한국자동차공학회논문집 (Transactions of the Korean Society of Automotive Engineers)

  • 제22권5호
  • /
  • Pages.126-135
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  • 2014
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  • 1225-6382(pISSN)
  • /
  • 2234-0149(eISSN)
한국자동차공학회 (The Korean Society of Automotive Engineers)
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V2X 및 환경 센서 융합 기반 교차로 안전 시스템 알고리즘 개발

Development of Control Algorithm for Intersection Safety System Using the Fusion of V2X and Environmental Sensors

  • 박만복 (서울대학교 지능형융합시스템학과) ;
  • 이상현 (만도 전자개발3팀) ;
  • 전시범 (만도 전자개발3팀) ;
  • 기석철 (만도 전자개발3팀) ;
  • 김정범 (서울대학교 기계항공공학부) ;
  • 기창돈 (서울대학교 기계항공공학부) ;
  • 김규원 (서울대학교 기계항공공학부) ;
  • 이경수 (서울대학교 기계항공공학부)
  • Park, Manbok (Department of Intelligence Convergence System, Seoul National University) ;
  • Lee, Sanghyun (Electronics Development Team 3, Mando Corporation) ;
  • Jun, Sibum (Electronics Development Team 3, Mando Corporation) ;
  • Kee, Seokcheol (Electronics Development Team 3, Mando Corporation) ;
  • Kim, Jungbeom (School of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Kee, Changdon (School of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Kim, Kyuwon (School of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Yi, Kyongsu (School of Mechanical and Aerospace Engineering, Seoul National University)
  • 투고 : 2014.04.10
  • 심사 : 2014.04.17
  • 발행 : 2014.07.01
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초록

This paper describes the development and verification of control algorithms for V2X and environmental sensor integrated intersection support and safety systems. The objective of the research is to develop core technologies for effective fusion of V2X and environmental sensors and to develop new safety function for intersection safety. One of core technologies is to achieve the improvement of GPS accuracy, and the other is to develop the algorithm of a vehicle identification which matches all data from V2X, vehicle sensors and environmental sensors to specific vehicles. A intersection optimal pass (IOP) algorithm is designed based on these core technologies. IOP recommends appropriate speed to pass the intersection in the consideration of traffic light signal and preceeding vehicle existence. Another function is developed to prevent a collision avoidance when car crash caused by traffic violation of surrounding vehicles is expected. Finally all functions are implemented and tested in three test vehicles. It is shown that IOP can support convenient and comfortable driving with recommending optimal pass speed and collision avoidance algorithm can effectively prevent collision caused by traffic sign violation of surrounding vehicles.

키워드

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