Optimize the Work Zone Safety with Spatial Information Technology and Eye Tracker [Research Brief]

Details

• Creators:
  Liu, Peng ; Zhang, Chengyi
• Corporate Creators:
  University of Wyoming
• Corporate Contributors:
  Mountain-Plains Consortium ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Construction and maintenance personnel
  • Eye movements
  • Training
  • Work zone safety
  • Construction safety
• Publication/ Report Number:
  MPC 22-472 (project 653)
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mountain-Plains Consortium
• Abstract:
  Human error is the main contributing factor to accidents in the workplace, especially among construction workers. This study adopted systematic literature review methods to discuss current research on using eye-tracking technology to improve construction safety, as well as present the challenges and opportunities. Experiments were conducted with 60 participants, who were asked to recognize the potential hazard in three construction pictures before and after a 10-minute training. Then, workers’ hazard identification rate (HIR) was defined. The MultiMatch method, a vector-based, multi-dimensional approach to compute scan path similarity, was adopted to calculate the similarity of scan path in five dimensions, vector, length, position, duration, and direction. Statistical methods, including T-test and one-way-ANOVA analysis, were performed to evaluate the effectiveness of the brief training.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/67533/dot_67533_DS1.pdf
• File Type:
  [PDF - 462.88 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha256:537a39416ec43bb76164a0341a03635ba8fe076d218749f6cad2239bd2841167