Prediction of the Propagation of Trajectory Uncertainty for Climbing Aircraft

Zeh, Thomas; Rosenow, Judith; Alligier, Richard; Fricke, Hartmut

doi:10.1109/dasc50938.2020.9256711

Cited by 7 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…González-Arribas et al [10] proposed an algorithm for numerical optimal control, which simulates the optimal flight trajectory for different weight aircraft models under moving thunderstorm weather. Zeh et al [11] sampled 10000 climb tracks and used a neural network model to fit the trajectories of aircraft with different takeoff weights. The results showed that the fitting degree could reach 90% and the algorithm had high accuracy.…”

Section: State Of the Artmentioning

confidence: 99%

Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather

Lu,

Lai

2024

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

Thunderstorms are recognized as perilous meteorological phenomena characterized by irregular and nonlinear movement, posing significant risks to approaching aircraft and necessitating technical methods to ensure safety to the aviation operations. This research specifically addresses the challenges associated with aircraft during the approach segment and introduces a multialgorithmic model focusing on the optimization of 4D approach trajectory. Firstly, the artificial neural network intelligent model was used to predict the thunderstorm movement track. Secondly, the multialgorithmic model combined by the rapidly exploring random tree with artificial potential field was built to plan the trajectory of the approaching aircraft under thunderstorm weather, and then, the mean filter was adopted to smooth the simulated approaching trajectory. Finally, the reliability of the model with a real case study was demonstrated. After optimized simulation by predicting the thunderstorm weather and trajectory-optimized multialgorithmic model mentioned above, the approach trajectory can be outputted successfully, but with some distortions, postprocessing with the mean filter results in a remarkably smooth approach trajectory, providing enhanced feasibility and efficiency for pilots navigating through thunderstorm weather conditions. It is ultimately proved that refined 4D trajectory operations under hazardous weather conditions hold substantial significance in advancing aviation safety and operational effectiveness.

show abstract

Section: State Of the Artmentioning

confidence: 99%

Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather

Lu,

Lai

2024

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

show abstract

“…Among them, C f3 and C f4 is the fuel consumption coefficient in the descending section (unit: kg/min *N), as shown in Table 2 h represents the standard sea level pressure altitude (in feet) at the current position of the aircraft (Zeh et al, 2020). If N represents the number of engines installed on a certain type of aircraft, the total fuel consumption of the aircraft from time t 0 to time t 1 , according to BADA manual, the total fuel consumption of the approach segment can be expressed as Formula 16.…”

Section: Fuel Consumption Evaluation Modelmentioning

confidence: 99%

Research on optimization of approach procedures for airports in an alpine environment

Lu,

Lai,

Jiang

et al. 2024

Front. Environ. Sci.

View full text Add to dashboard Cite

Obstacles in alpine environments pose significant challenges to aircraft safety during terminal operations. Key challenges include constraints from obstacles within the terminal clearance area and the labor-intensive manual calculations of flight procedures. The focal point of concern lies in the design of approach procedures, particularly due to the heightened risk of collisions with obstacles during the descent segment in such terrain. To address these challenges, initially, this paper proposes processing the terrain data and visualizing and extracting the topographic data of the alpine airport by adopting a bi-cubic b-spline interpolation and cellular automatic machine model. Then, the paper proposes improving the A* path algorithm to make sure it can obey the standards of flight procedure design, utilizing the improved A* path algorithm to design approach procedures. As fuel consumption is directly connected with the economy of aviation companies, this research finally suggests employing the fuel consumption evaluation model to select the most efficient approach flight procedures. This research takes a case study of a Yunnan airport and simulates and designs the optimized approach procedures by A* path algorithm and evaluation based on fuel consumption. Results indicate that the parameters of optimized approach procedures align with the regulation of flight procedure design and meet the requirements of real flight operation. Therefore, the core tenant of this research can provide a feasible idea for flight procedures with alpine airports and has the potential to reduce workload and enhance operational efficiency.

show abstract

“…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

Self Cite

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

Prediction of the Propagation of Trajectory Uncertainty for Climbing Aircraft

Cited by 7 publications

References 18 publications

Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather

Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather

Research on optimization of approach procedures for airports in an alpine environment

Factors Impacting Chinese and European Vertical Fight Efficiency

Contact Info

Product

Resources

About