Phase III: Smart Proximity Work Zone Safety Technology Deployment

Details

• Creators:
  Cho, Yong Kwon ; Kim, Kinam ; Jeong, Inbae ; Chen, Jingdao ; Kim, Pileun ; Cho, Erin Sinah
• Corporate Creators:
  Georgia Institute of Technology. School of Civil and Environmental Engineering
• Corporate Contributors:
  Georgia. Department of Transportation. Office of Performance-Based Management & Research ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Feasibility analysis
  • Field tests
  • Highways
  • Occupational safety
  • Road construction workers
  • Surveys
  • Warning systems
  • Work zone safety
  • Equipment Proximity
  • Construction workers
  More +
• Publication/ Report Number:
  FHWA-GA-20-1817
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final; October 2018 – September 2020
• Corporate Publisher:
  Georgia. Dept. of Transporation. Office of Performance-Based Management and Research
• Abstract:
  The main objective of this research is to develop and deploy a low-cost and scalable smart Internet of Things(IoT) proximity alert system using the IoT mobile sensing technology for alerting workers and equipment operators in proximity hazard situations in highway work zones. This research consisted of 5 field tests, including a preliminary test and 4 evaluation tests. Through the tests, the technical and practical feasibility of the system was evaluated. The experiences of the workers who participated in the tests were investigated by collecting and analyzing a questionnaire survey. With the developed system, it is expected that GDOT can improve the safety in proximity between equipment and workers by deploying the low-cost proximity alert system.
• Format:
  PDF
• Funding:
  PI # 0016328
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/54701/dot_54701_DS1.pdf
• File Type:
  [PDF - 2.36 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:27c8728ef2237fd52da0ce8ec6b85f62e4752be93bc5363e03af909643e49e370f6373bdd58e8bdddc4a32e7517f89d0a0a876454229475f59a4fb88d7591783