An Agent-Based Approach to Aircraft Conflict Resolution with Constraints

Harper, Karen A.; Guarino, Sean; White, A. S.; Hanson, Mark L.; Bilimoria, Karl D.; Mulfinger, Daniel

doi:10.2514/6.2002-4552

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…An attempt at modeling such circumstances is offered by Campbell et al 146 who employed the agent-based model IMPACT intelligent agent-based model for policy analysis of collaborative traffic flow management to simulate the decision-making process involving airlines and traffic control authorities in response to weather-due schedule changes. Harper et al 147 have also conducted similar studies with a focus on the human element in the context of decision making. Pilots, airline dispatchers, and traffic controllers are all modeled using the same agent structure, made up of three units: air-traffic situation assessor, collaborative decision-making element, and plan executor, respectively, in charge of collecting and processing current data, resolving traffic issues, and performing plan changes.…”

Section: Continuous State and Time Modelsmentioning

confidence: 95%

System Reliability at the Crossroads

Volovoi

2012

ISRN Applied Mathematics

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This paper surveys the current state of research related to the modeling and prediction of failures of engineering systems. It is argued that while greater understanding of the physics of failure has led to significant progress at the component level, there are significant challenges remaining at the system level. System reliability, a field of applied mathematics that addresses the latter challenges, is at a juncture where fundamental changes are likely. On the one hand, the traditional part of the field entered a phase of diminishing returns, largely having followed the trajectory of the ColdWar era technology development: golden years of rapid growth in the 1950s and 1960s, followed by maturation and slowing down in the ensuing decades. On the other hand, the convergence of several technologies related to data collection and processing, combined with important changes in engineering business and government priorities, has created the potential for a perfect storm that can revive and fundamentally transform the field; however, for this transformation to occur, some serious obstacles need to be overcome. The paper examines these obstacles along with several key areas of research that can provide enabling tools for this transformation.

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Section: Continuous State and Time Modelsmentioning

confidence: 95%

System Reliability at the Crossroads

Volovoi

2012

ISRN Applied Mathematics

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“…An attempt at modeling such circumstances is provided in, 8 where the agent-based model IMPACT (Intelligent agent-based Model for Policy Analysis of Collaborative Traffic flow management) was employed to simulate the decision-making process involving airlines and traffic control authorities in response to weather-based schedule changes. Harper et al 9 have also conducted similar studies with a focus on the human element in the context of decision making. Pilots, airline dispatchers and traffic controllers are all modeled using the same agent structure, made up of three units: air traffic situation assessor, collaborative decision making element, and plan executor, respectively in charge of collecting and processing current data, resolving traffic issues, and performing plan changes.…”

Section: Analytical Approachmentioning

confidence: 99%

Agent-Based Simulation of Off-Nominal Conditions During a Spiral Descent (NextGen Vehicle NRA)

Hedrick

Kelley²

2009

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

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The goal of this study is to provide quantitative simulation-based models corresponding to representative off-nominal conditions that pose credible hazards specific to new types of vehicles operating under new operational procedures within the Next Generation air Transportation System (NextGen). These models are aimed at complementing a comprehensive, but relatively high-level and mostly qualitative hazard assessment of the new vehicles operating within NextGen, by illuminating a path toward more detailed and quantitative safety analysis which will be helpful in the design of new vehicles and their operational procedures, and in developing recommendations for any appropriate new standards and regulatory guidance.

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“…A wide variety of research has focused on algorithm development and analysis for conflict detection, prevention and resolution, to aid both the controller on the ground and the cockpit crew [13,21,34,37,40,41,46,49,51,75].…”

Section: Conflict Detection Prevention and Resolutionmentioning

confidence: 99%