Multi-agent simulation of NAS infrastructure utilization in the presence of airline policies

Calderon-Meza, Guillermo; Sherry, Lance; Consiglio, Maria

doi:10.1109/icnsurv.2009.5172859

Cited by 3 publications

(2 citation statements)

References 8 publications

(1 reference statement)

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“…there is no adaptation. The results of this experiment are presented in more detail in Calderón-Meza et al 19 In the present study the charts of cost and the charts of under-utilization in the former study are merged into one Pareto surface chart. Also, not all the Pareto surfaces are shown in the present study, but only one for the cost ratio of 0.3 and the distance ratio of 0.68.…”

Section: Iva Experiments #1: Fixed Homogeneous Airline Strategiesmentioning

confidence: 96%

Effects of Airline Strategies on Airline Operations and Infrastructure Utilization

Calder

2009

9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO)

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Plans for NextGen include the implementation of Net-Centric Operations (NCO) as the underlying mechanism to more effectively manage National Air Transportation System (NAS) resources. NCO mechanisms will provide the means for all agents operating in the NAS to self-synchronize in the presence of changing situations and probabilistic forecasts. Applications of NCO in other domains (e.g. military war fighting and health care) have identified the importance of developing rules and procedures for NCO to ensure that the behavior of all agents yields a net benefit to the system. This paper describes the results of a multi-agent simulation of the evolution of Airline Operation Center (AOC) decision-making for trans-continental route selection when demand for the routes is in excess of the available slots. The results show the emergence of hawk and dove alliances in AOC strategies. In some cases, these strategies yield improved performance and utilization of NAS resources. The implications of these results are discussed.

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Section: Iva Experiments #1: Fixed Homogeneous Airline Strategiesmentioning

confidence: 96%

Effects of Airline Strategies on Airline Operations and Infrastructure Utilization

Calder

2009

9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO)

Self Cite

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“…paired approaches, 1 flight-deck-based merging 2 and separation assurance 3 ). Additionally, it has been used for the evaluation of system-wide performance 4 and for optimisation, using higher level modelling (as in oceanic airspace in the Pacific, 5 in the National Airspace Systems, using multi-agent simulation 6,7 ) or focusing at the node (airport or terminal area) -as in the Dulles Airport arrival operations redesig n, 8 in which Terminal Area Route Generation Evaluation and Traffic Simulation (TARGETS) software and Base of Aircraft Data (BADA) have been used. It is also typically used for airspace sectorisation, 9 taking into account the maximum controller workload, and to design the allocation of traffic management to different controllers along the flight (such as route or terminal area 10 ).…”

Section: Introductionmentioning

confidence: 99%

Air traffic generation for new terminal area air traffic management concepts design and evaluation

Besada

Marquínez

Portillo

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper describes two systems that can be used to obtain realistic random traffic samples in a terminal area: a real traffic analyser and a synthetic traffic generator. These two systems allow the air traffic management (ATM) engineer to gain insight on the traffic structure of the area under analysis, and allow obtaining realistic traffic samples enabling the evaluation of new operational concepts, the validation or system performance measurement after procedure changes, the analysis of ATM performance under forecasted future traffic changes, etc. Together with the design of the system, the work provides insight of user interfaces and describes the potential uses of such tools in an integrated ATM system.

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Impact of service network topology on air transportation efficiency

Kotegawa

Fry

DeLaurentis

et al. 2014

Transportation Research Part C: Emerging Technologies

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Multi-agent simulation of NAS infrastructure utilization in the presence of airline policies

Abstract: Introduction

Cited by 3 publications

References 8 publications

Effects of Airline Strategies on Airline Operations and Infrastructure Utilization

Effects of Airline Strategies on Airline Operations and Infrastructure Utilization

Air traffic generation for new terminal area air traffic management concepts design and evaluation

Impact of service network topology on air transportation efficiency

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