Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Full metadata record
DC Field Value Language
dc.contributor.authorLee, S.-H.-
dc.contributor.authorLee, H.-T.-
dc.contributor.authorPhan, N.-Q.-
dc.contributor.authorGim, G.-Y.-
dc.date.available2019-03-13T01:51:59Z-
dc.date.created2018-09-12-
dc.date.issued2018-03-
dc.identifier.issn2005-4297-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/31896-
dc.description.abstractThere 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.-
dc.language영어-
dc.language.isoen-
dc.publisherScience and Engineering Research Support Society-
dc.relation.isPartOfInternational Journal of Control and Automation-
dc.titleA study on the analysis method of passenger flow in airport using laser sensor-
dc.typeArticle-
dc.identifier.doi10.14257/ijca.2018.11.5.12-
dc.type.rimsART-
dc.identifier.bibliographicCitationInternational Journal of Control and Automation, v.11, no.5, pp.129 - 142-
dc.description.journalClass1-
dc.identifier.scopusid2-s2.0-85047986909-
dc.citation.endPage142-
dc.citation.number5-
dc.citation.startPage129-
dc.citation.titleInternational Journal of Control and Automation-
dc.citation.volume11-
dc.contributor.affiliatedAuthorGim, G.-Y.-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorBig Data-
dc.subject.keywordAuthorCongestion-
dc.subject.keywordAuthorFlow tracking analysis-
dc.subject.keywordAuthorLaser sensor-
dc.subject.keywordAuthorVisualization-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Business Administration > School of Business Administration > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Gim, Gwang Yong photo

Gim, Gwang Yong
College of Business Administration (School of Business Administration)
Read more

Altmetrics

Total Views & Downloads

BROWSE