SYSTEMATIC LITERATURE REVIEW: K-MEAN CLUSTERING IN AIR TRANSPORT
การทบทวนวรรณกรรมอย่างมีระบบ: การจัดกลุ่มแบบเคมีนในการขนส่งทางอากาศ
คำสำคัญ:
Air transport, Clustering, K-mean, Literature reviewบทคัดย่อ
This research aims to study the application of K-mean clustering in air transport and find variable use in each K-mean clustering purpose. Total 495 articles from Thai and international database after articles are Systematic reviews and Meta-Analyses, there are 24 articles remaining. The results found that K-mean clustering was applied in air cargo, air taxi, air traffic management, airline, airport, and vertiport along with variable use in each K-mean clustering purpose as follow, for exploring accident/ risk such as personal, equipment, management, and environment. For business operation such as fuel, load factor, available seat mile, and number of passengers. For cargo transport such as total cargo throughput, freighter aircraft movement, and international cargo. For predictive aircraft delay such as actual departure time, actual arrival time, schedule departure time, and schedule arrival time. For flight operation such as velocity, heading, barometric altitude, daily arrival traffic, and daily departure traffic. For passenger movement such as passenger movement per month and passenger per year. In addition, we found interesting topic in air taxi and vertiport for future research.
เอกสารอ้างอิง
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