Reconstruction of Aircraft Trajectories from AMDAR Weather Reports
نویسندگان
چکیده
منابع مشابه
Generating Optimal Aircraft Trajectories with respect to Weather Conditions
Two major projects have been initiated to improve air traffic management by enabling 4D trajectory planning, whereby the aircraft plan their trajectory both in position and in time. In this paper, we are interested in a Free Flight variant of the concept, whereby airspace users are allowed maximum freedom when selecting routes: aircraft are no longer restricted to fly along airways; rather, the...
متن کاملWind parameters extraction from aircraft trajectories
When supervising aircraft, air traffic controllers need to know the current wind magnitude and direction since they impact every flying vessel. The wind may accelerate or slow down an aircraft, depending on its relative direction to the wind. Considering several aircraft flying in the same geographical area, one can observe how the ground speed depends on the direction followed by the aircraft....
متن کاملStrategic deconfliction of aircraft trajectories
In this work, we present a methodology to minimize the number of potential conflicts between aircraft trajectories based on route-slot allocation techniques. The traffic assignment problem is modeled as a combinatorial optimization problem for which two metaheuristic optimization algorithms are developed and implemented. The first algorithm relies on a standard simulated annealing, while the se...
متن کاملAutomatic Generation of Multimodal Weather Reports from Datasets
Weather reports are created in various modes natural language text, specialized language text, tables and maps. The system presented allows the user to define his needs of weather information and requirements on the form of presentation. The system analyzes a dataset obtained through specific procedures of forecasting or observation, plans the product according to the user requirements and gene...
متن کاملFunctional Principal Component Analysis of Aircraft Trajectories
In Functional Data Analysis (FDA), the underlying structure of a raw observation is functional and data are assumed to be sample paths from a single stochastic process. Functional Principal Component Analysis (FPCA) generalizes the standard multivariate Principal Component Analysis (PCA) to the infinite-dimensional case by analyzing the covariance structure of functional data. By approximating ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Atmospheric and Oceanic Technology
سال: 2011
ISSN: 0739-0572,1520-0426
DOI: 10.1175/2011jtecha1499.1