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김근혁 ( Keun Hyuk Kim ),임준범 ( Joon Bum Lim ),이수범 ( Soo Beom Lee ),김주희 ( Joo Hee Kim ),김선미 ( Sun Mi Kim ) 한국안전학회(구 한국산업안전학회) 2012 한국안전학회지 Vol.27 No.5
Two experiment are planed to identify driver`s safe driving behaviour by curve radius, road surface condition in curve section, At four-lane and two-lane road, conducted experiments are check on driver`s feeling of safety that 30 subjects do not feel discomfort, And using the data from these experiments, this study compare physical speed (not slipping, fall our of the road) with safety driving speed (drivers felt a comfortable and safe speed) each curve radius and fiver road surface condition (drying, wet, rain, snow and ice). As a result, safe driving behaviour factors that are derived to curve radius of 100m units, five road surface conditions enable to represent quantitative analysis of driver`s discomfort. This study will develop road design method and evaluation reflected ergonomic aspects.
주행속도와 기하구조에 따른 운전자 불안뇌파 분석 -고속주행시를 중심으로-
임준범 ( Joon Bum Lim ),이수범 ( Soo Beom Lee ),김근혁 ( Keun Hyuk Kim ),김상엽 ( Sang Youp Kim ),최재성 ( Jai Sung Choi ) 한국안전학회(구-한국산업안전학회) 2012 한국안전학회지 Vol.27 No.3
For establishing a standard of design element of the smart highway, this study investigated driver`s anxiety EEG according to running speeds and geometric designs. Also, the experiment was implemented on 60 subjects. Based on running speed data and brainwave data, which were obtained from the experiment, this study analyzes anxiety EEG according to running speeds and geometric designs, and finally draws a forecasting model of anxiety EEG by selecting affecting factors of anxiety EEG. Forecasting model shows that left curve is the most influential on anxiety EEG figure. The reason is because when driver is driving on the first-lane, his or her visibility is impeded by a median strip. For this reason, anxiety EEG figure increases. And also steep downward slope and large radius of curve are heavily influential on driver`s anxiety EEG figure. It is judged that anxiety EEG figure is increased by high speed on those section. Thus, the forecasting model of anxiety EEG suggested on this study will be utilized for design phase, and will decide the design speed on the superhighway. So, it will be used to make practical and safety road