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Method for testing proximity detection and alert technology for safe construction equipment operation

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  • Eric Daniel Marks
  • Jochen Teizer

Abstract

The US construction industry continues to be among the leading industries for workplace fatalities after experiencing 818 fatalities in 2009. Approximately 21% of these fatalities resulted from workers being struck by an object or piece of construction equipment. The nature of construction sites often produces hazardous conditions by requiring ground workers and heavy construction equipment to operate in close proximity. The primary objective is to present a method for testing proximity detection and alert systems. Experimental trials were designed to deploy emerging radio frequency (RF) remote sensing technology to demonstrate the ability of the test method to evaluate the capability of proximity detection and alert systems to provide alerts when heavy construction equipment and workers are in too close proximity to each other. Numerous field experiments were designed and conducted to emulate typical interactions between workers on foot and construction equipment. These devices were installed on pieces of construction equipment in an outdoor environment to evaluate the test method for proximity detection and alert systems. Experimental results show that proximity detection and alert technologies can provide alerts to equipment operators at different pre-calibrated proximity alert ranges. The results suggest that the presented testing method adequately evaluated the reliability and effectiveness of the proximity detection and alert technology in the construction environment.

Suggested Citation

  • Eric Daniel Marks & Jochen Teizer, 2013. "Method for testing proximity detection and alert technology for safe construction equipment operation," Construction Management and Economics, Taylor & Francis Journals, vol. 31(6), pages 636-646, June.
    • Handle: RePEc:taf:conmgt:v:31:y:2013:i:6:p:636-646
    DOI: 10.1080/01446193.2013.783705
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    Cited by:

    1. Byung-Wan Jo & Yun-Sung Lee & Jung-Hoon Kim & Do-Keun Kim & Pyung-Ho Choi, 2017. "Proximity Warning and Excavator Control System for Prevention of Collision Accidents," Sustainability, MDPI, vol. 9(8), pages 1-20, August.
    2. Nnaji, Chukwuma & Awolusi, Ibukun, 2021. "Critical success factors influencing wearable sensing device implementation in AEC industry," Technology in Society, Elsevier, vol. 66(C).
    3. Jieun Baek & Yosoon Choi, 2020. "Smart Glasses-Based Personnel Proximity Warning System for Improving Pedestrian Safety in Construction and Mining Sites," IJERPH, MDPI, vol. 17(4), pages 1-15, February.

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