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Author:

Liu, Bohua (Liu, Bohua.) | Sun, Lishan (Sun, Lishan.) (Scholars:孙立山) | Rong, Jian (Rong, Jian.) (Scholars:荣建)

Indexed by:

EI Scopus PKU CSCD

Abstract:

A dynamic visual cognition experiment was carried out in driving simulation barn with eye tracker system to get drivers' eye movement parameters when they were reading traffic signs with various information quantities in different speeds. The eye movement parameters include fixation number and duration. Driver's visual area was divided into three areas using dynamic cluster method. Further analysis was conducted on the eye movement parameters of the three areas. Findings were discussed in this paper: the fixation distribution has a high correlation with driving speed and information quantity. As the driving speed and information quantity increased, the fixation number and duration in traffic sign area have an increasing trend and drivers have less visual cognition to front lane. When the guide signs have more than five amount of information, drivers' fixation number and duration have an abrupt change and the effectiveness of visual cognition decreased significantly. It is recommended that the highway traffic guide sign information volume should not exceed 5. Under the same condition, the driver needs more fixation when recognizing non-guide signs and the visual cognition process is more complicated. © 2011 China Association for Science and Technology.

Keyword:

Traffic signs Cluster analysis Highway engineering Eye movements Computer simulation Eye tracking

Author Community:

  • [ 1 ] [Liu, Bohua]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Sun, Lishan]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Rong, Jian]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1570-6672

Year: 2011

Issue: 4

Volume: 11

Page: 22-27

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 50

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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