Application of WiFi-based indoor positioning system for labor tracking at construction sites: A case study in Guangzhou MTR

Sunkyu Woo, Seongsu Jeong, Esmond Mok, Linyuan Xia, Changsu Choi, Muwook Pyeon, Joon Heo

Research output: Contribution to journalArticlepeer-review

144 Citations (Scopus)

Abstract

For construction management, tracking the locations of construction resources such as labor, materials machinery, and vehicles is important. Some alternative form of location monitoring system is necessary for indoor environments such as tunnels and buildings under construction, because of systematic limitations of the Global Positioning System (GPS). This study investigated the feasibility of a WiFi-based indoor positioning system for construction sites. The system was developed using the fingerprint method of Received Signal Strength Indication (RSSI) from each Access Point (AP). A series of experiments were conducted at a shield tunnel construction site in Guangzhou, China. The results showed that the WiFi-based indoor positioning system was accurate within 5 m of error for that site, thus proving the utility of the system for tracking the approximate locations of labor at construction sites. Additionally, this system could be used for monitoring the locations of other construction resources such as vehicles and materials.

Original languageEnglish
Pages (from-to)3-13
Number of pages11
JournalAutomation in Construction
Volume20
Issue number1
DOIs
Publication statusPublished - 2011 Jan

Bibliographical note

Funding Information:
This research was supported by a grant ( 07KLSGC04 ) from Cutting-edge Urban Development - Korean Land Spatialization Research Project funded by Ministry of Construction & Transportation of Korean government.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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