原文传递 Analysis of Air Traffic Track Data with the AutoBayes Synthesis System Online.
题名: Analysis of Air Traffic Track Data with the AutoBayes Synthesis System Online.
作者: Schumann-J.M.P.; Cate-K.; Lee-A.G.
关键词: analysis;bayes;online;track;traffic;data;system;with;prediction;auto
摘要: The Next Generation Air Traffic System (NGATS) is aiming to provide substantial computer support for the air traffic controllers. Algorithms for the accurate prediction of aircraft movements are of central importance for such software systems but trajectory prediction has to work reliably in the presence of unknown parameters and uncertainties. We are using the AutoBayes program synthesis system to generate customized data analysis algorithms that process large sets of aircraft radar track data in order to estimate parameters and uncertainties. In this paper, we present, how the tasks of finding structure in track data, estimation of important parameters in climb trajectories, and the detection of continuous descent approaches can be accomplished with compact task-specific AutoBayes specifications. We present an overview of the AutoBayes architecture and describe, how its schema-based approach generates customized analysis algorithms, documented C/C++ code, anddetailed mathematical derivations. Results of experiments with actual air traffic control data are discussed.
报告类型: 科技报告
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