2012 | OriginalPaper | Buchkapitel
An Air Traffic Flow Analysis System Using Historical Radar Data
verfasst von : Feng Shi, Peng Cheng, Rui Geng, Mo Yang
Erschienen in: Recent Advances in Computer Science and Information Engineering
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The statistics and analysis of historical air traffic flow are significant for Air Traffic Flow Management. In this paper, we propose a system design and implementation solution for analyzing air traffic flow based on historical 4-D radar tracking data. Using database and Object-Oriented programming technology, radar data is successively analyzed and extracted into flow data of smaller spatial dimension and time dimension with multiple granularities. Air traffic flow statistics are generated by automatic database procedures and can be inquired flexibly. Field test shows that hundreds of thousands of lines of raw data can be analyzed efficiently in an hour and user interface is friendly.