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이화수,조재호,임종현,이홍국,장경진,유송민,Lee, Hwa Soo,Cho, Jae Ho,Yim, Jong Hyun,Lee, Hong Guk,Chang, Kyung Jin,Yoo, Song Min 한국자동차안전학회 2015 자동차안전학회지 Vol.7 No.1
This study examined the drivers' acceptance level of various active safety features with Korean drivers on Seoul urban and city roads. The test vehicle, 2013 Cadillac ATS, was equipped with FCA(Forward Collision Alert), LDW(Lane Departure Warning), SBZA(Side Blind Zone Alert), FRPA(Front/Rear Park Assist), RCTA(Rear Cross Traffic Alert), ACC(Adaptive Cruise Control), and AEB(Autonomous Emergency Braking). Participants had chances to run the tests on those systems in the parking lot accompanied by the 106km long stretch of predetermined route including local road and interurban highway in Seoul and Gyeonggi-do under normal traffic flowing environment. After the test, participants completed a series of questionnaires about the features they experienced. The results revealed that RCTA and SBZA systems received more favourable ratings compared to the other features in avoiding crashes. The respondents preferred sound alerts to haptic ones even though haptic warning methods were better in providing directional information.
속도제한 지원장치에 대한 운전자 인식도 및 도로환경 분석
이화수,조재호,임종현,이홍국,장경진,유송민,Lee, Hwa Soo,Cho, Jae Ho,Yim, Jong Hyun,Lee, Hong Guk,Chang, Kyung Jin,Yoo, Song Min 한국자동차안전학회 2015 자동차안전학회지 Vol.7 No.3
This study examined the Korean drivers' acceptance of SAS(Speed Assistance systems) and traffic sign conditions in Korea roads for SLIF(Speed Limit Information Function) that is a part of SAS. Exceeding the speed limit is a factor in the severity of many road accidents and SAS would help the driver to observe a speed limit by warning and/or effectively limiting the speed of the vehicle. SAS are in the initial phase in Korea, Korean drivers could not be familiar with automatical speed limiting during driving, SAS interface design would be considered to be more readily acceptable to the public. And advanced SAS have been introduced onto the market which are able to inform the driver of the current speed limit based on camera and/or digital maps based SLIF. These systems are based on external data using sensors, so environmental conditions are an important factor which could cause malfunction of SLIF functions.