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A Unified Approach for Optimal Cruise Airspeed with Variable Cost Index

2025· article· W7124139321 on OpenAlexaff
Lucas Souza e Silva, Ali Akgündüz, Luís Rodrigues

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicAir Traffic Management and Optimization
Canadian institutionsConcordia University
Fundersnot available
KeywordsAirspeedCruiseMinificationVariable (mathematics)Control theory (sociology)Energy consumptionAir traffic controlOptimal control

Abstract

fetched live from OpenAlex

This paper proposes, for the first time, a unified optimal approach applicable for both fuel-powered and allelectric aircraft to solve a direct operating cost (DOC) minimization problem where the cost index (CI) is modeled as a timevarying parameter, which is either commanded by Air Traffic Control (ATC) or assigned by the airline. Furthermore, this paper demonstrates how a variable CI affects the solution of the optimization problem as it presents the equations that allow the computation of optimal constant cruise airspeed and flight time in response to step changes in the CI value. The proposed methodology is validated using a simulated flight scenario, where inputs from ATC are received during flight, requiring the aircraft to adjust its optimal airspeed, flight time, and total energy consumption accordingly. The optimal values of airspeed, flight time, and energy consumption are calculated for both a fuelpowered and an all-electric aircraft, thus allowing applications of the proposed approach to future air mobility all-electric vehicles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.212
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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