• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.12
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• pp.469-481
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• 2016

Freight car accidents occur frequently and have a high mortality. In this reason, freight can insurance fee has been raised drastically. But speeding and overloading of trucks are still not decreased. We need to consider a measure about voluntary safe driving of truck drivers. We select UBI(Usage-Based insurance) as a measure for safe driving of truck drivers. UBI is a car insurance system and insurance fee is flexible. If vehicle drivers drive safely, insurance fee is discounted. The other way, if vehicle drivers drive dangerously, insurance fee is increased. In now, very high insurance fee for truck drivers, UBI is a effective way for leading a truck driver to safe driving. The most important thing in UBI is to evaluate truck driver rationally and accurately. In this paper, we select the reasons of truck accidents and develop driving evaluation model from multiple regression analysis and correlation analysis with accident reasons and truck accidents.

• The tire
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• s.228
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• pp.27-29
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• 2006

우리협회에서는 고속도로상에서 타이어 정비불량으로 인한 교통사고를 예방하고 올바른 사용방법을 홍보하고자 고속도로 휴게소에서 업계와 합동으로 타이어 안전사용검사 및 서비스 행사를 매년 실시하고 있다 본고에서는 금년 7월 검사까지의 추이를 중심으로, 일본의 타이어 안전사용 실태와 비교할 수 있도록 일본 자동차 타이어 공업협회(Japan Automobile Tire Manufacturers Association)의 05년도 안전검사 결과 수치를 삽입하였다. 참고로 JATMA의 안전검사는 고속도로뿐만 아니라 일반도로에서도 이루어지며 검사대상에서도 화물차를 포함하지만 ,본고에서는 고속도로에서의 승용차 대상의 결과치 만을 발췌하였다. 아울러, 올해 상반기에 실시한 운전자의 타이어 안전관리에 관한 설문조사 결과를 요약, 정리하였다.

• Review of KIISC
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• v.33 no.4
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• pp.7-12
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• 2023

디지털운행기록장치(DTG)는 차량의 운행정보를 기록하고 저장하는 장치로, 여객 및 화물자동차에 의무적으로 장착되어 여러 실시간 운행기록을 수집하고 관리할 수 있도록 하고 있다. 대부분 버스, 택시, 화물차 등에 사용되며, 상용 자동차의 운전자를 인증하고 과도한 운행으로 인한 사고를 줄이는 데 중요한 역할을 한다. 본 연구에서는 기존의 국내 디지털운행기록장치 관련 지침 및 표준 사양의 보안 기술 관련한 내용을 살펴보고 더 나아가 문헌조사를 통해 발견된 디지털운행기록장치 데이터 보호 관련 기본적 보안원칙을 소개한다. 더불어, 디지털 포렌식을 위한 데이터 식별 방법에 대한 실험적인 시도 사례의 결과를 함께 소개한다.

• International Journal of Highway Engineering
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• v.14 no.1
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• pp.85-94
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• 2012

The term "incident duration time" is defined as the time from the occurrence of incident to the completion of the handling process. Reductions in incident durations minimize damages by traffic accidents. This study aims to develop models to identify factors that influence incident duration by investigating traffic accidents on highways. For this purpose, four models were established including an integrated model (Model 1) incorporating all accident data and detailed models (Model 2, 3 and 4) analyzing accidents by location such as basic section, bridges and tunnels. The result suggested that the location of incident influences incident duration and the time of arrival of accident treatment vehicles is the most sensitive factor. Also, significant implications were identified with regard to vehicle to vehicle accidents and accidents by trucks, in night or in weekends. It is expected that the result of this study can be used as important information to develop future policies to manage traffic accidents.

• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.233-254
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• 2017

The purpose of this study is to analyze the main factors influencing the severity of traffic accidents and to visualize spatiotemporal characteristics of traffic accidents in Seoul. To do this, we collected the traffic accident data that occurred in Seoul for four years from 2012 to 2015, and classified as slight, serious, and death traffic accidents according to the severity of traffic accidents. The analysis of spatiotemporal characteristics of traffic accidents was performed by kernel density analysis, hotspot analysis, space time cube analysis, and Emerging HotSpot Analysis. The factors affecting the severity of traffic accidents were analyzed using decision tree model. The results show that traffic accidents in Seoul are more frequent in suburbs than in central areas. Especially, traffic accidents concentrated in some commercial and entertainment areas in Seocho and Gangnam, and the traffic accidents were more and more intense over time. In the case of death traffic accidents, there were statistically significant hotspot areas in Yeongdeungpo-gu, Guro-gu, Jongno-gu, Jung-gu and Seongbuk. However, hotspots of death traffic accidents by time zone resulted in different patterns. In terms of traffic accident severity, the type of accident is the most important factor. The type of the road, the type of the vehicle, the time of the traffic accident, and the type of the violation of the regulations were ranked in order of importance. Regarding decision rules that cause serious traffic accidents, in case of van or truck, there is a high probability that a serious traffic accident will occur at a place where the width of the road is wide and the vehicle speed is high. In case of bicycle, car, motorcycle or the others there is a high probability that a serious traffic accident will occur under the same circumstances in the dawn time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1794-1799
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• 2022

Recently, the increasing number of overloaded vehicles on the road poses a risk to traffic safety, such as falling objects, road damage, and chain collisions due to the abnormal weight distribution, and can cause great damage once an accident occurs. therefore we propose to build an object detection-based AI model to identify overloaded vehicles that cause such social problems. In addition, we present a simple yet effective method to construct an object detection model for the large-scale vehicle images. In particular, we utilize the large-scale of vehicle image sets provided by open AI-Hub, which include the overloaded vehicles. We inspected the specific features of sizes of vehicles and types of image sources, and pre-processed these images to train a deep learning-based object detection model. Also, we propose an integrated system for tracking the detected vehicles. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data.

• Journal of the Korean Society of Safety
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• v.32 no.3
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• pp.123-129
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• 2017

This study deals with the traffic accident of truck at circular intersection. The purpose of this study is to develop the truck accident models based on type of accident and conflict. In pursuing the above, the study gives particular attentions to selecting the appropriate models among Poisson and Negative binomial models using statistical program LIMDEP 8.0. The traffic accident data from 2007 to 2014 are collected from TAAS data set of Road Traffic Authority. Such the dependent variable as number of truck accidents and the 24 independent variables as geometry, traffic volume and others are used. The main results are as follows. First, 5 Poisson models (${\rho}^2$ of 0.164~0.351) which are all statistically significant are selected. Second, the common variable based on type of accident and conflict is analyzed to be truck apron width. The specific variables are, however, evaluated to splitter island, area of splitter island, speed limit sign, truck apron, number approach road, circular intersection sign, speed hump and traffic volume. Finally, widening the truck apron width and improving the above specific variables are analyzed to be important for truck accident reduction at circular intersections.

• International Journal of Highway Engineering
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• v.19 no.4
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• pp.53-59
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• 2017

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 (${\rho}^2=0.398$ 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.

• 월간산업보건
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• s.258
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• pp.45-48
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• 2009

운수 회사의 사업장 소재지나 이 사건 차량의 차고지 및 원고의 주거지 관계에 비추어 원고가 이 사건 차량 이외에 청주나 송탄사료공장까지 출 퇴근하는 방법이 있었다고 보이지 않고, 그에 따라 원고의 입사 당시 사업주가 이 사건 차량을 원고의 주거지 부근에 주차한 후 이를 이용하여 청주나 송탄사료공장으로 가서 사료를 공급받아 업무를 수행하도록 용인하였던 점, 그에 따라 이 사건 차량에 대한 관리 이용권이 전적으로 원고에게 전담되어 있었고, 원고의 주된 업무가 빈 화물차량을 운전하여 사료공장으로 가서 사료를 공급받은 후 각 양계농장에 사료를 운반 배송하는 업무로 이러한 업무내용이나 근무형태 등에 비추어 원고가 화물차에 탑승하여 운전을 개시하는 때로부터는 업무수행이 시작되어 사업주의 지배 관리하에 있다고 보이는 점(원고가 자택에서 이 사건 차량에 도착할 때까지가 출근에 해당하고, 그 이후 차량에 탑승한 이후에는 바로 업무의 개시가 있었다고 할 것이다) 등에 비추어 보면, 원고가 재해 당일 새벽 청주사료공장으로 가기 위하여 이 사건 차량을 운전하다가 발생한 이 사건 재해는 업무상 재해라고 봄이 상당하다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.813-814
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• 2023

매년 졸음 및 부주의 운전으로 인한 교통사고로 인명 및 재산 피해가 끊이지 않고 있다. 즉각적인 졸음 감지만을 위한 기존 시스템의 단점과 한계를 보완하고자, 본 논문에서는 위험 행동을 감지한 후 당시 사진과 데이터를 저장하고 이를 점수로 환산하여 장기적인 운전 습관 개선을 목표로 하는 운전자 관리 감독 시스템을 구현하였다. 이 시스템은 화물차 운전자와 같이 장시간 운전을 하는 대상에게 안전 주행을 장려하고 올바른 운전문화를 확립하게 하여 교통안전에 긍정적 역할을 담당할 수 있다.