PURPOSES : In this study, the factors affecting the severity of traffic accidents in highway tunnel sections were analyzed. The main lines of the highway and tunnel sections were compared, and factors affecting the severity of accidents were derived for each tunnel section, such as the tunnel access zone and tunnel inner zone. METHODS : An ordered probit model (OPM) was employed to estimate the factors affecting accident severity. The accident grade, which indicates the severity of highway traffic accidents, was set as the dependent variable. In addition, human, environmental, road condition, accident, and tunnel factors were collected and set as independent variables of the model. Marginal effects were examined to analyze how the derived influential factors affected the severity of each accident. RESULTS : As a result of the OPM analysis, accident factors were found to be influential in increasing the seriousness of the accident in all sections. Environmental factors, road conditions, and accident factors were identified as the main influential factors in the tunnel access zone. In contrast, accident and tunnel factors in the tunnel inner zone were found to be the influencing factors. In particular, it was found that serious accidents (A, B) occurred in all sections when a rollover accident occurred. CONCLUSIONS : This study confirmed that the influencing factors and the probability of accident occurrence differed between the tunnel access zone and inner zone. Most importantly, when the vehicle was overturned after the accident occurred, the results of the influencing factors were different. Therefore, the results can be used as a reference for establishing safety management strategies for tunnels or underground roads.

PURPOSES : The purpose of this study is to understand the effect of installing highway rest areas reflecting continuous driving time as a factor that can affect drowsy driving. METHODS : In this study, various models were tested for representing the effect of reducing accidents of highway rest areas. Among the various models including negative binomial, a series of the zero-inflated models reflecting accidents, the zero-inflated model showed the best suitability. RESULTS : According to the results of the zero inflated negative binomial model, installation of highway rest areas was found to have an accident reduction effect of approximately 11.93%. This is somewhat lower than the accident reduction effect estimated in previous studies. In addition, variables related to continuous driving time were found to affect accidents caused by drowsy driving. CONCLUSIONS : Basically, by using the continuous driving time index, a vehicle that has been driving continuously for more than 2 hours or if the continuous driving time is increased for more than 2 hours, the probability of accidents increases. However, in the case of trucks, a more in-depth study is needed on whether an increase in trucks induces defensive driving of other vehicles and this causes a reduction in accidents. Thus, it is necessary to use the variable cautiously for the highway rest area installation plan.

최근 고속도로 사고발생량은 감소하고 있는 반면 치사율은 증가하는 추세임에 따라 고속도로의 교통사고 감소 및 안전성 향상을 위한 많은 노력이 요구된다. 특히, 고속도로의 경우 사고다발지점의 등급별 관리기준을 선정하여 관리하고 있어 이에 대한 등급별 사고 영향 인자를 파악하는 것이 세부적으로 필요하다. 따라서 본 연구에서는 우리나라에서 가장 이용률이 높은 경부고속도로를 대상으로 해당구간 내 사고지점에 대한 등급별 데이터를 기준으로 주변환경 요인 중 교통사고에 영향을 미치는 요인을 검토하고, 사고특성을 분석하여 사고등급을 결정지을 수 있는 사고예측모형을 개발하였다. 사고관련 변수 중 고정변수인 기하구조를 기준으로 종속변수와 독립변수의 특성을 고려한 수량화이론 제2류 기법을 이용하여 모형을 구축한 결과, 사고등급에 영향을 미치는 변수로는 평면선형의 경우 승합차종과 차대 사람이, 종단구배는 트레일러 특수차량과 차대 사람, 방책시설은 주시태만과 흐린 날씨가 공통인자로 분석되었다.

고속도로에서 교통사고에 중요한 두 영향요소는 운전자요소와 도로환경요소로 구분되어 진다. 그동안 여러 연구에서 도로환경요소중 설계요소로 알려진 곡선반경, 종단경사, 편경사, 관찰속도와 교통사고와 관련성을 연구하였고 그 밀접한 관련성을 제시하고자 하였다. 본 논문에서는 이들 관련요소 크기가 교통사고와 관련성이 깊다는 사실에 대하여 상관관계분석을 통하여 확인하고자 하였다. 이에 더하여 이들 설계관련요소의 표준편차를 설계일관성으로 정의하고 교통사고의 증감과 비교하여 봄으로써 표준편차로 특징 지워지는 설계요소와 설계속도의 일관성이 교통사고 발생과 상관성이 깊다는 사실을 도출하였다. 본 논문의 결과는 선형설계과정에서 설계일관성의 수치화된 활용을 더 활성화시킬 것으로 기대된다.