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A study on the analysis method of passenger flow in airport using laser sensor

Authors
Lee, S.-H.Lee, H.-T.Phan, N.-Q.Gim, G.-Y.
Issue Date
Mar-2018
Publisher
Science and Engineering Research Support Society
Keywords
Big Data; Congestion; Flow tracking analysis; Laser sensor; Visualization
Citation
International Journal of Control and Automation, v.11, no.5, pp.129 - 142
Journal Title
International Journal of Control and Automation
Volume
11
Number
5
Start Page
129
End Page
142
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/31896
DOI
10.14257/ijca.2018.11.5.12
ISSN
2005-4297
Abstract
There are wide and recent research efforts to extract location information of people in certain spaces, with new services using this information in real space being launched in the market. In particular, there are emerging services and solutions that measure movement flow of people in airports, public facilities, commercial facilities, factories, warehouses, and other locations to mitigate congestion or enhance security and safety in these spaces. Methods of measuring the movement flow of people include camera image analysis, Wi-Fi, beacon, and RFID, but these methods are inconvenient as the tracking targets must carry a certain medium (smartphone, RFID tag, etc.), while camera images infringe upon personal privacy, posing many problems for commercialization of these movement flow technologies. In order to solve this problem, the current study applies a movement flow measurement technology using laser sensors, applying it to a Korean airport to verify its feasibility through an experiment. The researchers propose a method to improve customer service by analyzing the passenger movement flow, congestion levels, and wait time at the airport using the acquired data. © 2018 SERSC Australia.
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