Estimating Fuel-Efficient Air Plane Trajectories Using Machine Learning

Singh, Jaiteg; Goyal, Gaurav; Ali, Farman; Shah, Babar; Pack, Sangheon

doi:10.32604/cmc.2022.021657

Cited by 2 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For decades, the impact of thrust, longitudinal speed and vertical speed is the subject of investigations with several optimization approaches [24][25][26]. Dancila and Botez [27], focus on minimizing steps during cruise and Bailey et al [28] developed algorithms to estimate aerodynamically optimized cruising altitudes, while the benefit of Continuous Climb Operation (CCO)s has been quantified by [29,30] Countless machine learning techniques were applied to historic flight tracks to identify fuel-efficient trajectories [31,32]. Fuel efficiency is optimized using dynamic programming [33] or pseudo spectral integration [34].…”

Section: State Of the Artmentioning

confidence: 99%

Factors Impacting Chinese and European Vertical Fight Efficiency

et al. 2022

View full text Add to dashboard Cite

Increasing complexity due to a constantly growing number of target functions turns air traffic trajectory optimization into a multidimensional and nonlinear task that in turn necessitates a focus on the case-sensitive most important criteria. The criteria vary by continent and involve operational, economic, environmental, political, and social concerns. Furthermore, the requirements may alter for a single flight along its journey since air traffic is a transcontinental, segment-wise differently affected transportation mode. Tracked flight data allow for the observation and evaluation of large numbers of flights, as well as the extraction of criteria relevant to flight efficiency and to derive optimization strategies to improve it. In this study, flight track data of China and Europe were compared toward flight efficiency. We found major disparities in both continents’ routing structures. Historical ADS-B data considered to be reference trajectories were assessed for flight efficiency while putting a dedicated focus on the vertical profile. Criteria to optimize vertical flight efficiency (VFE) were derived. Based on the findings, suggestions for improvement towards trajectories with minimum fuel are formulated. Different optimization strategies were tested to identify important input variables and, if possible, to determine differences between operation in China and in Europe. On average and in both regions, the influence of weather (e.g., wind speed and wind direction) exceeds the influence of aerodynamics (aircraft type, mass), as the weather-optimized vertical profile more often results in minimum fuel consumption than the aerodynamically optimized trajectory. Atmospheric conditions, network requirements, aircraft types and flight planning procedures are similar in China and Europe and only have a minor impact on flight efficiency during the cruise phase. In a multi-criteria trajectory optimization of the extracted reference trajectories considering the weather, operational constraints and prohibited areas, we found that in China, on average, just under 13% fuel could be saved through optimal vertical and horizontal routing. In Europe, the figure is a good 10%. Furthermore, we calculated a fuel-saving potential of 8% in China and 3% in Europe through vertical adjustments of the trajectory alone. The resultant reference trajectories will be used for further analysis to increase the efficiency of continental air traffic flows.

show abstract

Section: State Of the Artmentioning

confidence: 99%

Factors Impacting Chinese and European Vertical Fight Efficiency

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Finally, the obtained expression (3) for the parameter was substituted in the formula for specific fuel consumption (2). It allows to plot engine throttling characteristics in the form of dimensionless specific fuel consumption (related to the specific fuel consumption at full thrust) dependence on the engine throttling coefficient (Fig.…”

Section: Approximation Of Turbofan Throttling Characteristicsmentioning

confidence: 99%

“…One of the ways to increase transport category airplanes' fuel efficiency is fuel trim transfer application, which allows decreasing airplane trim drag at cruise flight [1,2].…”

Section: Introductionmentioning

confidence: 99%

Transport category airplane flight range calculation accounting center-of-gravity position shift and engine throttling characteristics

Tsukanov

Рябков

2021

aktt

View full text Add to dashboard Cite

A problem facing world commercial aviation is a provision of the flight range and an increase in the fuel efficiency of transport category airplanes using fuel trim transfer application, which allows for decreasing airplane trim drag at cruise flight. In the existing mathematical models, center-of-gravity position is usually assumed fixed, but with fuel usage, center-of-gravity shifts within the definite range of center-of-gravity positions. Until the fuel trim transfer was not used in airplanes, the center-of-gravity shift range was rather short, that allowed to use the specified assumption without any considerable mistakes. In case of fuel trim transfer use, center-of-gravity shifts can reach 15…20 % of mean aerodynamic chord, that requires considering the center-of-gravity actual position during the flight range calculation. Early made estimated calculations showed the necessity of following mathematical model improvement using accounting the real engine throttling characteristics. The goal of this publication is to develop a method of flight range calculation taking transport category airplane into account actual center-of-gravity position with fuel using and variation in engine-specific fuel consumption according to their throttling characteristics. On the basis of real data from engine maintenance manuals, formulas are obtained for approximation throttling characteristics of turbofan engines in the form of dimensionless specific fuel consumption (related to the specific fuel consumption at full thrust) dependence on the engine throttling coefficient. A mathematical model (algorithm and its program implementation using С language in Power Unit 11.7 R03 system) has been developed to calculate the airplane flight range accounting its actual center-of-gravity position shift with fuel usage and variation in specific fuel consumption according to engine throttling characteristics. Using comparison with known payload-range diagram, adequacy of developed mathematical model is shown. Recommendations to improve the mathematical model are also given.

show abstract

Estimating Fuel-Efficient Air Plane Trajectories Using Machine Learning

Cited by 2 publications

References 26 publications

Factors Impacting Chinese and European Vertical Fight Efficiency

Factors Impacting Chinese and European Vertical Fight Efficiency

Transport category airplane flight range calculation accounting center-of-gravity position shift and engine throttling characteristics

Contact Info

Product

Resources

About