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

Details

• Creators:
  Abbasi, Elahe ; Li, Yueqing
• Corporate Creators:
  Lamar University
• Corporate Contributors:
  Computational Research Progress in Applied Science & Engineering (CRPASE)
• Subject/TRT Terms:
  • Attention
  • Distraction
  • Drivers
  • Evaluation
  • Measurement
  • Driver distraction
  • Cognitive distraction
  • Vehicle-Based Measures
  • Physiological Measures
  • Behavioral Measures
  More +
• DOI:
  https://doi.org/10.52547/crpase.7.3.2392
• Resource Type:
  Journal Article
• Right Statement:
  https://creativecommons.org/licenses/by/4.0/
• Geographical Coverage:
  United States
• Corporate Publisher:
  Computational Research Progress in Applied Science & Engineering (CRPASE)
• Abstract:
  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.
• Content Notes:
  This is an open access article.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/61185/dot_61185_DS1.pdf
• File Type:
  [PDF - 304.81 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:d7b3048454cb914f75e4d3733109785cd1d755a851b504e6d0c14b50809b0599