겨울철 국내 도로 결빙으로 인한 교통사고가 증가하는 추세를 보이고 있으며 2018년~2022년까지 총 4,609건의 결빙 교통사고가 발 생하였다. 결빙 교통사고의 치사율은 2.3으로 일반적인 교통사고와 비교하여 높은 치사율을 보이며 최근 5년(2018~2022)동안 결빙 교 통사고로 인하여 107명이 사망자와 7,728명의 부상자가 발생하였다. 현재 국토교통부에서 제시한 결빙 취약구간 평가기준표에 따라 결 빙 위험 구간을 지정하고 있으나, 해당 기준은 결빙의 주요 요인으로 고려되는 기상조건을 충분히 반영하지 못하고 있다. 도로 결빙은 노면온도가 0℃ 이하이며 노면에 수분이 공급될 때 형성되며 기온, 구름량, 풍속, 풍향, 상대습도, 강수량 등의 기상인자들이 복합적으 로 작용하여 결빙이 발생한다는 점을 고려하였을 때, 기상 특성은 도로 결빙의 주요 인자로 판단된다. 따라서 국내 결빙 취약구간 평 가기준의 개선이 필요하며 본 연구의 목적은 국내 결빙 교통사고 데이터를 분석하고 결빙이 형성되는 기상 조건을 구체화하는 것이다. 분석을 위한 데이터로 2018년~2022년까지 5년동안 발생한 결빙사고 사례와 기상청 방재기상관측소(AWS)에서 제공하는 기상 데이터 를 적용하였다. 이후, 박스도표, 확률밀도함수 등의 통계분석을 적용하여 결빙 형성 기상 조건을 구체화하였다. 이를 통하여 기존 결빙 취약구간 평가기준의 기상학적 개선 방향성을 제시할 수 있으며 더 나아가 도로 결빙 예측 로직 개발을 기대할 수 있다.

본 연구는 도로 노면결빙 판정 알고리즘에 대해 알고리즘을 개선하고 실제 현장 측정 자료와 알고리즘 예측값을 비교하였을 때 알고리즘에 대한 적중률을 분석하였다. 분석을 위하여 포천시 신북면 금 동리의 도로 및 기상을 측정하였다. 알고리즘은 기존 도로 결빙 알고리즘을 선정하여 실제 결빙 조건 및 측정 수치에 맞춰 4차 알고리즘까지 개선하였다. 최종적으로 응결에 의한 결빙, 강수에 의한 결빙, 적설에 의한 결빙, 결빙상태의 지속, 풍속에 의한 결빙 5개의 알고리즘을 제작하였다. 포천 현장에서 알고리즘을 활용하여 예측할 경우 경우 결빙 적중률이 93.22%까지 개선되었다. 결빙 알고리즘에 대한 조합 비율에 대 해 도출하였을 때 응결에 의한 결빙과 결빙상태의 지속에 대한 알고리즘이 96%를 차지하였다.

PURPOSES: The purpose of this study is to identify the key factors that influence a driver’s trust in road-freezing risk information METHODS : A survey was designed and conducted in the metropolitan area to analyze drivers’perception towards road-freezing risk information. A binary logistic regression model was developed based on the survey responses. The statistically significant model coefficients were determined and their odds ratios were calculated. Finally, they were considered as the key factors influencing drivers’trust in roadfreezing risk information. RESULTS : The developed binary logistic regression model was validated through statistical tests. The final results indicated that previous experiences of accidents on slippery roads, as well as route choice patterns are statistically significant, having 95% confidence levels. CONCLUSIONS : Previous experiences of accidents on slippery roads and road choice patterns are the factors that most significantly influence drivers’trust in road-freezing risk information. The findings of this study will be used as fundamental data in establishing tailored road-freezing risk mitigation procedures and services.

The snow melting system by electric heating wires which is adopted in this research is a part of road facilities to keep surface temperature of the road higher than freezing point of water for melting the snow accumulated on it. The electric heating wires are buried under paved road at a certain depth and operated automatically and manually. Design theory, amount of heating, and installation standard vary according to economic situation, weather condition, installation place and each country applying the system. A main purpose of this study is figuring out the appropriate range of required heat capacity and installation depth and pitch for solving snowdrifts and freezing problems with minimum electric power consumption. This study was performed under the ambient air temperature(-2℃, -5℃), the pitches of the electric heating wires(200 mm, 300 mm), heating value(250 W/m2, 300 W/m2, 350 W/m2).

동절기에 대기온도가 영하로 내려감에 따라 포장하부층의 동결 및 응해가 반복되어 포장체의 구조적 성능이 저하된다. 이를 방지하기 위하여 동상에 대한 많은 연구가 수행되었으며, 그 결과, 우리나라 전역의 동결지수선도가 작성되어 동상방지층 설계 등의 도로건설에 이용되고 있다. 하지만, 포장층의 두께와 재료, 그리고 지형에 따른 동결심도의 변화에 대한 조사가 체계적으로 이루어지지 않아 현행 동상방지층 설계의 유효성에 대한 평가가 시급한 실정이다. 본 논문에서는 한국도로공사 시험도로에서 측정되는 대기온도 자료와 콘크리트 및 아스팔트 포장의 깊이별 온도 및 함수량 자료를 이용하여, 시험도로의 동결지수 및 동결가능 깊이를 조사하였다. 또한, 조사된 결과를 기존의 동결심도 추정식에 의한 결과와 비교하였다. 본 연구는 시험도로에서 측정된 동결 관련자료에 대한 초기연구로서 , 장기적인 자료의 축적과 분석을 통하여 보다 신뢰성 있는 결과가 도출될 수 있을 것으로 판단된다.

Road freezing caused by snowfall during wintertime causes traffic congestion and many accidents. To prevent such problems, we developed, in this study, a system to predict road freezing based on weather forecast data and the freezing generation modules. The weather forecast data were obtained from a high-resolution model with 1 km resolution for Jeju Island from 00:00 KST on December 1, 2017, to 23:00 KST on February 28, 2018. The results of the weather forecast data show that index of agreement (IOA) temperature was higher than 0.85 at all points, and that for wind speed was higher than 0.7 except in Seogwipo city. In order to evaluate the results of the freezing predictions, we used model evaluation metrics obtained from a confusion matrix. These metrics revealed that, the Imacho module showed good performance in precision and accuracy and that the Karlsson module showed good performance in specificity and FP rate. In particular, Cohen’s kappa value was shown to be excellent for both modules, demonstrating that the algorithm is reliable. The superiority of both the modules shows that the new system can prevent traffic problems related to road freezing in the Jeju area during wintertime.

In the Gangwon province, severe freezing damage to road tunnels are occurred due to freezing condition such as snowfall, cold waves and icing. As a result, serious damage occurs on the lining and road surface of the tunnel entrance and exit. Therefore, it is necessary to develop appropriate mitigation methods to protect damage to people and property by freezing. In this paper, we introduce that the trend of research for reducing the freezing damage and the required performance to be secured for the maintenance of road tunnels in cold region and the future research plans.

In the Gangwon province, severe freezing damage to road tunnels are occurred due to freezing condition such as snowfall, cold waves and icing. As a result, serious damage occurs on the lining and road surface of the tunnel entrance and exit. Therefore, it is necessary to develop appropriate mitigation methods to protect damage to people and property by freezing. In this paper, we introduce that the trend of research for reducing the freezing damage and the required performance to be secured for the maintenance of road tunnels in cold region and the future research plans.

Anti-icing system can reduce traffic accidents and congestion by quickly removing the frozen road surface area. there is no decision criteria for determining application of the Anti-icing system in Korea. In this study, we proposed the decision criteria for determining application of the anti-icing system based on weather and road conditions, i.e., geometric and topographic conditions. Regional climate survey, Solar Radiation analysis, and dynamic vehicle simulation considered road geometry was conducted to standardize the installation method of anti-icing system. Also, we have developed a software that can be determined an installation of anti-icing system.

This study examined test piece production and on-the-spot test results of power supply system of road surface temperature sensor module that was put to forecast road freezing at bridge section. The temperature sensor module was produced to replace sensitive sensor (temperature and humidity sensor) of road surface that was put by wire system, and to supply power on-the-spot by itself, And, the study researched optimization considering power consumption for self power generation and sensor operation.

The surface freezing and snowfall on the highway and bridge deck will be a cause of major accident in winter. The accident can be effectively reduced by preventing the road surface freezing and snowfall. For these, it is needed that the evaluation method for perception of the road surface condition. In this study, the detection system was investigated using the contact and contactless sensors. From the results, it is seemed that the organized system could well predict the road surface condition and so on.