Introducing Automatic Control Method of Safety Standards in Horizontal Curves by Processing Images Taken by Mobile Mapping System.

The Mobile Mapping System is a trend that provides a comprehensive database of information including video images. The goal of this paper is to introduce an image processing method that could be integrated with GPS data to automatically control the road safety standards for speed limit signs before...

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Publicado en:Pertanika Journal of Social Sciences & Humanities Vol. 28; no. 2; pp. 1567 - 1580
Autores principales: Koloushani, Mohammadreza, Fatemi, Ali, Tabibi, Masoud, Ozguven, Eren Erman
Formato: Artículo
Publicado: Universiti Putra Malaysia Jun2020
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2020
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        atl: Introducing Automatic Control Method of Safety Standards in Horizontal Curves by Processing Images Taken by Mobile Mapping System.
      aug:
        au:
          Koloushani, Mohammadreza
          Fatemi, Ali
          Tabibi, Masoud
          Ozguven, Eren Erman
        affil:
          Department of Civil and Environmental Engineering, Florida A&M University-Florida State University College of Engineering, 32310 Florida, USA
          Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7491 Trondheim, Norway
          Road Traffic Injury Research Center, Faculty of Health, Tabriz University of Medical Sciences, 5166615731 Tabriz, Iran
      su:
        Global Positioning System
        Road safety measures
        Automatic control systems
        Support vector machines
        Pattern perception
      sug:
        subj:
          Global Positioning System
          Road safety measures
          Automatic control systems
          Support vector machines
          Pattern perception
      keyword:
        Horizontal curve
        image processing
        mobile mapping system (MMS)
        road safety audit
        speed limit sign
        Support Vector Machine (SVM)
      ab: The Mobile Mapping System is a trend that provides a comprehensive database of information including video images. The goal of this paper is to introduce an image processing method that could be integrated with GPS data to automatically control the road safety standards for speed limit signs before horizontal curves and identify the problems. The proposed method introduced a new trend in the area of image processing and pattern recognition. The results substantiated a high percentage of success in identification and accuracy in sign distinction. Application of support vector machine led to 92% accuracy in the identification of the signs and 97% accuracy in speed limit distinction.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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