가상주행장치를 이용한 페달 오조작에 의한 급발진 감지 알고리즘 개발 (Development of Sudden Unintended Acceleration Detection Algorithm due to Pedal Mis-operation Using Driving Simulator)

서지정보

· 발행기관 : 한국자동차공학회
· 수록지 정보 : 한국자동차공학회 논문집 / 26권 / 4호 / 440 ~ 448페이지
· 저자명 : 김동욱, 최성준, 김대규, ZHANG SHENGPENG, 박성채, 탁태오

초록

This paper proposes an algorithm for detecting sudden unintended acceleration(SUA), which is caused by a driver’s misoperation of the acceleration pedal during emergency braking situations. In order to observe the behavior of the driver and find the critical parameters for SUA detection without the risk of an accident, a special purpose driving simulator is devised, wherein the function of acceleration and braking pedals can be switched without being overlooked by drivers. In SUA situations, most drivers start to panic and keep pressing the acceleration pedal fast and hard to the limit, while some drivers manage to take their feet off the acceleration pedal upon noticing a pedal misoperation. Based on the analysis of the driver’s behavior-related parameters, pedal angular velocity is found to be the most critical indicator of SUA due to pedal misoperation. An SUA detection algorithm using the driver’s pedal contact information, vehicle longitudinal acceleration, and acceleration pedal angular velocity is proposed, which can be applied to the development of SUA detection and prevention system.

영어초록

This paper proposes an algorithm for detecting sudden unintended acceleration(SUA), which is caused by a driver’s misoperation of the acceleration pedal during emergency braking situations. In order to observe the behavior of the driver and find the critical parameters for SUA detection without the risk of an accident, a special purpose driving simulator is devised, wherein the function of acceleration and braking pedals can be switched without being overlooked by drivers. In SUA situations, most drivers start to panic and keep pressing the acceleration pedal fast and hard to the limit, while some drivers manage to take their feet off the acceleration pedal upon noticing a pedal misoperation. Based on the analysis of the driver’s behavior-related parameters, pedal angular velocity is found to be the most critical indicator of SUA due to pedal misoperation. An SUA detection algorithm using the driver’s pedal contact information, vehicle longitudinal acceleration, and acceleration pedal angular velocity is proposed, which can be applied to the development of SUA detection and prevention system.

참고자료

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