A Comprehensive Review of Driver’s Attention and the Evaluation Methods

With the increasing number of people killed by distracted driving, drivers' attention has become a fundamental challenge recently. Performing non-driving-related tasks can make drivers manually, visually, and cognitively distracted. Therefore, there are various definitions and categories for distraction based on the distraction source. Yet, detecting manual and visual distractions are easily but cognitive distractions are hard to identify and measure. Thus, detection, assessment, and evaluation of driver’s distraction seem crucial in the safety area. This study aims to (a) present different definitions of driver distraction, (b) introduce various methods to detect driver inattention, and (c) discuss each method's pros and cons and give an insight for an all-inclusive measurement to detect drivers’ distraction.

• Record URL:
  https://doi.org/10.52547/crpase.7.3.2392
• Record URL:
  http://crpase.com/archive/CRPASE-Vol-07-issue-03-39036362.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/61185
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/24234591
• Supplemental Notes:
  • Article ID: 2392.
• Authors:
  • Abbasi, Elahe
  • Li, Yueqing
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: 4p
• Serial:
  • Computational Research Progress in Applied Science & Engineering (CRPASE)
  • Volume: 7
  • Issue Number: 3
  • Publisher: Pearl Publication
  • ISSN: 2423-4591
  • Serial URL: http://www.crpase.com/

Subject/Index Terms

• TRT Terms: Attention; Distraction; Drivers; Evaluation; Measurement
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01784246
• Record Type: Publication
• Files: NTL, TRIS
• Created Date: Oct 6 2021 12:24PM