Drivers' Visual Feature Variation in Long-Tunnel Exit of Expressway

To improve the comfort of information cognition and safety in expressway long-tunnel exit, and to study the variation of drivers' visual features in expressway long-tunnel exit, medium passenger vehicle was used to perform driving test in real tunnel environment. Parameters of visual features were recorded using eye tracking system when vehicles traversed the section from 200 meters inside the tunnel to another spot 200 meters outside the tunnel. Mathematic models of drivers' fixation duration, the number of fixations, and saccade amplitude in the tunnel exit were established based on BP Neural Network (Error Back Propagation Network) simulation. Results showed that as the vehicle moving closer to the tunnel exit, fixation duration and the number of fixations gradually decreased, while saccade amplitude increased. After drivers left the tunnel exit, fixation duration slightly decreased and the number of fixations increased, while saccade amplitude was slightly bigger than that inside the tunnel, only with litter amplitude variation.

• Record URL:
  https://doi.org/10.1061/41177(415)7
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411773
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhao, Wen-hua
  • Liu, Hao-xue
• Conference:
  • First International Conference on Transportation Information and Safety (ICTIS)
  • Location: Wuhan , China
  • Date: 2011-6-30 to 2011-7-2
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 45-52
• Monograph Title: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation

Subject/Index Terms

• TRT Terms: Drivers; Neural networks; Traffic safety; Vehicular tunnels; Visual perception
• Subject Areas: Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01485694
• Record Type: Publication
• ISBN: 9780784411773
• Files: TLIB, TRIS, ASCE
• Created Date: Jul 3 2013 4:48PM