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

Datos Bibliográficos

ID15475953
AutoresYong Fang (0000-0001-8310-5673, Shanghai University of Engineering Science), Wenli Zhang (0000-0001-9077-4189, Shanghai University of Engineering Science), Hua Hu (0000-0002-4957-879X, Shanghai University of Engineering Science, autor de correspondencia), Jiayi Zhou (0000-0003-1173-3114, Shanghai University of Engineering Science), Dianliang Xiao (0000-0002-7172-2479, China Academy of Transportation Sciences), Shaojie Li (0000-0003-2432-0482, Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China)
Año2022
Volumen19
Número2
Páginas725-725
Fecha de publicación2022-01-10
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19020725
PMID35055546
OpenAlexW4206017297
IdiomaEN
Referencias citadas18

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

Computer vision · Eye movement · Fixation (population genetics · Population · Simulation · Color perception and design · Computer Science · Engineering · Medicine · Safety Warnings and Signage · Spatial Cognition and Navigation · Artificial Intelligence

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