• International Journal of Highway Engineering
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• v.12 no.2
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• pp.43-49
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• 2010

This study deals with the traffic accident of the Cheongju arterial link sections. The purpose of the study is to develop the traffic accident model. In pursuing the above, this study gives particular attentions to developing the ZAM(zero-altered model) model using the accident data of arterial roads devided by 322 small link sections. The main results analyzed by ZIP(zero inflated Poisson model) and ZINB(zero inflated negative binomial model) which are the methods of ZAM, are as follows. First, the evaluation of various developed models by the Vuong statistic and t statistic for overdispersion parameter ${\alpha}$ shows that ZINB is analyzed to be optimal among Poisson, NB, ZIP(zero-inflated Poisson) and ZINB regression models. Second, ZINB is evaluated to be statistically significant in view of t, ${\rho}$ and ${\rho}^2$ (0.63) values compared to other models. Finally, the accident factors of ZINB models are developed to be the traffic volume(ADT), number of entry/exit and length of median. The traffic volume(ADT) and the number of entry/exit are evaluated to be the '+' factors and the length of median to be '-' factor of the accident.

• Journal of Korean Society of Transportation
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• v.29 no.6
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• pp.67-74
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• 2011

This study deals with the traffic accidents data from the Korean rotaries (circular intersections) to verify their characteristics affected by different vehicle types. This paper categorized the data into three groups based on vehicle types, and developed a set of accident models. The paper proposed two ZIP models and one negative binomial model through a statistical analysis for three vehicle types: automobile, truck and van, and others. The differences among those models were then statistically compared.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.106-106
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• 2017

우리나라는 현재 재난의 유형을 자연재난과 사회재난으로 구분하여 관리하고 있다. 하지만 최근 재난 사고 사례를 살펴보면 단일재난으로 인한 피해보다 자연재난이 발생한 이후 사회재난으로 재난이 전파되는 복합재난의 형태가 종종 나타나고 있다. 복합재난은 단일 재난에 의한 피해(인적, 물적) 보다 크게 나타나고 복합재난의 발생원인 및 전파과정을 분석하기 어려워 이에 대한 다각적인 분석과 동시에 재난상호간의 연관성을 도출하는 연구가 필요한 시점이다. 과거 재난사고정보를 분석하는 연구는 일반적인 통계기법을 활용한 분석에 머물러 있으며 수집된 재난사고사례가 많지 않아 분석에 신뢰성을 보장할 수 없었다. 이에 본 연구에서는 복잡하게 나타나는 재난 사고를 분석하기 위하여 최근 각광받고 있는 인공지능 분석기법을 연구에 고려하였다. 본 연구의 과정은, 첫째로 재난사고정보 분석에 인공지능을 활용한 사례를 조사하고 여타 연구분야에서 적용되고 있는 인공지능 분석기술을 재난사고정보 분석에 활용할 수 있는 방안을 모색하였다. 둘째로 수집가능 한 재난사고정보를 수집하고 인공지능 모형에 적용가능 한 형태로 변환하는 과정을 수행하였다. 셋째로 변환된 재난사고정보를 대표적인 인공지능 알고리즘을 활용하여 다양한 질문(목적)에 부합하는 재난사고정보 분석모형을 구축하고자 하였다. 마지막으로 다양한 인공지능 알고리즘을 적용한 모형의 신뢰성을 비교하였으며 이를 통하여 재난사고정보 분석에 적용가능 하며 질문(목적)에 부합하는 최적 인공지능 알고리즘을 도출하고자 하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.1
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• pp.111-117
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• 2017

The purpose of forecasting the traffic accident is to reduce the traffic accident. Therefore, the goal of this study is to provide severity of the accident by Forecasting of Probability of Accident. In Korea, accident data are distributed to the public via internet that includes numbers of accident and fatality as well. And crude level of accident severity in accordance with weather information for metropolitan city level are available by weekly. However, It can not reflect personal needs at specific origin of the travel for a certain traveller. This study aims to consider 68 major intersections with precipitation data, and eventually introduces link based accident severity. In estimating the accident severity both dynamic data such as drivers' characteristics, driving conditions and static data such as geometry of road, intersection characteristics are considered. Also, we identifies accident severity according to the accident type - 'vehicle to vehicle,' 'vehicle to person.' Finally, the outcomes of this study suggests taylor-made accident severity information for a specific traveller for a certain route.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.4
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• pp.345-352
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• 2005

In up-to-date information anger time it is caused by with business of traffic accident control and analysis and two time it accomplishes a business. National Police Office which controls a traffic accident does not execute an up-to-date technique. And, it is working yet by the hand, There is to traffic accident analysis and the research regarding the analysis against the research which it follows in geography element and composition element and an accident cause is weak. Consequently, effectively establishment and it enforces a traffic safety policy and from the hazard which it evaluates traffic accident data the system and scientific analysis against a traffic accident occurrence cause and a feature in basic must become accomplished. The research which it sees constructs a traffic accident data in GIS base. It is like that, it uses the PDA where is not the collection of data of text form in existing and at real-time it converts store and an accident data rightly in standard traffic accident data form and it will be able to manage. It was related with a space data peculiarity and the research regarding the system development with the geography analysis data about an accident cause under manifesting it accomplished.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.5-7
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• 2021

최근 해양사고 발생 건수의 급격한 증가와 더불어 어선의 조업 중 안전사고로 인한 인명피해 또한 크게 증가하였다. 중앙해양안전심판원의 공식 통계에 따르면, 2017년 46명이었던 안전사고의 사망실종자는 2019년 38명으로 소폭 감소하였으나, 2020년 60명으로 크게 증가하였다. 그러나, 사망자가 감소하였던 2019년 안전사고로 인한 부상자는 164명으로 전년도 76명 대비 2배 이상 증가하며 어선원에 대한 안전재해 예방은 실효성을 갖지 못하는 실정이다. 국내 업종별 산업재해율을 비교해볼 때, 어업 재해율은 농업, 광업, 제조업, 건설업, 임업 등을 포괄한 전체 산업 평균 재해율의 약 10배에 이르며 어업인들의 안전이 큰 위협에 놓여있음을 시사한다. 본 연구에서는 2017년부터 2019년의 수협중앙회의 어선원 공제보험데이터를 활용하여 선박별, 재해자별 사고 현황과 발생 형태를 분석하였다. 특히, 교차분석과 연관규칙분석기법을 통해 승선 직책별 부상 부위와 사고발생 형태를 식별하였으며, 이에 따라 직책에 따른 부상 부위를 비교하여 맞춤형 예방대책 수립을 위한 지원과, 사고발생형태의 군집 분석을 통해 발생형태간의 연결고리를 도출하여, 스위스 치즈 모델에서 제안하는 취약점(Weakness)를 식별하고, 이러한 취약점을 보완하기 위한 방어 장벽(Protective barriers)을 제언한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.145-154
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• 2012

This paper analyzed the characteristics of traffic accidents in all tunnels on nationwide freeways and selected some various independent variables related to accident occurrence in tunnels. The study aims to develop reliable accident forecasting models using the various dependent variables such as the number of accident (no.), no./km, and no./MVK. Finally, reliable multiple linear regression models were proposed in this paper. This study tested the validity verification of developed models through statistics such as $R^2$, F values, multicollinearity, residual analysis. The paper selected the accident forecasting models considering the characteristics of tunnel accidents and two models were finally proposed according to two groups of tunnel length. In the selected models, natural logarithm of ln(no./MVK) is used for the dependent variable and AADT, vertical slope, and tunnel hight are used for the independent variables. The reliability of two models was proved by the comparison analysis between field data and estimating data using RMSE and MAE. These models may be not only effective in evaluating tunnel safety under design and planning phases of tunnel but also useful to reduce traffic accidents in tunnels and to manage the traffic flow of tunnel.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.155-162
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• 2010

Elderly pedestrians account for more than 30% of all deaths in traffic accident and the number of elderly-related traffic accidents are increasing every year. Considering Korea's quickly aging society, drastic measures must henceforth be taken. Taking notice of the elderly living in and moving around the provinces, this research focused on analyzing the characteristics of elderly pedistrians' traffic accidents on provincial roads and developing an Equivalent Property Damage Only (EPDO) model. The authors collected 720 traffic accident data points from the police agency and developed the EPDO model, weighted differently by light injury, severe injury, and death using Multiple Regression Analysis. As a result, the speed of vehicles is the most influential variable in EPDO, and the shape of the road is significant as well. Therefore, various policies should be established like improving the environmental factors of provincial roads, like expanding speed-reduction treatments and signage, and setting up detours around areas of high elderly concentration.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.181-193
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• 2017

The paper introduces bottom-up and optimal combination methods that can analyze and forecast hierarchical time series. These methods allow forecasts at lower levels to be summed consistently to upper levels without any ad-hoc adjustment. They can also potentially improve forecast performance in comparison to independent forecasts. We forecast regional traffic accident counts as time series data in order to identify efficiency gains from hierarchical forecasting. We observe that bottom-up or optimal combination methods are superior to independent methods in terms of forecast accuracy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.1003-1010
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• 2006

This study developed a traffic accident information management system based on WebGIS that can process a lot of data for giving effectively diagnosis of traffic accidents in serious damage circumstances by traffic accident. Also, this study presents a way to compose and to convey traffic accident information. In addition, non-spatial attributes as well as spatial attributes about traffic accidents information be integrated and managed by the system. To provide Web service, we developed modules that can supply visually spatial information and traffic accidents data through ASP, Javascript, ArcIMS based on Web and constructed a server. And constructed system include a function that offer the now situation of traffic accident in real time, which supply the statistical data of traffic accident through Web as soon as user entry data in comparison with previous way that preparatory period until traffic accidents data is supplied to peoples had been long. Traffic accidents are analyzed with only nonspatial attribute by simply collecting in the past. However, system constructed by this study offer new function that can grasp visually accident spot circumstance and use detailed content and accurate location data as well as statistical data of traffic accidents. Also, it offer interface that can connect directly with accident charge policeman.