Concept of Operations for Addressing Types of En-Route Hazardous Weather Constraints in NextGen

Lindholm, Tenny; Krozel, Jimmy; Mitchell, Joseph S. B.

doi:10.2514/6.2009-6994

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…As before, the input to our problem is a polygonal domain P with a source and a sink m gives the weather impact interaction grid, as discussed in [Lindholm, et al, 2009].) The capacity estimation problem is: Given integers n 1 , n 2 , n 3 , ..., n M , decide if there exist n 1 class-1 paths, n 2 class-2 paths,..., and n M class-M paths from source to sink through P, with no overlap among the (thick) paths, and each class-m path avoiding constraints of types in the set O m .…”

Section: Multi-class Throughput Problem Formulationmentioning

confidence: 99%

“…Three or more types of constraints (K≥3) and three or more aircraft classes (M≥3). This will allow us to compute capacities for multiple classes of aircraft whose constraints are determined by a general weather impact interaction grid [Lindholm, et al, 2009].…”

Section: Future Researchmentioning

confidence: 99%

“…In this paper, we concentrate on the case of two aircraft classes and two types of constraints (hard and soft); nevertheless, most of our results extend directly to multiple classes of aircraft and multiple types of constraints. (In general, the problem can be analyzed in terms of a weather impact interaction grid, which specifies which types of constraints must be avoided by which classes of aircraft; see [Lindholm, et al, 2009]. )…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Flexible Airlane Generation to Maximize Flow under Hard and Soft Constraints

Shang

Mitchell

Kim

et al. 2011

Air Traffic Control Quarterly

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We consider a multicriteria optimization problem of simultaneously routing several classes of aircraft through an airspace at a fixed flight level in the presence of various types of constraints. Hard constraints are formed by hazards through which no aircraft can safely fly (e.g., severe convection, turbulence, or icing). Soft constraints are formed by hazards through which some pilots or airlines decide to fly while others do not (e.g., moderate turbulence or icing). We compute flight paths for two aircraft classes: Class-1 aircraft avoid hard constraints but are willing to fly through soft constraints, and Class-2 aircraft avoid both hard and soft constraints. Our work assists in the design of future operational concepts in which jetway routing is retired and aircraft paths are allowed to adjust to the shapes and positions of constraints. We are interested in determining the capacity of an airspace and feasible routes across an airspace with hard and soft constraints, given as input the demand profile indicating how many Class-1 and Class-2 aircraft are scheduled to enter the airspace. We report on experiments both with real and with synthesized weather data.

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Section: Multi-class Throughput Problem Formulationmentioning

confidence: 99%

Section: Future Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Flexible Airlane Generation to Maximize Flow under Hard and Soft Constraints

Shang

Mitchell

Kim

et al. 2011

Air Traffic Control Quarterly

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Weather Avoidance Field Establishment Algorithm Based on Fuzzy Theory

Xie,

Fu,

et al. 2023

2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM)

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NASA System-Level Design, Analysis and Simulation Tools Research on NextGen

Bardina¹

2011

SAE Int. J. Aerosp.

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A review of the research accomplished in 2009 in the System-Level Design, Analysis and Simulation Tools (SLDAST) of the NASA's Airspace Systems Program is presented. This research thrust focuses on the integrated system-level assessment of component level innovations, concepts and technologies of the Next Generation Air Traffic System (NextGen) under research in the ASP program to enable the development of revolutionary improvements and modernization of the National Airspace System. The review includes the accomplishments on baseline research and the advancements on design studies and system-level assessment, including the cluster analysis as an annualization standard of the air traffic in the U.S. National Airspace, and the ACES-Air MIDAS integration for human-in-the-loop analyzes within the NAS air traffic simulation.

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Concept of Operations for Addressing Types of En-Route Hazardous Weather Constraints in NextGen

Cited by 3 publications

References 6 publications

Flexible Airlane Generation to Maximize Flow under Hard and Soft Constraints

Flexible Airlane Generation to Maximize Flow under Hard and Soft Constraints

Weather Avoidance Field Establishment Algorithm Based on Fuzzy Theory

NASA System-Level Design, Analysis and Simulation Tools Research on NextGen

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