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Accuracy Improvement of Real-Time Location Tracking for Construction Workers

Author

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  • Hyunsoo Kim

    (Department of Architectural Engineering, Gyeongnam National University of Science and Technology, 33, Dongjin-ro, Jinju-si 52725, Korea)

  • Sangwon Han

    (Department of Architectural Engineering, University of Seoul, Seoul 130-743, Korea)

Abstract

Extensive research has been conducted on the real-time locating system (RTLS) for tracking construction components, including workers, equipment, and materials, in order to improve construction performance (e.g., productivity improvement or accident prevention). In order to prevent safety accidents and make more sustainable construction job sites, the higher accuracy of RTLS is required. To improve the accuracy of RTLS in construction projects, this paper presents a RTLS using radio frequency identification (RFID). For this goal, this paper develops a location tracking error mitigation algorithm and presents the concept of using assistant tags. The applicability and effectiveness of the developed RTLS are tested under eight different construction environments and the test results confirm the system’s strong potential for improving the accuracy of real-time location tracking in construction projects, thus enhancing construction performance.

Suggested Citation

  • Hyunsoo Kim & Sangwon Han, 2018. "Accuracy Improvement of Real-Time Location Tracking for Construction Workers," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1488-:d:145330
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    References listed on IDEAS

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    1. Kwesi Amponsah-Tawiah, 2013. "Occupational Health and Safety and Sustainable Development in Ghana," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 4(2), pages 74-78, March.
    2. Virgilio Gilart-Iglesias & Higinio Mora & Raquel Pérez-delHoyo & Clara García-Mayor, 2015. "A Computational Method based on Radio Frequency Technologies for the Analysis of Accessibility of Disabled People in Sustainable Cities," Sustainability, MDPI, vol. 7(11), pages 1-29, November.
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    Cited by:

    1. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    2. María del Carmen Rey-Merchán & Jesús M. Gómez-de-Gabriel & Antonio López-Arquillos & Juan A. Fernández-Madrigal, 2021. "Virtual Fence System Based on IoT Paradigm to Prevent Occupational Accidents in the Construction Sector," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    3. Sewoong Hwang & Zoonky Lee & Jonghyuk Kim, 2019. "Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    4. Simona Šinko & Enej Marinič & Blaž Poljanec & Matevž Obrecht & Brigita Gajšek, 2022. "Performance-Oriented UWB RTLS Decision-Making Approach," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    5. Yoon-Soo Shin & Junhee Kim, 2022. "A Vision-Based Collision Monitoring System for Proximity of Construction Workers to Trucks Enhanced by Posture-Dependent Perception and Truck Bodies’ Occupied Space," Sustainability, MDPI, vol. 14(13), pages 1-13, June.
    6. Waleed Umer & Mohsin K. Siddiqui, 2020. "Use of Ultra Wide Band Real-Time Location System on Construction Jobsites: Feasibility Study and Deployment Alternatives," IJERPH, MDPI, vol. 17(7), pages 1-25, March.
    7. Ahmed Farouk Kineber & Ayodeji Oke & John Aliu & Mohammed Magdy Hamed & Eguonor Oputu, 2023. "Exploring the Adoption of Cyber (Digital) Technology for Sustainable Construction: A Structural Equation Modeling of Critical Success Factors," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    8. Rita Yi Man Li & Beiqi Tang & Kwong Wing Chau, 2019. "Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach," Sustainability, MDPI, vol. 11(20), pages 1-18, October.

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