International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Intelligence Transportation Safety Information System

  • Hong, YouSik (Department of Computer Scienve Professor, Sangji University) ;
  • Park, Chun Kwan (Department of Marine Information Communication Engineering, Mokpo National Marine University) ;
  • Cho, Seongsoo (Department of Electronic Engineering, Kwangwoon University) ;
  • Hong, Suck-Joo (Corporation of Industrial Educational Programs, Mokwon University)
  • Received : 2014.05.15
  • Accepted : 2014.08.10
  • Published : 2014.08.31
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Abstract

These days the large-scale car accidents have often been occurred by overspeeding in disregard of sharp curve, foggy and freezing regions. This paper has proposed the algorithm to calculate the safety speed in real time that can protect the car accidents under these weather and road conditions using Fuzzy reasoning theory. Under raining and snowing, drivers have to slow down the traffic safety speed by 1/3 of the traffic safety speed indicated on the existing speed sign plate based on their decision. So it is difficult to calculate and then observe the safety speed. This paper has performed the simulation that provides the deivers with the optimal safety speed considering the road and weather conditions in real time to improve these problems. We have proved this method can improve more 25% than the existing one.

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