Master Data Set for Aviation Safety Analysis

초록

In Korea, the Ministry of Land, Infrastructure, and Transportation has been developing a big-data platform for aviation safety management using national aviation data. Aviation data includes not only the track data but also data related to the aircraft, such as weather and flight plans. However, these data are managed by various stakeholders, and the integrated aviation data are not provided. Since there were no integrated aviation data that encompass various fields, many researchers have been forced to pre-process these separate data to analyze. Although the researchers integrated the data from different fields, it was hard to commonly use because only a few fields were integrated, or the used data were hard to be obtained. It is necessary to design an integrated database so the researchers can use the data that they need. This paper presents the master data set for aviation safety analysis and data integration using data from various fields that are independent but deeply related. As original sources, Automatic Dependent Surveillance-Broadcast, Korean Local Analysis and Prediction System, and Aeronautical Information Publication data were integrated to master data set.

제목
Master Data Set for Aviation Safety Analysis
저자
LEE HAKTAE
학회명
APISAT 2022
개최지
Niigata, Japan
학회 개최일
2022-10-12 ~ 2022-10-14