TY - GEN
T1 - Digital Twins for Detecting Worker Geofence Violations in Road Construction Work Zones
AU - Chang, Woei Chyi
AU - Wang, Xingchen
AU - Zhu, Tianheng
AU - Adetooto, Johnson D.
AU - Su, Lu
AU - Feng, Yiheng
AU - Behzad, Esmaeili
AU - Hasanzadeh, Sogand
N1 - Publisher Copyright:
© ASCE.
PY - 2025
Y1 - 2025
N2 - Work zone intrusions have been recognized as a safety-critical incident in road construction, often leading to injuries and fatalities. The causes of intrusions are twofold: (i) driver recklessness or distraction, and (ii) worker violations of the work zone. While majority of current solutions focused on addressing driver-related issues, worker violation should not be overlooked, as it increases the risk of workers being struck by vehicles. Detecting worker violation can be challenging, requiring an understanding of work zone boundaries and real-time worker positions. To address this challenge, this study proposed a digital twin-based solution to (i) generate the geofence of work zone by deploying channelizing device, (ii) monitor worker presence and positions via beacon sensors and high-accuracy GPS receivers, and (iii) identify worker violation of work zone. The system was validated in a simulated and controlled work zone and achieved accurate violation detection with limited latency. This solution is scalable to integrate vehicle-related sensing and enable communication with the work zone data exchange (WZDx).
AB - Work zone intrusions have been recognized as a safety-critical incident in road construction, often leading to injuries and fatalities. The causes of intrusions are twofold: (i) driver recklessness or distraction, and (ii) worker violations of the work zone. While majority of current solutions focused on addressing driver-related issues, worker violation should not be overlooked, as it increases the risk of workers being struck by vehicles. Detecting worker violation can be challenging, requiring an understanding of work zone boundaries and real-time worker positions. To address this challenge, this study proposed a digital twin-based solution to (i) generate the geofence of work zone by deploying channelizing device, (ii) monitor worker presence and positions via beacon sensors and high-accuracy GPS receivers, and (iii) identify worker violation of work zone. The system was validated in a simulated and controlled work zone and achieved accurate violation detection with limited latency. This solution is scalable to integrate vehicle-related sensing and enable communication with the work zone data exchange (WZDx).
UR - https://www.scopus.com/pages/publications/105030956639
U2 - 10.1061/9780784486443.098
DO - 10.1061/9780784486443.098
M3 - Conference contribution
AN - SCOPUS:105030956639
T3 - Computing in Civil Engineering 2025: Resilient, Robotic, and Educational Systems - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2025
SP - 896
EP - 904
BT - Computing in Civil Engineering 2025
A2 - Jafari, Amirhosein
A2 - Zhu, Yimin
PB - American Society of Civil Engineers (ASCE)
T2 - ASCE International Conference on Computing in Civil Engineering, i3CE 2025
Y2 - 11 May 2025 through 14 May 2025
ER -