RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      전방충돌경보(FCW)의 교통안전 증진효과 추정 = Estimation of Traffic Safety Improvement Effect of Forward Collision Warning (FCW)

      한글로보기

      https://www.riss.kr/link?id=A107398796

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      The Forward Collision Warning, a representative technology of the Advanced Driver Assistance Systems, was selected as the target technology. The cognitive response time, deceleration, and impact were selected as the measures of effectiveness. And the amount of change with and without the Forward Collision Warning was measured. The experimental scenarios included a sudden stop event (1) of the vehicle in front of the driver and an event (2) in which the vehicle intervened in the next lane. All experiments were divided into day and night. As a result of the analysis, response time and the deceleration rate decreased when the forward collision warning system was installed. It was analyzed that the driver's risk situation could be detected quickly and the number of front-end collisions could be reduced as a result. Reflecting the driver's operating habits and diversifying the experimental scenarios will increase the installation effectiveness of ADAS and be used to estimate the effectiveness of other technologies.
      번역하기

      The Forward Collision Warning, a representative technology of the Advanced Driver Assistance Systems, was selected as the target technology. The cognitive response time, deceleration, and impact were selected as the measures of effectiveness. And the ...

      The Forward Collision Warning, a representative technology of the Advanced Driver Assistance Systems, was selected as the target technology. The cognitive response time, deceleration, and impact were selected as the measures of effectiveness. And the amount of change with and without the Forward Collision Warning was measured. The experimental scenarios included a sudden stop event (1) of the vehicle in front of the driver and an event (2) in which the vehicle intervened in the next lane. All experiments were divided into day and night. As a result of the analysis, response time and the deceleration rate decreased when the forward collision warning system was installed. It was analyzed that the driver's risk situation could be detected quickly and the number of front-end collisions could be reduced as a result. Reflecting the driver's operating habits and diversifying the experimental scenarios will increase the installation effectiveness of ADAS and be used to estimate the effectiveness of other technologies.

      더보기

      참고문헌 (Reference)

      1 AAAFoundation for Traffic Safety, "Vehicle Owner’s Experiences with and Reactions to Advanced Driver Assistance Systems"

      2 Yeşim Ü., "Traffic climate and driver behaviors: Explicit and implicit measures" 62 : 805-818, 2019

      3 "Traffic Accident Analysis System"

      4 Adell E., "The effects of a driver assistance system for safe speed and safe distance-A real-life field study" 19 : 145-155, 2011

      5 Adrian I. D., "Effects of smartphone based advanced driver assistance system on distracted driving behavior: A simulator study" 83 : 1-7, 2018

      6 Insurance Institute for Highway Safety, "Effectiveness of Forward Collision Warning Systems with and without Autonomous Emergency Braking in Reducing Police-Reported Crash Rates"

      7 Insurance Institute for Highway Safety, "Crash test report-FCW"

      8 Eleonora P., "Analysis of driver behaviour through smartphone data: The case of mobile phone use while driving" 119 : 91-97, 2018

      9 James M. F., "Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data" 119 : 76-83, 2019

      10 Nengchao L., "A field operational test in China: Exploring the effect of an advanced driver assistance system on driving performance and braking behavior" 65 : 730-747, 2019

      1 AAAFoundation for Traffic Safety, "Vehicle Owner’s Experiences with and Reactions to Advanced Driver Assistance Systems"

      2 Yeşim Ü., "Traffic climate and driver behaviors: Explicit and implicit measures" 62 : 805-818, 2019

      3 "Traffic Accident Analysis System"

      4 Adell E., "The effects of a driver assistance system for safe speed and safe distance-A real-life field study" 19 : 145-155, 2011

      5 Adrian I. D., "Effects of smartphone based advanced driver assistance system on distracted driving behavior: A simulator study" 83 : 1-7, 2018

      6 Insurance Institute for Highway Safety, "Effectiveness of Forward Collision Warning Systems with and without Autonomous Emergency Braking in Reducing Police-Reported Crash Rates"

      7 Insurance Institute for Highway Safety, "Crash test report-FCW"

      8 Eleonora P., "Analysis of driver behaviour through smartphone data: The case of mobile phone use while driving" 119 : 91-97, 2018

      9 James M. F., "Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data" 119 : 76-83, 2019

      10 Nengchao L., "A field operational test in China: Exploring the effect of an advanced driver assistance system on driving performance and braking behavior" 65 : 730-747, 2019

      11 Francesco B., "A Collision Warning System for rear-end collision: A driving simulator study" 20 : 676-686, 2011

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2028 평가예정 재인증평가 신청대상 (재인증)
      2022-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 학술지명변경 외국어명 : The Journal of The Korea Institute of Intelligent Transport Systems -> The Journal of The Korea Institute of Intelligent Transportation Systems KCI등재
      2012-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2009-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2008-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2006-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.36 0.36 0.31
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.28 0.25 0.646 0.12
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼