Simulation of Optimal Allocation of Self- Service Check-in Kiosks at the Airport
Passengers usually chose the traditional manual check-in or self-service check-in provided by the airport. Then, to confirm the optimal allocation of self-service check-in kiosks, the paper briefly introduced the current situation of self-service check-in and offered literature review of the research method of self-service check-in. Second, based on the method called ExtendSim simulation, the paper put forward assumptions, simulated process and the quantitatively allocated ways of appropriate number of self-CUSS. Third, taking some airport for example, the paper carried out a study on the passengers’ arrival on some day and poached the passengers by adopting traditional ways and self-service ways. Finally, the article arrived at the conclusion which contained the briefly average queuing time in the different period of time, the most adaptive numbers of self-service kiosks on the highly utilized rate as well as the appropriate number of self-service kiosks in this airport. And the average value could be regarded as the proper number of self-service kiosks that should be equipped in the airport.
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Availability:
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Supplemental Notes:
- © 2015 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Zhao, Guihong
- Zheng, Xing
- Zhang, Jun
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Conference:
- Fifth International Conference on Transportation Engineering
- Location: Dalian , China
- Date: 2015-9-26 to 2015-9-27
- Publication Date: 2015-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 498-512
- Monograph Title: ICTE 2015
Subject/Index Terms
- TRT Terms: Airports; Automated checkin; Kiosks; Passenger handling; Queuing; Simulation; Slot allocation; Time periods
- Subject Areas: Aviation; Data and Information Technology; Terminals and Facilities; I20: Design and Planning of Transport Infrastructure;
Filing Info
- Accession Number: 01578958
- Record Type: Publication
- ISBN: 9780784479384
- Files: TRIS, ASCE
- Created Date: Oct 23 2015 9:28AM