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

Mohammadreza Koloushani, Ali Fatemi, Masoud Tabibi and Eren Erman Ozguven

Pertanika Journal of Social Science and Humanities, Volume 28, Issue 2, June 2020

Keywords: Horizontal curve, image processing, mobile mapping system (MMS), road safety audit, speed limit sign, Support Vector Machine (SVM)

Published on: 26 June 2020

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.

ISSN 0128-7702

e-ISSN 2231-8534

Article ID

JSSH-2144-2017

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