자율주행 차량이 상용화됨에 따라 연구에 사용할 수 있는 자율주행 차량의 주행궤적 자료를 제공하고 연구하는 기관이 증가하고 있다. 캘리포니아 자동차관리국은 사고 당시 차량의 거동과 주변 환경을 기록한 자율주행 차량 사고 보고서를 제공한다. Waymo는 라이다, 카메라 등을 통해 수집한 자율주행 차량의 실주행 자료를 제공한다. 본 연구에서는 캘리포 니아 자동차관리국에서 제공하는 자율주행 차량 사고 보고서와 Google Street Map을 이용하여 사고 당시의 도로유형과 도로환경요소 및 사고 당시 상황을 파악하고, 베이지안 네트워크(BN)을 통해 자율주행 차량 사고 영향요인을 파악하였 다. 랜덤 포레스트를 통해 앞에서 파악한 자율주행 차량 사고 영향요인들의 변수 중요도를 추출하고 이를 기반으로 자율 주행 차량 주행 시나리오를 도출하였다. 도출한 자율주행 차량 주행 시나리오와 유사한 상황을 보이는 Waymo Open Dataset의 자율주행 차량 실제 주행궤적을 매칭하여 자율주행 차량 주행 행태 기반 사고 위험도 평가 지표를 도출하였 다. 본 연구의 결과는 앞으로 도로환경요소 및 자율주행 차량 주행궤적에 따른 자율주행 차량 주행 안전성 연구의 기반 이 될 것으로 기대된다.

PURPOSES : Driving simulations are widely used for safety assessment because they can minimize the time and cost associated with collecting driving behavior data compared to real-world road environments. Simulator-based driving behavior data do not necessarily represent the actual driving behavior data. An evaluation must be performed to determine whether driving simulations accurately reflect road safety conditions. The main objective of this study was to establish a methodology for assessing whether simulation-based driving behavior data represent real-world safety characteristics. METHODS : A 500-m spatial window size and a 100-m moving size were used to aggregate and match the driving behavior indicators and crash data. A correlation analysis was performed to identify statistically significant indicators among the various evaluation metrics correlated with crash frequency on the road. A set of driving behavior evaluation indicators highly correlated with crash frequency was used as inputs for the negative binomial and decision tree models. Negative binomial model results revealed the indicators used to estimate the number of predicted crashes. The decision-tree model results prioritized the driving behavior indicators used to classify high-risk road segments. RESULTS : The indicators derived from the negative binomial model analysis were the standard deviation of the peak-to-peak jerk and the time-varying volatility of the yaw rate. Their importance was ranked first and fifth, respectively, using the proposed decision tree model. Each indicator has a significant importance among all indicators, suggesting that certain indicators can accurately reflect actual road safety. CONCLUSIONS : The proposed indicators are expected to enhance the reliability of driving-simulator-based road safety evaluations.

iRAP(international Road Assessment Program)에서는 최근 다양한 유형의 도로 정밀자료를 바탕으로 한 AiRAP(Accelerated intelligent Road Assessment Program)을 개발하여 여러 국가별 RAP에 확대 적용해나가고 있는 단계에 있다. 2023년부터 국내 도로 여건을 고려한 한국형 도로안전도 평가 프로그램 개발 연구가 진행 중에 있으며, 개발되는 평가항목 및 기준, 평가기술 등에 적합한 도로안전도 평가 기초데이터 역시 유형 및 범위에 변화가 필요해짐에 따라 이를 충족하는 기초데이터 수집이 가능한 도로안전도 조사장비 개발이 기획 되었다. 이에 따라 본 연구에서는 고사양의 360도 도로영상 촬영장치와 360도 128채널 LiDAR 센서, 정밀 GPS 시스템, 휴대용 운영장 치 등을 갖춘 도로안전도 조사장비를 일반 차량에 탈부착이 가능한 형태로 개발하고자 하였다. 본 개발 장비로 취득 가능한 도로영상 및 점군데이터를 활용하여 AiRAP 자동분석을 통한 도로안전도 평가가 가능한데, 이를 통해 객관적이고 신뢰성 높은 평가가 가능할 것으로 기대된다.

PURPOSES : The purpose of this study was to quantitatively evaluate the variability of LiDAR performance indicators, such as intensity and Number of Point Cloud(NPC), according to various environmental factors and material characteristics. METHODS : To consider the material characteristics of road safety facilities, various materials (Reference Material(RM), reflective sheet, matte sheet, granite, plastic, and rubber) were used in a darkroom, and the performance indicators of LiDAR were repeatedly measured in terms of changes in the measurement distance, rainfall, and angle of observation. RESULTS : In the case of standard reflective materials, the intensity measurement value decreased as the measurement distance and rainfall increased. The NPC showed a tendency to decrease as the measurement distance increased, regardless of rainfall intensity. For materials with high-intensity values, it was found that rainfall intensity and color had negligible effect on the change in intensity compared with the measurement distance. However, for materials with low-intensity values, it was found that the measurement distance, rainfall intensity, and color all had a significant effect on the change in intensity. CONCLUSIONS : For materials with high-intensity values, it was found that rainfall and color had negligible effect on change in intensity compared with the measurement distance. However, for materials with low-intensity values, the measurement distance, rainfall, and color all had a significant effect on the change in intensity value.

PURPOSES : The purpose of this study is to evaluate the road design elements affecting the lateral driving safety under high-speed driving conditions with a speed limit of 140 km/h and to derive useful implications to design of safer roads. METHODS : A full-scale driving simulator was used to evaluate the various design scenarios. Different regression techniques and a random forest method were adopted to conduct comprehensive comparisons among the simulation scenarios. The relationships between the safety indicators, including the frequency of the lane departures and the standard deviation of the lateral acceleration, and the design elements were explored in terms of lateral driving safety. RESULTS : The length of the combined alignment was found to be a significant factor affecting the lateral driving safety based on the analysis of the frequency of lane departures. Regarding the standard deviation of the lateral acceleration, it was identified that the length of the horizontal curve, the length of the bridge, and the right-side superelevation must be considered significant factors associated with driving safety while designing the road under high-speed driving conditions. CONCLUSIONS : Based on the findings of this study, a set of recommendations for designing roads was proposed. For example, the proper length of the combined alignment and the horizontal curve should be determined to prevent crashes due to hazardous lateral driving events because the installation of sufficient superelevation in the bridge section would be limited under high-speed driving conditions. In addition, applying a larger horizontal curve radius with longitudinal grooving is a promising approach to tackle risky driving conditions.

Recently, the damage caused by typhoons and strong winds frequently displayed according to world climate change tends to be increasing. In the case of soundproof / windproof wall installed on the road, frequent occurrence does function for damage due to strong wind. As a result, in this study, strong wind fragility evaluation was performed to predict the degree of damage of strong winds of soundproof / windproof walls. We were conducting research focusing on the destruction mode in which the overall destruction of the sound barrier caused by the destruction of the aluminum frame occurs. Three node bending experiments were conducting for grasping the material properties of a soundproof wall aluminum frame that is currently being constructed on a road. Based on the results of this experiment, the resistance performance of the target structure was calculated, the frame breakage was selected as the limit state, and the wind load acting on the simplified soundproof wall model was measured using the Monte Carlo model model technique to measure.From now on, through the additional study, it will be necessary to proceed with a more accurate evaluation of the safety against strong windsof the soundproof wall structure using the vulnerability evaluation execution and the setting of the limit state.This study is expected to be the basic data of the study on prediction technique of wind - induced damage of soundproofing and windshield walls in the future.

PURPOSES: Road Design Consistency Evaluation can guarantee road alignments with safety factors, however it can be hard work to deal with general car accident factors in only this evaluation index. Ideal Road Design Consistency Evaluation is show the mutual balance of road alignment and human factors with a variety of factors for road safety. METHODS: This study carried out overall road safety evaluations which are methods of running speeding consistency and car platoon safety analysis (driver's behaviors factors) as well. RESULTS: Out of 13 sections in a experimental road layout, safety factors of 8 sections showed 'Good' or 'Fair' status. However, 'Poor' results were found out in 5 sections. Particularly, it showed the different outcomes among the 4 evaluation methods used in this study. CONCLUSIONS: Road safety countermeasures were proposed for the potentially dangerous sections in road which failed to identify in the other methods. This study will contribute toward future study of more reliable Road Design Consistency Evaluation in the future for road safety.

도로교통 안전진단은 도로의 계획 및 설계단계에서부터 교통사고가 발생할 수 있는 요소를 찾아내 미리 개선하고 건설 후 운영단계에도 도로구조나 안전시설이 사고방지에 적정한지를 평가하는 예방적 차원의 안전성 강화 제도이다. 이 제도는 2000년대 초에 우리나라에 소개된 이래 다양한 사업이 진행되어 왔고 법제화되었으며, 사업의 지속화를 위해 현재까지 진행된 사업에 대한 평가가 필요한 시점이다. 이러한 필요성에 따라 본 연구에서는 공용중인 고속도로의 교통안전진단사업에 대한 효과 평가를 수행하였다. 연구의 공간적 범위는 영동고속도로이며 2005년과 2006년도에 시행된 안전진단사업에 대해 전후 2년을 평가기간으로 하여 분석하였다. 평가방법은 관찰적 사전 사후 평가방법 중 경험적 베이즈 방법을 적용하였다. 효과평가 결과 사업이 시행된 대부분의 구간에서 개선효과가 있는 것으로 나타났으나 일부 구간에서는 효과가 없거나 미미한 것으로 나타났다. 이를 각 구간별 개선조치 내용과 비교하여 검토한 결과 해당 구간에 여러 개선조치가 시행된 경우 효과가 양호하게 나타났으며, 효과가 나타나지 않는 구간은 개선조치가 적거나 단일한 경우가 일반적이었다. 이러한 결과를 바탕으로 개선효과가 나타나지 않는 구간에 대해서는 구체적인 분석과 대응책 마련이 가능할 것이다. 또한 향후 공용중인 고속도로 안전진단사업의 사업내용 및 방향설정 등에 참고로 활용될 수 있다.