Air Transportation Systems

Valuating Surface Surveillance Technology for Collaborative Multiple-Spot Control of Airport Departure Operations

A robust optimization approach for airport departure metering under uncertain taxi-out time predictions

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