• The Journal of Bigdata
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• v.5 no.1
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• pp.181-188
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• 2020

As the size of the airport terminal grows in line with the rapid growth of aviation passengers, the advanced baggage handling system that combines various data technologies has become an essential element in order to handle the baggage carried by passengers swiftly and accurately. Therefore, this study introduces the method of analyzing the baggage handling capacity of domestic airports through the latest data analysis methodology from the process point of view to advance the operation of the airport BHS and the main points based on event log data. By presenting an accurate load prediction method, it can lead to advanced BHS operation strategies in the future, such as the preemptive arrangement of resources and optimization of flight-carrousel scheduling. The data used in the analysis utilized the APIs that can be obtained by searching for "Korea Airports Corporation" in the public data portal. As a result of applying the method to the domestic airport BHS simulation model, it was possible to confirm a high level of predictive performance.

• IE interfaces
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• v.20 no.3
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• pp.298-308
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• 2007

Radio Frequency Identification (RFID) is one of Identification Technologies today. Many of the large retailers in the United States and Europe have established requirements for their suppliers to use RFID technology in 2004. Recently Airbus and Boeing have announced plans to develop a single RFID specification to be used by both companies to use RFID tags to identify commercial aircraft parts. However, it does not mean the end of barcode and it may take several years before the wide adoption of the RFID. This is because a precise business process reengineering is required with technology itself to get the potential benefits of RFID. In this paper, we introduce an RFID enabled air baggage handling process which has been developed and tested recently. We believe our study would give a good guideline for further researches on RFID application in the aviation industry.

• Journal of Advanced Navigation Technology
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• v.20 no.2
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• pp.107-115
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• 2016

The passenger who use airport spend a lot of time in check-in. They are also delayed in their readiness for departure. Therefore, for decrease in time that is waiting time for handling luggage, recently many airports are expanding self-service. Also internal development and manufacturing for production automation system and IT technology are world-class. So, for localization of self bag drop (SBD) system, I think that application this system in domestic technique and constructing competitive in customer reception system will be efficient airport management. To this end, for looking for optimal conditions when passengers use SBD, this thesis include development simulation of relevance to system. Also this thesis secures information for passenger's in foreign country airport and simulate this data. Finally, that analysis the best management passenger system when the passenger use SDB.