{"title":"Quantitative assessment of driver visibility of a cyclist though computer model","authors":"Rina Maiti","doi":"10.1016/j.ergon.2024.103692","DOIUrl":null,"url":null,"abstract":"<div><div>Quantitative assessment of truck driver visibility of the on-road cyclist is very complex in nature. In this present study, a sophisticated computer model is developed based on perspective projection of the cyclist on the image plane along with driver's Field-of-View (FOV) region. The visual acuity angle is calculated on these cyclist images. The result shows that the presence of cyclists in the FOV region does not ensure the driver's visibility of cyclists as FOV depends on the angles of incident-ray originated from the eyepoint on convex mirror curved surface independent of cyclist image on the mirror plane. Visual acuity angle results shows difficulty level of driver's visibility. Recommended ground plane visibility region is insufficient to ensure the driver visibility of actual road users. This result also highlights different on-road safety hazards related to driver visibility. A solution is proposed on the placement of passenger side rare-view mirror for better visibility.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"106 ","pages":"Article 103692"},"PeriodicalIF":2.5000,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169814124001483","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Quantitative assessment of truck driver visibility of the on-road cyclist is very complex in nature. In this present study, a sophisticated computer model is developed based on perspective projection of the cyclist on the image plane along with driver's Field-of-View (FOV) region. The visual acuity angle is calculated on these cyclist images. The result shows that the presence of cyclists in the FOV region does not ensure the driver's visibility of cyclists as FOV depends on the angles of incident-ray originated from the eyepoint on convex mirror curved surface independent of cyclist image on the mirror plane. Visual acuity angle results shows difficulty level of driver's visibility. Recommended ground plane visibility region is insufficient to ensure the driver visibility of actual road users. This result also highlights different on-road safety hazards related to driver visibility. A solution is proposed on the placement of passenger side rare-view mirror for better visibility.
期刊介绍：
The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.
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