PURPOSES: This study analyzed the differences in drivers’behaviors and car movements between drowsy driving conditions and normal driving. METHODS: This study analyzed behavior data from 32 participants and the related car movement data in a field test under drowsy driving and normal driving conditions. Acquired data were closed-eye time, distance between the test car and the left lane, distance between the test car and the right lane, driving speed, video clip of the driver’s face during driving, and so on. A total of 30 samples for drowsy driving and normal driving were selected once errors had been excluded. RESULTS: There were three factors that differed between drowsy driving and normal driving conditions: closed-eye time, distance between the test car and the left lane, and distance between the test car and the right lane. These results were significant at the 0.05 level. CONCLUSIONS : This study shows that there are three factors that vary significantly between drowsy driving and normal driving conditions that can be useful for detecting drowsy driving. Future studies should be designed with these results in mind, further considering, age, type of road, study site, and so on.

PURPOSES: This study was initiated to estimate the benefits from the campaign to prevent drowsy driving crashes on expressways. The study was conducted by the Korea Expressway Corporation using a contingent valuation method. METHODS : First, a questionnaire was designed for a preliminary survey. From the survey’s results, the initial willingness to pay for the campaign was determined by averaging different amounts of payments chosen under virtual scenarios in the survey. The willingness to pay data was used to find a first bid price for the open-ended method used for the second survey. After that, a primary questionnaire was designed and conducted using a single dichotomous choice question (SDBCQ). Drivers at expressway resting areas were asked their willingness to pay for the campaign. Based on statistical analysis using data collected from the second survey, the mean willingness to pay was estimated using a probability utility function. Finally, the benefit from the campaign was calculated using the estimated willingness to pay and accident data on expressways. CONCLUSIONS : Based on the result from the contingent valuation method, the benefit from the campaign to prevent drowsy driving crashes was estimated to be 170.6 won per expressway trip. The benefit is to be paid as an additional toll. In addition, the traffic crash cost estimate is about 2,209,680,000 won less than the cost during the same period in 2014.

본 연구는 졸음운전의 지표로 예상되는 심전도의 LF/HF 비율이 효과적으로 졸음운전을 예측하는지를 검증하는 것이었다. 본 연구는 총 31명이 참가하였으며, 가상 운전시뮬레이션 과제를 활용하여 진행하였다. 수면박탈이 운전 중 LF/HF 비율에 영향을 미치는지를 검증하기 위해 충분한 수면을 취한 조건과 수면이 박탈된 조건으로 실험을 실시하였다. 충분한 수면을 취한 조건에서 참가자는 전날 6시간 이상의 수면을 취한 후 30분동안 진행되는 가상 운전과제를 수행하였다. 수면이 박탈된 조건에서는 실험에 참여하기 전날에 참가자가 5시간 이하의 수면을 취하도록 유도한 후 60분 동안 진행되는 가상 운전 과제에 참여하도록 하였다. 참가자는 두 조건 모두에서 심전도를 측정할 수 있는 장비를 착용한 상태로 가상 운전 과제를 수행하였다. LF/HF 비율과 지각된 졸음운전과의 관계성을 확인하기 위해서 참가자가 가상 운전 과제를 수행하는 동안 10분간격으로 주관적 졸림정도를 측정하였다. 실험 결과 충분한 수면을 취한 조건보다 수면박탈 조건에서 참가자의 LF/HF 비율이 감소하였으며, 동일하게 주관적 졸림정도는 증가하였다. 또한 주관적 졸림정도가 LF/HF비율을 예측하는 것으로 나타났다. 따라서 LF/HF 비율을 통한 졸음 운전 예측은 타당한 것으로 나타났다.