A review of best practices, standards, and approaches for transportation safety data and driver state prediction

This systematic review documents current best practices, standards, and approaches for transportation safety data analytics. While standards exist for defining measures, there are few available standards or guides for processing driving and driver data. Standards are crucial for ensuring repeatability and appropriate cost-benefit decisions. The review identified 36 relevant studies describing behavioral and physiological measures. Most studies do not comprehensively report data processing steps. Of the studies that did report data processing steps, few analyzed the impact of decisions made during data processing on algorithm performance. Most studies were conducted in a controlled simulator environment and may not generalize to naturalistic settings. The findings show that driver behavior and physiological data show efficacy for detecting fatigue, distraction, stress, and driver errors. The results of these studies may necessitate additional data processing standards and future work should focus on measuring the effects of data decisions on model performance.

• Record URL:
  • https://doi.org/10.1177/21695067231192428
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21695067
• Supplemental Notes:
  • Copyright © 2023 Human Factors and Ergonomics Society.
• Authors:
  • Nartey, David
  • 0000-0001-8591-4327
  • Alambeigi, Hananeh
  • McDonald, Anthony D
  • 0000-0001-7827-8828
  • Shipp, Eva
  • Manser, Michael
  • Christensen, Scott
  • Lenneman, John K
  • Pulver, Elizabeth
• Publication Date: 2023-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1161-1167
• Serial:
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Volume: 67
  • Issue Number: 1
  • Publisher: Sage Publications, Incorporated
  • ISSN: 2169-5067
  • EISSN: 1071-1813
  • Serial URL: http://journals.sagepub.com/home/pro

Subject/Index Terms

• TRT Terms: Best practices; Data analysis; Drivers; Driving behavior; Physiological aspects; Predictive models
• Subject Areas: Data and Information Technology; History; Safety and Human Factors;

Filing Info

• Accession Number: 01906688
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 31 2024 3:59PM