• 제목/요약/키워드: 긴급제동장치

검색결과 15건 처리시간 0.019초

자동긴급제동장치의 고령운전자 추돌사고 감소 효과 추정 (Estimation of Road Crash Reduction by Installing Automatic Emergency Braking Systems for Elderly Drivers)

  • 한상진;김은우;장효석;주종완
    • 한국ITS학회 논문지
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    • 제22권1호
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    • pp.161-171
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    • 2023
  • 고령 운전자는 다른 연령대에 비해 사망사고 유발 가능성이 높다. 2021년 교통사고 통계에 따르면 고령 운전자 1만 명당 유발한 사망자수가 1.77로 30대 운전자 0.55에 비해 2.67배 높다. 본 연구는 자동긴급제동장치(Automatic Emergency Braking System, AEBS) 설치로 고령 운전자의 추돌사고 유발 가능성을 얼마나 낮출 수 있는지 파악하기 위해 시도되었다. 이를 위해 자동차보험 데이터를 활용하여 자동긴급제동장치가 장착한 차량이 그렇지 않은 차량에 비해 얼마나 추돌사고 발생률이 낮은지 통계적 기법으로 분석하였다. 그 결과 자동긴급제동장치를 장착한 차량과 그렇지 않은 차량의 교통사고 유발 오즈비가 0.75에 그쳐 사고감소 효과가 분명히 있는 것으로 나타났다. 성별로는 남성 운전자가 0.78로 여성 운전자 0.81에 비해 사고감소 효과가 컸다. 연령별로도 65세 이상의 오즈비가 0.76으로 분석되어 교통사고 감소 효과가 있는 것으로 나타났다. 특히 남성 고령운전자가 0.49로 감소효과가 가장 높았다. 향후 고령운전자를 대상으로 자동긴급제동장치 장착 차량을 운전할 경우 보험료 할인 등 혜택을 부여한다면 추돌사고를 예방하는데 도움이 될 것으로 보인다.

긴급제동장치 작동 한계 특성에 대한 실험적 연구 (An Experimental Study on the Operating Limit Characteristics of Autonomous Emergency Braking System)

  • 김종혁;최지훈;박정우;박종진;박하선
    • 자동차안전학회지
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    • 제14권3호
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    • pp.23-29
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    • 2022
  • Among the various functions of ADAS (Advanced Driver Assistance System), the most important and representative function to the safety of vehicle passengers is AEB (Autonomous Emergency Braking system). In South Korea, laws are in progress from 2022 for making it mandatory for passenger vehicles to be installed. And as AEB-equipped vehicles continues to increase in the future, the demand for accident analysis related to the AEB function is expected to increase in the future. In order to find out the operating limits of AEB, it is necessary to consider the situations exceeding the standards covered by EuroNCAP. Therefore we have performed four experiments in this study, including situations encountered in real-word traffic conditions, i.e., an oblique stop of Global Vehicle Target (GVT) and ADAS sensor failures. These experimental results are expected to be of great help in accurate and reliable accident analysis by considering them when analyzing traffic accidents for ADAS vehicles.

자동긴급제동장치의 안전성 평가방법 (The Safety Evaluation Method of Advanced Emergency Braking System)

  • 장현익;조성우;용부중
    • 한국자동차공학회논문집
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    • 제21권5호
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    • pp.162-168
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    • 2013
  • Recently, there have been efforts in many countries to reduce social expenses and casualties resulting due to car accidents. As such, ASS (active safety systems) are being researched and developed to prevent accidents and target mitigation. Among many useful active safety systems, it has been reported that commercial AEBS (Advanced Emergency Braking System) effectively prevents accidents and reduces casualties simultaneously. Accordingly, it is necessary to set Korean AEBS standards, and this research analyzes international AEBS standards for this necessity. In addition to the evaluation methodology of AEBS ECE Regulation, this study suggests traffic scenarios that occur frequently in domestic road environments, and provides an evaluation system for AEBS of the scenarios. Finally, the performance and safety of AEBS are evaluated through field test.

실사고 기반 자동긴급제동장치 차량의 교차로 사고 경향 분석 (Analysis of Intersection Accident Trend of Autonomous Emergency Braking system Vehicle based on Actual Accident)

  • 신윤식;김문영;정재일
    • 자동차안전학회지
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    • 제15권1호
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    • pp.35-44
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    • 2023
  • The purpose of this study is to predict how the actual accident changes by reconstructing the accident with an Autonomous Emergency Braking system (AEB) based on the actual accident of the LTAP-OD (Left Turn Crossing Path - Opponent Direction) intersection. A virtual AEB sensor was developed, and 150 head-on collision accident reports were secured to the insurance company to reconstruct the accident. As a result of the accident type analysis, a total of 13 types of head-on collision accidents were derived, and it is the LTAP-OD intersection accident with the highest frequency. In the LTAP-OD intersection accident, the simulation was conducted by applying the virtual AEB of each vehicle, the accident rate decreased by 90% or more when the AEB of the left-turn vehicle was applied, and the accident rate decreased by 50%. In addition, the most frequent collision types in LTAP-OD accidents were the front bumper on the driver's side of a vehicle going straight and the front bumper on the passenger's side of a vehicle turning left.

Prescan을 활용한 ADAS 차량의 AEBS에 대한 사고 재현 시뮬레이션 연구 (A Study on the Accident Reconstruction Simulation about AEBS of ADAS Vehicle using Prescan)

  • 김종혁;이재형;김송희;최지훈;전우정
    • 자동차안전학회지
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    • 제15권4호
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    • pp.23-31
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    • 2023
  • In recent years, the technology for autonomous driving has been advancing rapidly, ADAS (Advanced Driver Assistance System) functions, which improve driver convenience and safety performance, are mostly equipped in recently released vehicles and range from level 0 to level 2 in autonomous driving technology. Among the various functions of ADAS, AEBS (Autonomous Emergency Braking System), which analyzes traffic accidents, is the most closely related to the vehicle's braking. This study developed a simulation technique for reproducing accidents related to AEBS based on real vehicle experimental data, and it was applied to the analysis of actual ADAS vehicle accidents to identify the causes of accidents.

종방향 능동안전장치의 평가기준 연구 (Study for Evaluation Standard of Longitudinal Active Safety System)

  • 장현익;용부중;조성우;최인성;민경찬;김규현
    • 자동차안전학회지
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    • 제4권1호
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    • pp.12-17
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    • 2012
  • ADAS(Advanced Driver Assistance System) which is developed for alleviating driver's load has become improved with extending it's role. Previously, ADAS offered simple function just to make driver's convenience. However, nowadays ADAS also acts as Active Safety system which is made to release and/or prevent accidents. Longitudinal control system, as one of major parts of Active Safety System, is assessed as doing direct effect on avoiding accidents. Therefore, many countries such as Europe and America has pushed longitudinal control system as a government-wide project. In this paper, it covers the result of evaluation system and vehicle evaluation for development study in FCW, ACC and AEB.

센서 범위를 고려한 자율주행자동차 교차로 충돌 상황 시뮬레이션 (Intersection Collision Situation Simulation of Automated Vehicle Considering Sensor Range)

  • 이장우;이명수;정재일
    • 자동차안전학회지
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    • 제13권4호
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    • pp.114-122
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    • 2021
  • In this paper, an automated vehicle intersection collision accident was analyzed through simulation. Recently, the more automated vehicles are distributed, the more accidents related to automated vehicles occur. Accidents may show different trends depending on the sensor characteristics of the automated vehicle and the performance of the accident prevention system. Based on NASS-CDS (National Automotive Sampling System-Crashworthiness Data System) and TAAS (Traffic Accident Analysis System), four scenarios are derived and simulations are performed. Automated vehicles are applied with a virtual system consisting of an autonomous emergency braking system and algorithms that predict the route and avoid collisions. The simulations are conducted by changing the sensor angle, vehicle speed, the range of the sensor and vehicle speed range. A range of variables considered vehicle collision were derived from the simulation.

국내 실사고 기반 자율주행차 교차로 사고 시뮬레이션 (Intersections Accident Simulation of Automated Vehicles based on Actual Accident Database)

  • 신윤식;박요한;신재곤;정재일
    • 자동차안전학회지
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    • 제13권4호
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    • pp.106-113
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    • 2021
  • In this study, The behavior of an autonomous vehicle in an intersection accident situation is predicted. Based on a representative intersection accident situation from actual intersection accident database, simulation was performed by applying the automatic emergency braking algorithm used in the autonomous driving system. Accident reconstruction was performed based on the accident report of the representative accident situation. After applying the autonomous driving system to the accident-related vehicle, the tendency of intersection accidents that may occur in autonomous vehicles was identified and analyzed.

실사고에서 AEB의 거리감지범위에 따른 승객 상해 심각도 분석 (An Evaluation of Occupant Injury Severity Based on Distance Detection Range of AEB in a Real Accident)

  • 박지양;윤영한
    • 자동차안전학회지
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    • 제11권3호
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    • pp.7-12
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    • 2019
  • AEB (Autonomous Emergency Braking system), a system in which vehicles automatically recognize forward objects or pedestrians and actively brake when forward collisions are expected, has been mandated by NHTSA (National Highway Traffic Safety Administration) and IIHS (Insurance Institute for Highway Safety) for all vehicles sell in the United States since 2022, and AEB research is also actively underway in korea. In this study, it can be confirmed that the passenger injury is reduced according to the AEB detection distance when it is assumed that the AEB is mounted in the actual event generated from KIDAS (Korea New Car Assessment Program) data through various analysis programs.

합성곱 신경망 기반 물체 인식과 탑승 감지 센서를 이용한 개인형 이동수단 주행 안전 보조 시스템 개발 (Development of Personal Mobility Safety Driving Assistance System Using CNN-Based Object Detection and Boarding Detection Sensor)

  • 손권중;배성훈;이현준
    • 한국융합학회논문지
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    • 제12권10호
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    • pp.211-218
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    • 2021
  • 최근에 전동킥보드와 같은 개인형 이동수단의 보급이 급격히 확대되면서 교통사고 발생 건수도 크게 늘고있다. 개인형 모빌리티가 자세 안정성이 낮고 탑승자가 외부로 노출되어 전도 사고나 낙상 사고의 위험이 크기 때문이다. 전동킥보드 사고 방지를 위해 본 논문은 주행 보조 장치로써 자동긴급제동시스템과 안전시동시스템을 제안하였다. 인공지능 기반 물체 인식 기술을 이용하여 주변 위험 요소를 탐지하고 자동으로 제동을 걸 수 있는 시스템을 개발하였다. 또한 운전자의 탑승이 확인되기 전까지 장치의 시동을 보류하는 안전시동시스템도 개발하였다. 상용차와 주행 조건이 매우 다른 개인형 이동 수단에 특화된 첨단 운전자 보조 시스템 융합 기술을 제안한다는 점에서 본 연구의 의의가 있다.