Research on Optimization Method of Visual Guidance System at Entrance Zone of Expressway Tunnel Based on Visual Transfer Characteristics
编号:1162 访问权限:仅限参会人 更新:2021-12-03 10:38:00 浏览:83次 张贴报告

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摘要
In order to further analyze the influence of the visual guidance facilities at entrance area of the expressway tunnel on the driver's vision, 30 drivers were selected for indoor simulation test, and the drivers' visual parameters were collected by an eye tracker. The human visual zone was divided into five regions to analyze the drivers' visual transfer characteristics. The results showed that: (1) In the analysis of fixation points one step transition, before the improvement, the greater form of transition probability of the drivers' fixation points at identification zone (0.378), access zone (0.322), and threshold zone (0.382) was respectively near front - near front, top front – top front, top front - near front; After the improvement, the greater form of transition probability of the drivers' fixation points at identification zone (0.533), access zone (0.613), and threshold zone (0.657) was respectively far front - far front; It showed that the drivers' fixation points were concentrated in near front of the road and the fixation distance was closer before the improvement, while that were concentrated in far front of the road and the fixation distance was farther after the improvement. (2) In the analysis of fixation points stationary distribution, before the improvement, the drivers' fixation points at identification zone (0.321), access zone (0.226), and threshold zone (0.334) appeared in near front of the road with a high probability; After the improvement, the drivers' fixation points at identification zone (0.461), access zone (0.489), and threshold zone (0.598) appeared in far front of the road with a high probability; It showed that the improvement measure made the drivers' fixation points more likely to stay in far front of the road and the directional inducibility was better.
关键词
CICTP
报告人
Shoushuo Wang
Wuhan University of Technology

稿件作者
Shoushuo Wang Wuhan University of Technology
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

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Chang'an University
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