Safe operation of freight vehicles is an important issue for drivers, cargo, and other road users. In particular, the center of gravity of a freight vehicle is directly related to the stability of the vehicle, and this can fluctuate in real time depending on weight changes. Every time a freight vehicle loads or unloads cargo, its center of gravity changes, and these changes greatly affect the risk of vehicle rollover. We researched a continuous center of gravity measurement system for freight vehicles for safe driving.

With the mandatory implementation of ESC for trucks starting in 2023, domestic truck manufacturers in South Korea are advocating for a relaxation of the maximum safe slope angle to achieve cost savings. However, there is a lack of research on the dynamic safety of trucks based on ESC installation and the relaxation of the maximum safe slope angle. This study evaluates the relationship between static safety factor (SSF) and the maximum safe slope angle, analyzing the dynamic stability of trucks through simulation considering various experimental variables. The results quantitatively demonstrate the impact of relaxing the maximum safe slope angle on dynamic safety and provide recommendations for future safety regulations.

In this paper, we propose a dynamic stability prediction method for heavy vehicles based on Lateral Load Transfer Ratio. The key factors influencing vehicle roll motion are the vehicle's load, the position of the center of mass, the tread and the vehicle speed. Using these factors, we derive the lateral load transfer ratio (LTR) formula. In addition, we investigated LTR changes and vehicle rollover of heavy vehicles in various scenarios using TruckSim. As a result, the threshold value of the change rate of the LTR at which the vehicle rolls over was 0.68-0.72. Finally, we performed a numerical experiment to prevent rollover by calculating the optimal speed in the rollover situation.

The lane departure warning device can not detect the lane to be driven in the future by sensing the departure of the lane passing by during driving and warning the driver. Considering the safe operation of the truck, it is also expected that the departure of the future lanes according to the dynamic weight and speed of the current truck should be predicted. This study attempted to predict whether or not to deviate from the lanes of curved roads to be driven in the future according to the current dynamic driving weight and speed in consideration of the safe driving of trucks.

Recently, traffic accidents have continued to occur due to the failure to secure a safe distance for trucks. Unlike passenger cars, freight cars have a large fluctuation in the weight of the vehicle's shaft depending on the load, and the fatality of accidents and the possibility of accidents are high. In this study, a braking distance prediction model according to the driving speed and loading weight of a three-axis truck was implemented to prevent a forward collision accident. Learning data was generated based on simulation, and a prediction model based on machine learning was implemented to finally verify accuracy. The extra trees algorithm was selected based on the most frequently used R2 Score among regression analyses, and the accuracy of the braking distance prediction model was 98.065% through 10 random scenarios.

PURPOSES :This study deals with traffic accidents involving trucks. The objective of this study is to develop a traffic accident model for trucks at roundabouts.METHODS :To achieve its objective, this study gives particular attention to develop appropriate models using Poisson and negative binomial regression models. Traffic accident data from 2007 to 2014 were collected from TAAS data set of road traffic authority. Thirteen explanatory variables such as geometry and traffic volume were used.RESULTS :The main results can be summarized as follows: (1) two statistically significant Poisson models (ρ2 = 0.398 and 0.435) were developed, and (2) the analysis revealed the common variables to be traffic volume, number of exit lanes, speed breakers, and truck apron width.CONCLUSIONS :Our modeling reveals that increasing the number of speed breakers and speed limit signs, and widening the truck apron width are important for reducing the number of truck accidents at roundabouts.

회전교차로는 일반적인 평면교차로보다 상충횟수가 적고 진입속도가 느려 교통사고 발생건수와 피해정도 가 작다는 특징을 가지고 있으며, 이는 회전교차로 관련 각종 사고 자료나 연구들로 증명되고 있다. 이에 정 부에서는 회전교차로의 도입활성화 방안 추진에 따라 회전교차로의 설치를 증가시키고 있는 추세이다. 하지만, 회전교차로에서도 기하구조, 운전자의 부주의 등으로 교통사고가 지속적으로 발생하고 있으며 측면충돌, 후미추돌, 기타 등 다양한 충돌유형이 존재한다. 또한 오늘날 우리나라는 영업용 택배차량의 증가에 따라 화물차 등록대수가 지속적으로 증가하고 있는 추세이다. 화물차의 경우 무거운 화물을 싣고 있고, 차량자체도 크기 때문에 사고가 일어나면 대형사고로 이어질 가능성이 크다. 그러나 기존 회전교차 로 사고와 관련된 연구들 대부분이 전체차량에 대한 연구이며, 화물차에 관한 연구는 부족한 실정이다. 따라서 이 연구에서는 국내 회전교차로에서의 화물차 충돌유형을 측면충돌, 후미추돌, 기타로 나누어 모형을 개발하고 충돌유형별로 어떠한 요인이 사고에 영향을 미치는지 비교분석하는데 목적이 있다. 모형의 종속변수는 국내 회전교차로 76개소에서 발생한 2007~2014년까지 8개년도 화물차 교통사고건 수이며, 독립변수로는 교통류특성을 나타내는 교통량과 기하구조요인 등을 적용하였다. 이를 위해 통계프 로그램 LIMDEP 8.0과, SPSS20.0을 이용하였으며, 모형은 가산자료 모형인 포아송과 음이항 회귀모형 중 추정에 의해 더 적합한 모형을 선정하였다. 모형추정결과 충돌유형별 사고모형의 공통변수는 화물차 턱 폭이 채택되었으며, 특정변수로 측면충돌사고는 차로분리섬 유무, 화물차 턱 유무, 후미추돌사고는 유 입차로 폭, 제한속도표지판 유무, 기타사고는 내접원 직경, 교통량이 채택되었다. 또한 우도비 검정을 수 행한 결과 통계적으로 설명력이 높은 모형이 개발된 것을 알 수 있었다.

PURPOSES : The purpose of the study is to a) explore the operating speed of trucks on rural highways affected by road geometry, and thereby b) develop a predictive model for the operating speed of trucks on rural highways. METHODS: Considering that most of the existing studies have focused on cars, the current study aimed to predict the operating speed of trucks by conducting linear regression analysis on the speed data of trucks operating on the linear-curved-linear portions of the road as a single set. RESULTS: The operating speed in the plane curve portion increased with the length of the curve, and decreased with a lower vertical grade and a smaller curve radius. In the straight plane portion, the operating speed increased with a larger curve radius(upstream), and decreased with an increase in the change of the vertical grade, depending on the length of the vertical curve. CONCLUSIONS: This study developed estimation models of truck for operational speed and evaluated the degree of safety for horizontal and vertical alignments simultaneous. In order to represent whole area of the rural highway. the models should be ew-analyzed with vast data related with road alignment factor in the near future

본 연구에서는 다차로 고속도로에서 트럭주행 차로를 제한하는 전략이 교통류 변수(평균속도, 차선변경 횟수, 총교통량의 변화)에 어떤 영향을 미치는 지를 알아보았고, 또한 본 연구에서 제안된 트럭주행 차로를 제한하는 전략에 대한 대안들의 적용 타당성을 알아보았다. 교통 시뮬레이션을 위해 두 가지 형태의 가상 네트워크와 교통수요를 설정했으며, 트럭 차량의 주행을 제한하는 차로의 수에 근거하여 3가지 실행가능한 시나리오를 설정하였다. PARAMICS 시뮬레이션 모형이 주요 분석 Tool로 사용되었다. 통계분석을 통해 시나리오에 따른 교통류 변수에 대한 영향을 분석하였다. 결과적으로, 트럭주행 차로를 제한하는 전략은 다차로 고속도로에서 교통류의 흐름에 긍정적인 영향을 미치는 것으로 나타났다. 또한, 이 연구는 트럭 주행 차로를 제한하는 전략이 성공적으로 시행되기 위해 트럭 차량의 주행을 제한하는 차로의 수의 결정이 중요한 요소가 될 수 있다는 것을 보여주었다.