• 한국안전학회지
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• 제21권2호
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• pp.128-137
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• 2006

Traffic accidents occur due to complex influences of transportation companies, drivers, and road environment. This study found that education and surroundings for transportation companies, driving habits of drivers, and road safety facilities and accessory facilities were main factors that affected strongly traffic accidents. Also, it found that driving habits of drivers could affect accidents heavily more than two other factors. Road safety and accessory facilities were analysed that they affected traffic accidents independently with transportation companies and their own drivers. Therefore, in order to achieve a traffic accident prevention as our main target, those companies need to produce atmosphere that their own drivers can have safety awareness, and related institutions for the above target should run parallel with policy assistance and strict traffic enforcement. In the end, this study suggests that transportation companies should secure manpower wholly being charged with traffic safety and financial resources investing in it.

• Safety and Health at Work
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• 제12권1호
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• pp.42-50
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• 2021

Introduction: Despite huge investments in new technology and transportation infrastructure, terrible accidents still remain a reality of traffic. Methods: Severe traffic accidents were analyzed from four prevailing modes of today's transportations: sea, air, railway, and road. Main root causes of all four accidents were defined with implementation of the approach, based on Flanagan's critical incident technique. In accordance with Molan's Availability Humanization model (AH model), possible preventive or humanization interventions were defined with the focus on technology, environment, organization, and human factors. Results: According to our analyses, there are significant similarities between accidents. Root causes of accidents, human behavioral patterns, and possible humanization measures were presented with rooted graphs. It is possible to create a generalized model graph, which is similar to rooted graphs, for identification of possible humanization measures, intended to prevent similar accidents in the future. Majority of proposed humanization interventions are focused on organization. Organizational interventions are effective in assurance of adequate and safe behavior. Conclusions: Formalization of root cause analysis with rooted graphs in a model offers possibility for implementation of presented methods in analysis of particular events. Implementation of proposed humanization measures in a particular analyzed situation is the basis for creation of safety culture.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.493-497
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• 2015

본 연구는 이동수단의 기술적 발전에도 불구하고 교통사고로 인한 물적, 인적 피해가 감소하지 않는 문제에 대한 관심에서 출발했다. 현재 생산되고 있는 차량은 전후방 센서에 의해 객체의 근접도만을 감지하여 운전자에게 알려주고 있는데 본 연구는 색 검지 알고리즘, 원모양인식 알고리즘, 거리인식 알고리즘을 구현하여 객체가 감지되면 해당 객체를 회피하거나 차량을 정지시켜주도록 하여 사고감지를 넘어선 사고방지 시스템을 구축한 것이다. 시뮬레이션을 위해 소형무선통신 카메라를 장착한 아두이노 차량 로봇을 직접 제작하여 모의 도로 주행에서 로봇이 성공적으로 객체를 회피하거나 로봇 차량이 정지하는 것을 확인하였다.

• Journal of Trauma and Injury
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• 제19권1호
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• pp.74-80
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• 2006

Purpose: For prevention and suitable administration, the effect of age on the severity of injuries in traffic accidents should be considered when evaluating a patient, but there have not been enough epidemiological studies that evaluate the age factor in traffic accidents. For that reason, we investigated old-aged patients who were involved in traffic accidents (65 years old or more) and who were admitted to the emergency department of a college hospital in an urban city of Korea. Methods: We collected data from traffic-accident patients who came to the emergency room of a university hospital in Seoul from Jan.1, 2004 to Dec.31, 2005. We compared their abilities to ambulate and the RTSs (Revised trauma scores) by using a LSD (least significant difference), linear regression. Results: A total of 1460 patients were included. The mean RTS of all traffic-accident patients was $7.77{\pm}0.280$. The scores for drivers and passengers, motor-cycle drivers and passengers, bicycle drivers and passengers, and pedestrians were $7.79{\pm}0.21$, $7.78{\pm}0.22$, $7.54{\pm}0.25$, $7.77{\pm}0.20$, and $7.80{\pm}0.21$ respectively (p=0.000). There was no statistically significant difference between the RTS of patients over 65 years and that of other patients. In a regression analysis, the number of patients over 45 ages who were able to ambulate was lower than that of younger people, independently of other influencing factors (B=-0.330, R-square = 0.243, p=0.000). Conclusion: We expected that RTS of old age group more than 65 years old will significantly lower than that of others, but there was no statistically significant difference.

• 한국전자통신학회논문지
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• 제16권5호
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• pp.867-878
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• 2021

최근 도로조명시설에 영상 및 레이더 등을 부착하여, 실시간 교통데이터 수집과 교통 정보제공이 가능한 스마트 가로등에 대한 연구가 활발하다. 스마트 가로등 기술은 이에 따라 기존 대비 고해상도 검지, 판별, 조밀한 정보제공이 가능하다. 스마트 가로등의 장점으로 고해상도 정보전달매체로서 효과적으로 활용하기 위해서는 기존 중앙집중식 운영 전략과 다른 지점형 운영 전략이 요구된다. 본 연구는 스마트 가로등 기반사고 발생 전/후의 상황에 따라 구분된 공간적 범위에서 목적성을 달리하는 동적 정보 제공 전략, 해제 전략 및 그 기준에 대해서 제시하였다. 이를 통해 스마트 도로조명시설을 보다 효과적으로 활용 가능할 것으로 기대된다.

• Wind and Structures
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• 제24권3호
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• pp.287-306
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• 2017

In the present study, a new assessment simulation of ride safety based on a new wind-traffic-pavement-bridge coupled vibration system is developed considering stochastic characteristics of traffic flow and bridge surface. Compared to existing simulation models, the new assessment simulation focuses on introducing the more realistic three-dimensional vehicle model, stochastic characteristics of traffic, vehicle accident criteria, and bridge surface conditions. A three-dimensional vehicle model with 24 degrees-of-freedoms (DOFs) is presented. A cellular automaton (CA) model and the surface roughness are introduced. The bridge deck pavement is modeled as a boundless Euler-Bernoulli beam supported on the Kelvin model. The wind-traffic-pavement-bridge coupled equations are established by combining the equations of both the vehicles in traffic, pavement, and bridge using the displacement and interaction force relationship at the patch contact. The numerical simulation shows that the proposed method can simulate rationally useful assessment and prevention information for traffic, and define appropriate safe driving speed limits for vulnerable vehicles under normal traffic and bridge surface conditions.

• 자동차안전학회지
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• 제13권4호
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• pp.114-122
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• 2021

In this paper, an automated vehicle intersection collision accident was analyzed through simulation. Recently, the more automated vehicles are distributed, the more accidents related to automated vehicles occur. Accidents may show different trends depending on the sensor characteristics of the automated vehicle and the performance of the accident prevention system. Based on NASS-CDS (National Automotive Sampling System-Crashworthiness Data System) and TAAS (Traffic Accident Analysis System), four scenarios are derived and simulations are performed. Automated vehicles are applied with a virtual system consisting of an autonomous emergency braking system and algorithms that predict the route and avoid collisions. The simulations are conducted by changing the sensor angle, vehicle speed, the range of the sensor and vehicle speed range. A range of variables considered vehicle collision were derived from the simulation.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2007년도 정기총회 및 학술발표대회
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• pp.561-564
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• 2007

This case was successfully constructed as a leakage prevention case of primary 2-arch tunnel located in Anyang, Gyungkido. The leakage of primary 2-arch tunnel was observed at middle wall of tunnel and girder of tunnel. Such a leakage of primary 2-arch tunnel generally occurred due to the damage of the waterproof membrane constructed on the middle wall during the blasting works of right and left tunnel after construction of the middle wall. As the leakage, icicles hanged from girder of tunnel in the winter. In such phenomenon, the risk of the traffic accident in the tunnel was high. In this case, leakage prevention works were successfully constructed using the heat insulated drainage.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.142-148
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• 2023

In Modern days, Self-driving for modern people is an absolute necessity for transportation and many other reasons. Additionally, after the outbreak of COVID-19, driving by oneself is preferred over other means of transportation for the prevention of infection. However, due to the constant exposure to stressful situations and chronic fatigue one experiences from the work or the traffic to and from it, modern drivers often drive under drowsiness which can lead to serious accidents and fatality. To address this problem, we propose a drowsy driving prevention learning model which detects a driver's state of drowsiness. Furthermore, a method to sound a warning message after drowsiness detection is also presented. This is to use MoveNet to quickly and accurately extract the keypoints of the body of the driver and Dense Neural Network(DNN) to train on real-time driving behaviors, which then immediately warns if an abnormal drowsy posture is detected. With this method, we expect reduction in traffic accident and enhancement in overall traffic safety.

• 해양환경안전학회지
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• 제18권4호
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• pp.308-315
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• 2012

2007년 태안에서 발생한 허베이 스피리트호 사건은 연안 해역 안전관리에 대한 중요성을 다시 한 번 일깨워 주었고, 이에 대한 대응방안으로 연안VTS를 우리나라 전 해역에 걸쳐 구축 운영할 계획이다. 이제까지 VTS 기능에 관한 이론적인 고찰은 있었으나, 연안VTS의 기능에 관한 실증적인 연구는 없었다. 이에 본 연구는 현재 운영되고 있는 진도 연안VTS 운영성과를 분석하고, 사고예방 사례를 조사하여 연안VTS의 기능에 관하여 조사하였다. 연안VTS는 관제구역이 넓어 해상교통 특색이 장소마다 상이하며, 집중 관제를 필요로 하는 곳이 많았고, 통항선박 중 어선과 같은 비관제 대상 선박이 다수를 차지하여 이들의 관제가 중요한 것으로 조사되었다. 그리고 선박 운항자의 집중도가 항내보다는 떨어지므로 인적과실에 의한 사고 개연성이 높은 것으로 분석되었다. 연안VTS는 항만VTS와 같이 정보제공, 항행지원, 교통관리의 역할을 주로 하고 있지만, 수색구조 지원, 해상 보안, 해상치안 업무, 해양오염 대응, 비관제 대상 선박 업무 및 수상레저 안전관리 등의 기능이 강화되는 것으로 나타났다.