PURPOSES : This study aims to perform a quantitative analysis of Forward Collision Warning and crash frequency using heavy vehicle driving data collected in expressway driving environments, and to classify the driving environments where Forward Collision Warnings of heavy vehicles occur for accident-prone areas and analyze their occurrence characteristics. METHODS : A bivariate Gaussian mixture model based on inter-vehicle distance gap and speed-acceleration parameters is used to classify the environment in which Forward Collision Warning occurs for heavy vehicles driving on expressways. For this analysis, Probe Vehicle Data of 80 large trucks collected by C-ITS devices of Korea Expressway Corporation from May to June 2022. Combined with accident information from the past five years, a detailed analysis of the classified driving environments is conducted. RESULTS : The results of the clustering analysis categorizes Forward Collision Warning environments into three groups: Group I (highdensity, high-speed), Group II (high-density, low-speed), and Group III (low-density, high-speed). It reveals a positive correlation between Forward Collision Warning frequency and accident rates at these points, with Group I prevailing. Road characteristics at sites with different accident incidences showed that on-ramps and toll gates had high occurrences of both accidents and warnings. Furthermore, acceleration deviation at high-accident sites was significant across all groups, with variable speed deviations noted for each warning group. CONCLUSIONS : The Forward Collision Warning of heavy vehicles on expressways is classified into three types depending on the driving environment, and the results of these environmental classifications can be used as a basis for building a road environment that reduces the risk of crashes for heavy vehicles.

Since 2024, small business are also going to be ruled under the Serious Accident Punishment Act. As the scope of the law expands, the small logistics companies are required to pay more attention on preventing serious accidents on the field. Freight vehicle accidents can cause personnel accidents and cargo accidents which are the two serious accidents that the Serious Accident Punishment Act is trying to prevent. The purpose of this research are to study the factors that cause the serious accidents that happens in the small logistics companies and to suggest preventive. The results of the study shows that fall prevention is the top-priority and then driving experience, safety management, and cargo driving hours. However, the gaps between the evaluation values of each are not huge, which means all the preventives are significant.

이 논문은 선박안전법시행규칙 제5조 제9호와 관련된 임시승선자의 연혁과 현황을 살펴보고, 외국의 입법례를 참고하여 개선방안을 제시한 것이다. 이 논문의 주요내용을 간략히 정리하자면 다음과 같다. 첫째, 선박안전법시행규칙 제5조 제9호에 대한 유권해석으로 인해 종래 화물차량과 함께 임시승선자로 승선하였던 운전자가 12명까지만 여객으로 승선하고 나머지 화물차량 운전자는 항공기 등 다른 교통수단으로 이동해야 함으로써 원활한 화물운송이 곤란할 뿐만 아니라 과도한 비용과 불편이 초래되고 있다. 그런데 로로화물선의 경우 선원과 동승하여 생활하는 선원의 가족이나 선박소유자 등은 임시승선자로 인정하더라도 승선인원의 안전과 선박의 안전운항에 문제가 없다고 하면서도, 화물관리인은 임시승선자로 인정하지 않는 것은 형평성에도 어긋날 뿐만 아니라 논리적 모순이 있다. 둘째, SOLAS 협약이나 유럽연합 규정 등에서 여객이나 선원과 구분되는 ‘기타의 자’가 일본의 선박안전법시행규칙 세칙에서 ‘기타 승선자’로 변형되면서 범위가 확대되었으며, 더 나아가 우리나라의 선박안전법시행규칙 제5조에서 ‘임시승선자’로 변형되면서 그 범위가 한층 더 확대되었다. 셋째, 해양수산부장관의 유권해석과 부산지방법원의 판결은 문리해석, 논리적․체계적 해석, 주관적․역사적 해석, 객관적․목적론적 해석 등과 같은 전통적 해석방법론뿐만 아니라 오늘날 일반적으로 통용되는 해석방법론에도 부합하지 않기 때문에 근거가 부족하고 설득력이 없는 것으로 보인다. 전통적 해석방법론이나 오늘날 일반적으로 통용되는 해석방법론에 따르면 선박안전법시행규칙 제5조 제9호는 여객선뿐만 아니라 화물선에도 적용될 수 있다. 넷째, 해석론을 통한 개선방안으로도 업계의 요구나 현실적인 필요에 대부분 대응할 수 있지만, 불필요한 논쟁과 송사를 피하기 위해서는 법률개정을 통한 입법론으로 개선방안을 마련하는 것이 더 바람직하다. 따라서 우리나라에서 운송되는 화물의 특수성이나 선박운항의 특수성 및 물류시스템의 현황을 반영하고, 자의적인 해석이 아니라 일반인의 상식적 판단에 따른 객관적 기준을 제시하기 위해서는 선박안전법시행규칙 제5조 제9호는 “화물의 특성상 특별한 관리가 필요한 농산물·수산물 운송차량, 가축운송차량 및 폭발성·인화성 물질 운송차량의 화물관리인(운전자는 화물관리인을 겸할 수 있다)”으로 개정하여야 한다.

Illegal transportation act using a private truck cases indigested freight market. Moreover it incurs social and economic damage. There are some remedy for this problem that is reintroducing suspension of the service law, creating the law to punish client who have the goods which is delivered and improving transportation environment.

Recently, RFID technology is being widely embraced in the supply chain, by manufacturers, retailers, and logistics firms. This study shows the RFID system to provide location based service for commercial vehicle by integrating tracking function of GPS with Mobile service. For this, we configured PC-based terminal for vehicle and developed application consisted of RFID and GPS manager program. In web service module which uses mobile service, commodity information acquired from each vehicle at real-time is added at database and it is analyzed in various aspects to support management decision through the Legacy system.