EconPapers    
Economics at your fingertips  
 

An ant colony based optimization for RFID reader deployment in theme parks under service level consideration

Chieh-Yuan Tsai, Hui-Ting Chang and Ren Jieh Kuo

Tourism Management, 2017, vol. 58, issue C, 1-14

Abstract: Radio Frequency Identification (RFID) tracking systems have been implemented in theme parks to help visitors find lost family or group members. When a visitor enters a park, he/she is assigned a wristband embedded with an active RFID tag. When the visitor passes through the coverage area of an RFID reader, the system can identify the visitor's location. However, few studies have examined the optimal deployment of RFID readers or discussed how to best evaluate the deployment quality of the tracking system. To address this need, an Ant Colony System (ACS)-based reader deployment method is proposed. First, the grid size, the quantity of readers, maximum reading distance of the readers, and visiting frequency of each grid should be decided or derived. Next, the ACS with incremental location setting (ACS-ILS) algorithm is developed to determine the best reader locations to maximize visiting frequency coverage and minimize reader collision. A service level index is then defined and used to evaluate the service quality of the RFID tracking system. The experimental results show that the proposed ACS-based reader deployment method and service level index can help managers determine the near optimal quantity and locations of readers for the RFID tracking system.

Keywords: Tracking systems; Ant colony optimization; Reader deployment; Theme parks; Service level index (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261517716301819

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:touman:v:58:y:2017:i:c:p:1-14

Access Statistics for this article

Tourism Management is currently edited by Chris Ryan

More articles in Tourism Management from Elsevier
Series data maintained by Dana Niculescu ().

 
Page updated 2017-12-23
Handle: RePEc:eee:touman:v:58:y:2017:i:c:p:1-14