Analysis of Visual Search Characteristics Based on Drivers’ Hazard Perception

In order to study the driver’s visual search characteristics, eye movement analysis is used to measure drivers’ hazard perception in different scenarios. The mechanical division method is used to divide the field of driver’s vision into five areas, considered potential danger miss rate as the indicator of the driver’s hazard perception evaluation to analysis drivers’ visual search characteristics, and the saccade or fixation in the driver’s hazard perception process. Results show that drivers mainly obtain traffic information through near area in front of road, distant area in front of road, and potentially dangerous source areas. Drivers with high hazard perception have a wider visual search range, which can identify potential dangers more quickly and accurately. Moreover, drivers with high hazard perception tend to pay more visual attention to near road and the danger area, the visual search scope is more comprehensive, and the visual search strategy is more effective.

• Record URL:
  • https://doi.org/10.1061/9780784482933.322
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482933
• Supplemental Notes:
  • © 2020 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wu, Tao
  • Yang, Jing-Shuai
  • Sun, Jian
  • Dai, Chang-Hong
  • Li, Xiang-Hong
• Conference:
  • 20th COTA International Conference of Transportation Professionals
  • Location: Xi’an , China
  • Date: 2020-8-14 to 2020-8-16
• Publication Date: 2020-8

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 3742-3753
• Monograph Title: CICTP 2020: Advanced Transportation Technologies and Development-Enhancing Connections

Subject/Index Terms

• TRT Terms: Drivers; Eye movements; Hazard evaluation; Traffic safety; Visual perception
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01749013
• Record Type: Publication
• ISBN: 9780784482933
• Files: TRIS, ASCE
• Created Date: Aug 27 2020 10:16AM