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Adaptive Aging Safety of Guidance Marks in Rail Transit Connection Systems Based on Eye Movement Data

Author

Listed:
  • Yong Fang

    (School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China)

  • Wenli Zhang

    (School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China)

  • Hua Hu

    (School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China)

  • Jiayi Zhou

    (School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China)

  • Dianliang Xiao

    (Transportation Safety Research Center, China Academy of Transportation Sciences, Beijing 100029, China)

  • Shaojie Li

    (Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China)

Abstract

The aim of this study was to meet the visual cognition needs of the elderly population for the guidance marks and safety guidance marks of the rail transit connection system. Based on the visual characteristics of the elderly population, this paper firstly determined the visual field and sight range of the marks of the elderly population from three aspects—visual angle, visual distance, and height of the elderly population—and constructed the visual recognition space of the elderly population. Then, from the perspective of the setting position, the setting height, and the deflection angle, an adaptive aging safety design method for the guidance marks in the rail transit connection system is proposed. Then, based on the eye movement data of fixation duration, initial fixation duration, and the number of visits, a visual behavior index model is constructed to iteratively optimize the adaptive aging safety design of guidance marks in a rail transit connection system. A radar map is used to calculate the comprehensive index of visual behavior to determine the optimal scheme. Finally, taking the traffic connection system of Shanghai Songjiang University Town Station as an example, the eye movement data of 37 participants were collected, according to the principle that each connection path should only be taken once per person; the above method was used to design 7 connection path guidance marks for an adaptive aging safety design. The results showed that the comprehensive index of visual behavior of different paths had different degrees of improvement of up to 14.00%, which verified the effectiveness of the design method. The research results have certain theoretical significance and application value for the adaptive aging safety design and retrofit of guidance marks of rail transit connection systems.

Suggested Citation

  • Yong Fang & Wenli Zhang & Hua Hu & Jiayi Zhou & Dianliang Xiao & Shaojie Li, 2022. "Adaptive Aging Safety of Guidance Marks in Rail Transit Connection Systems Based on Eye Movement Data," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:725-:d:721225
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    References listed on IDEAS

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    Cited by:

    1. Liang Sun & Yao Xu & Sijing Teng & Bo Wang & Ming Li & Shanmin Ding, 2022. "Research into the Visual Saliency of Guide Signs in an Underground Commercial Street Based on an Eye-Movement Experiment," Sustainability, MDPI, vol. 14(23), pages 1-23, December.

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