Visual Recognition Analysis of Optically Long Tunnels: Interaction of Dynamic Vision and Visual Perception

  • Haoran Zheng
  • , Soora Rasouli
  • , Zhigang Du (Corresponding author)
  • , Shoushuo Wang (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
112 Downloads (Pure)

Abstract

To understand the relation between the geometric design of optically long tunnels and visibility of the exit area, in this study oculomotor (eye movement) data are collected from several drivers in Yunnan Province, China, and drivers’ fixation rate and saccade amplitude in the visible zone of the tunnel are measured as key indicators. The driver’s visual recognition is analyzed and key elements in the optimal design of the exit points of optically long tunnels are discussed. The results show that visual recognition is closely associated with the radius of the road curvature: as the radius of curve decreases, the visual focus is gradually attracted to the inner side of the curve, the proportion of small-angle saccade increases, and the dispersion of the saccade amplitude decreases.
Original languageEnglish
Pages (from-to)489-503
Number of pages15
JournalTransportation Research Record
Volume2678
Issue number6
Early online date21 Sept 2023
DOIs
Publication statusPublished - Jun 2024

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the National Natural Science Foundation of China (grant number 52072291).

FundersFunder number
National Natural Science Foundation of China52072291

    Keywords

    • cognitive workload
    • driver perception
    • hazard perception
    • human factors in roadway design
    • human factors of vehicles

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