• Journal of the Korean Data and Information Science Society
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• 제26권3호
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• pp.661-668
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• 2015

교통사고는 인구의 증가와 그에 따른 자동차의 증가로 인하여 매년 증가하고 있다. 그러한 교통사고의 원인은 운전자의 부주의뿐만 아니라 도로상의 기상상황에 의해 영향을 받는다. 특히, 강수량, 시계, 습도, 흐림 정도, 기온 등에 의해 많은 교통사고들이 영향을 받는다. 따라서 본 연구는 다양한 기상 요인의 영향 정도에 따른 교통사고 발생 유무의 분석을 목적으로 하였다. 부산 해운대구의 센텀남대로 및 해운대로의 2013년도 교통사고 발생 자료와 지역별 상세 기상 관측 자료인 AWS 기상자료(시간당 강수량, 강수유무, 기온, 풍속), 시간대, 요일을 활용하여 로지스틱 회귀모형 및 의사결정나무모형을 이용하여 분석하였다. 그 결과 기상 요인 중 강수유무와 기온이 교통사고 발생에 영향을 미치는 요인으로 나타났다. 이러한 결과는 도로위의 기상상태에 따른 교통사고의 발생을 예측하는데 유용하게 사용할 수 있을 것이다.

• 대한안전경영과학회지
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• 제13권1호
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• pp.91-98
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• 2011

We develop a model to predict traffic accidents in Korea. In contrast to the classical approach that mainly uses regression analysis, Bayesian approach is adopted. A dependent model that incorporates the data from different kinds of accidents is introduced. The rate of severe accident can be updated even with no data of the same kind. The data of minor accident that can be obtained frequently is efficiently used to predict the severe accident.

• 자동차안전학회지
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• 제13권3호
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• pp.78-85
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• 2021

Recently a traffic accident of heavy duty vehicles under the mandatory installation of ADAS (Advanced Driver Assistance System) is often reported in the media. Heavy duty vehicle accidents are normally occurring a high number of passenger's injury. According to report of Insurance Institute for Highway Safety, FCW (Forward Collision Warning) and AEB (Automatic Emergency Braking) were associated with a statistically significant 12% reduction in the rate of police-reportable crashes per vehicle miles traveled, and a significant 41% reduction in the rear-end crash rate of large trucks. Also many countries around the world, including Korea, are studying the effects of ADAS installation on accident reduction. Traffic accident statistics of passenger vehicle for business purpose in TMACS (Traffic safety information Management Complex System in Korea) tends to remarkably reduce the number of deaths due to the accident (2017(211), 2018(170), 2019(139)), but the number of traffic accidents (2017(8,939), 2018(9,181), 2019(10,095)) increases. In this paper, it is introduced a traffic accident case that could lead to high injury traffic accidents by being equipped with AEB in a bus. AEB reduces accidents and damage in general but malfunction of AEB could occur severe accident. Therefore, proper education is required to use AEB system, simply instead of focusing on developing and installing AEB to prevent traffic accidents. Traffic accident of AEB equipped vehicle may arise a new dispute between a driver's fault and vehicle defect. It is highly recommended to regulate an advanced event data recorder system.

• 대한교통학회지
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• 제29권6호
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• pp.39-56
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• 2011

본 연구에서는 서울시 자치구(행정구역) 중심의 거시적 사고예측모형을 개발하였다. 사고예측모형 개발과정에서 서울시 전체를 하나의 모형식으로 개발하지 않고 지역 토지이용(개발밀도)과 교통사고빈도와의 관계를 분석하여 토지이용 유형에 따른 사고예측모형을 개발하였다. 토지이용과 교통사고빈도와의 관계에서 개발밀도(연상면적)가 높을수록 교통사고빈도가 높게 나타나는 상관성을 파악하였으며 주거연상면적, 상업연상면적, 업무연상면적 모두 교통사고와 반응하는 특징이 다름을 확인할 수 있었다. 총 4개의 유형구분이 가능하였으며 각 유형에 대한 지역특성과 사고특성을 살펴보았다. 4개 유형의 모형에 반영된 설명변수는 공통변수와 각 유형별로 상이한 특성변수가 도출되어 지역적 특성이 모형에 반영된 것으로 판단할 수 있다. 사회 경제적 변수로는 통행을 유발 유입시키는 교통활동을 대변할 수 있는 변수가 채택되었으며 교통여건 변수로는 교통시설 및 안전과 관련된 변수가 채택되었다.

• 자동차안전학회지
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• 제13권4호
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• pp.53-59
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• 2021

According to the Korean Traffic Accident Analysis System (TAAS), more than 200,000 traffic accidents occur every year. Also, the statistics including auto insurance companies data show 1.3 million traffic accidents. In the case of TAAS, the types of traffic accidents are simply divided into four; frontal collision, side collision, rear collision, and rollover. However, more detailed information is needed to assess for advanced driver assist systems at intersections. For example, directional information is needed, such as whether the vehicle in the car accident way in a straight or a left turn, etc. This study intends to redefine the type of accident with the more clear driving direction and path by referring to the Negligence standards used in automobile insurance accidents. The standards largely divide five categories of car-to-car/motorcycle /pedestrian/cyclist, and highway, and the each category is classified into dozens of types by status of the traffic signal, conflict situations. In order to present more various accident types for auto insurance accidents, the standards are reclassified driving direction and path of vehicles from crash situations. In results, the car-to-car accidents are classified into 33 accident types, car-to-pedestrian accidents have 19 accident types, car-to-motorcycle accidents have 38 accident types, and car-to-cyclist accidents are derived into 26 types.

• 대한교통학회지
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• 제27권4호
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• pp.41-53
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• 2009

2003년 1월부터 2008년 6월까지 5년 6개월 동안 대전지역에서 발생한 교통사고와 같은 기간 경찰에서 단속한 통계를 근거로 통계적으로 의미가 있다고 판단된 전체분석, 중앙선침범 분석, 신호위반 분석, 음주운전 분석, 무면허운전 분석, 이륜차 분석, 보행자 분석, 교통사망자 분석 및 교통안전시설 분석, 안전홍보 및 교육 분석, 차량등록 수와 교통사고와의 관계를 SPSS12.0 통계프로그램을 이용하여 분석을 시도한 결과, 의미 있는 결과들이 산출되었다. 교통단속과 교통사고가 일정한 상관관계가 있음이 증명되어 모형이 산출되었고, 교통단속의 효과는 일정한 시간적 간격을 가지고 나타났다. 교통단속과 교통사망자와의 관계는 상관계수가 너무 낮아 통계적으로 유의하지 않은 것으로 나타나 경찰의 단속이 교통사망사고 예방에는 거의 효과가 없는 것으로 분석되었다. 이는 지금까지 추진되어온 교통안전대책의 방향전환이 시급함을 나타내는 것이어서 보다 효과적인 대안수립이 필요하다고 할 수 있다.

• 한국측량학회지
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• 제23권4호
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• pp.345-352
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• 2005

첨단 정보화시대에 교통사고처리 및 분석의 병행되는 업무는 개별적 수행에 따른 이중적 업무로 진행되고 있으며, 교통사고를 처리하는 현 경찰청은 최첨단 기술을 병행하지 못하고, 아직도 수작업에 의해 업무가 진행되고 있으며, 교통사고분석에 있어서는 지리요소와 개별 및 복합적 요소에 따른 교통사고 요인 대한 연구와 사고원인에 대한 사고분석에 관한 연구가 미흡한 실정이다 따라서, 교통안전정책을 효과적으로 수립 및 시행하고 이를 평가하기 위해서는 무엇보다 교통사고 자료를 토대로 교통사고 발생원인 및 특징에 대한 체계적, 과학적 분석이 선행되어야 한다. 교통사고 자료를 지형공간정보체계기반으로 구축하여 기존에 텍스트 형태의 자료 수집이 아닌 PDA를 이용하여 실시간으로 사고 자료를 표준 도로교통사고 자료 양식에 맞게 변환하여 저장 및 사고 정보를 관리할 수 있으며, 공간 데이터 특수성과 연계하여 사고원인에 대한 지리적 분석 데이터로 표출하는 통합 관리 시스템 개발에 관한 연구를 수행하였다.

• 한국안전학회지
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• 제29권2호
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• pp.76-81
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• 2014

Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.

• 한국안전학회지
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• 제32권6호
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• pp.143-149
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• 2017

According to traffic accidents statistics, the number of fatalities, injuries and the rate of increase of traffic accidents have been decreasing over last 5-years. The fatality rate is 1.9 for total accidents but the fatality rate for single vehicle accidents shows a 7.9, which is 4 times greater than the average for all accidents. Single vehicle accidents, usually occur as a vehicle impacts a fixed objects on the roadside as the vehicle runs-off from the road. However, few researches have been conducted considering the accident severity of single vehicle accidents which impact to the fixed objects on the road. The single vehicle accident is directly related to the composition of road cross section, (since it is the required the minimum width of a road for all run-off-the-road vehicles to recover or come to a safe stop). Therefore, this study analyzes the influence of road cross section on traffic accidents to find out the severity of single vehicle accident. To analyze the road elements which are related to the accident severity, the Ordered Probit Model was used. As variables, the element of road cross section such as the radius(m), vertical curve(%), cross sectional grade(%), road width(m). number of climbing lane, median, and curb, were used (as was the 3-years of accidents data). This study found out that cross slope(%), road width(m), and the number of climbing lane are related to the severity of accident. The result of this study could be expected to improve the road safety and to be used as the base data for further road safety research.

• 한방재활의학과학회지
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• 제24권1호
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• pp.65-76
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• 2014

Objectives The purpose of this study is to investigate the corelation between traffic accident severity and treatment period and cost by traffic accident. Methods Outpatients who visited Jaseng Korean medicine hospital traffic accident clinic were investigated by hospital computer system about period and cost of treatment. And we requested for repair cost of car, a sort of car groups and agreement date with car insurance company to insurance company. Therefore we could analysis statistical correlation of traffic accident severity (repair cost of car) with period of treatment, cost of treatment, number of treatment in same sort of car groups. For statistics, we used SPSS version 18.0 for windows. Results A significant positive correlation was found between traffic accident severity (repair cost of car) with repair cost of car, cost of treatment and number of treatment in semi-midsize car, midsize car group. But, any significant correlation wasn't found between traffic accident severity (repair cost of car) with repair cost of car, cost of treatment and number of treatment in small car, full-sized car group. In SUV (sport utility vehicle) car group some significant correlation was found, but it isn't between traffic accident severity (repair cost of car) with repair cost of car, cost of treatment and number of treatment. Conclusions It was found that traffic accident severity (repair cost of car) had an effect on cost of car, cost of treatment and number of treatment by statistical analysis. But, it was also suggested strongly that other factors like a cost of car and ages had an effect on them.