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Design and Implementation of Sensor-based Secondary Vehicle Accident Prevention System

센서 기반의 차량 2차사고 방지 시스템 설계 및 구현

  • Lim, Kyung-Gyun (Dept. of Computer Science & Engineering, Gyeongnam National University of Science and Technology) ;
  • Kim, Gea-Hee (Dept. of Computer Science & Engineering, Gyeongnam National University of Science and Technology) ;
  • Jeong, Seon-Mi (Dept. of Computer Science & Engineering, Gyeongnam National University of Science and Technology) ;
  • Mun, Hyung-Jin (Division of Information & Communication Engineering, Sungkyul University) ;
  • Kim, Chang-Geun (Dept. of Computer Science & Engineering, Gyeongnam National University of Science and Technology)
  • 임경균 (경남과학기술대학교 컴퓨터공학과) ;
  • 김계희 (경남과학기술대학교 컴퓨터공학과) ;
  • 정선미 (경남과학기술대학교 컴퓨터공학과) ;
  • 문형진 (성결대학교 정보통신공학부) ;
  • 김창근 (경남과학기술대학교 컴퓨터공학과)
  • Received : 2017.10.19
  • Accepted : 2017.12.20
  • Published : 2017.12.28

Abstract

Traffic accidents in the country have steadily increased. Although IOT technologies have been applied so as to prevent the primary accident, practical solutions to prevent the secondary accident have not been suggested. A general guideline is simply recommended. In this paper, utilizing existing communication technology, we implement a proposed model and its simulation to prevent the secondary accident. When it is possible for a driver to secure visibility, the secondary accident can be prevented; In areas like tunnel, mountain terrain, and curve road with heavy traffic, where the driver has difficulty in securing the visibility, the secondary accident rates after the primary accident have been increasing. Therefore, we implement an accident prevention system that determines the primary accident utilizing sensor technology and prevents the secondary accident communicating through V2V or V2I. After the simulation, we found that the proposed model and the existing model made no difference with regard to the secondary accident rates when the visibility of the driver is secured; With the application of the proposed model, however, the accident rates decreased for 3-7 percent even though the visibility and communication were not secured.

Acknowledgement

Supported by : Gyeongnam National University of Science and Technology

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