• Proceedings of the KOR-KST Conference
• /
• 1998.10a
• /
• pp.361-369
• /
• 1998

교통사고의 형태가 점차 복잡하고 대형화되면서, 물적·인적손실도 예전과는 비교할 수 없게 커지고 있다. 교통사고는 당사자와 그 가족에게는 지울 수 없는 상처를 남기고, 국가적으로도 국력낭비라는 문제점을 만든다. 교통사고를 줄이기 위해서는 개별 교통사고에 대한 철저한 조사와 교통사고 잦은 지역에 대한 분석이 필수적이다. 이러한 분석을 바탕으로 철저한 조사와 교통사고 잦은 지역에 대한 분석이 필수적이다. 이러한 분석을 바탕으로 교통안전시설물의 개5js 및 보간, 부적절한 도로 개선 등 교통사고 방지를 위한 효율적인 대책을 수립할 수 있게 된다. 교통사고 발생지점 자료의 미비로 인하여 사고지점 및 노선 축별 분석이 불가능한 현재의 문제점을 해결하기 위하여 지리정보 시스템(GIS)을 이용한 효율적인 지점별 교통사고 분석이 요구된다. 지리정보시스템 (GIS)을 이용하게 되면, 특정지점의 교통사고에 관련된 발생건수, 사고유형, 사고내용, 발생시기 등 여러 가지 교통사고 정보를 관리하고, 교통사고 잦은 지점의 환경적요인 등을 분석함으로서 교통사고를 미연에 방지하기 위한 의사결정을 지원할 수 있다. 본 연구는 GIS를 활용하여 급증하는 교통사고에 관련된 다양한 교통사고 정보를 효율적으로 전산 관리하고, 교통사고 잦은 지점 및 사고발생 원인 등을 분석할 수 있는 시스템 개발에 목적이 있으며, 특히 개발된 시스템은 교통사고 실무담당자 활용에 편의를 도모하는데 주안점을 두었다.

• Journal of Korean Society of Transportation
• /
• v.36 no.1
• /
• pp.13-22
• /
• 2018

Buses, one of the representative public transportation modes, are divided into a vareity of service types according to the purpose of operation, operating distance, and management agencies. Although bus-involved crashes may cause large amount of damage due to the higher number of passengers boarded on a bus, prior research has little focused on crash severity according to bus service types. This study aims to investigate factors influencing crash severity in bus-involved crashes and to present policy implications to reduce crash severity by bus service type. To do this, bus-involved crash data from the Traffic Accident Analysis System (TAAS) during five-year period are used. Ordered probit models for three types of bus service, i.e., city bus, suburban and express buses, and charter buses, are estimated to analyze the factors of accident severity. The results show that there are significant differences of factors affecting crash severity among the types of bus services while speed and road surface influence all the types of buses. In case of local buses, time of day, roadway alignment, and installation of a traffic signal are found to be statistically significant factors. Seat belt and road class have significant effects on injury severity of the intercity and express buses. Chartered buses have time of day, driving experience, seatbelt, traffic signal, and day of week as the significant factors. The results of this study are expected to contribute to the reduction of the crash severity by each bus service type.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.6
• /
• pp.1123-1130
• /
• 2020

This study aims to classify the severity in car crashes using five classification learning models. The dataset used in this study contains 21,013 vehicle crashes, obtained from Korea Expressway Corporation, between the year of 2015-2017 and the LightGBM(Light Gradient Boosting Model) performed well with the highest accuracy. LightGBM, the number of involved vehicles, type of accident, incident location, incident lane type, types of accidents, types of vehicles involved in accidents were shown as priority factors. Based on the results of this model, the establishment of a management strategy for response of highway traffic accident should be presented through a consistent prediction process of accident severity level. This study identifies applicability of Machine Learning Models for Predicting of the Severity of Car Traffic Accidents on a Highway and suggests that various machine learning techniques based on big data that can be used in the future.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2015.11a
• /
• pp.191-192
• /
• 2015

고령화 진입으로 인한 노인들의 사회적 활동 범위가 넓어지고 있다. 이에 노인운전자수 및 교통사고가 증가 하고 있다. 이에 인천광역시 노인운전자 교통사고 분석을 통하여 문제점을 파악하고 요인분석을 통해 사고유형의 경향 변화를 살펴보고자 하였다. 분석결과 차대차에 사망사고는 감소하고 있으나, 기타요인에 의한 사망사고는 증가 하는 것으로 분석 되었다. 이에 기타요인에 대한 추가적인 연구가 필요하다고 생각한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.6
• /
• pp.49-60
• /
• 2020

The number of traffic control equipment installed to prevent traffic accidents increases every year due to continuous installation by the National Police Agency and local governments. However, it is installed based on qualitative judgment rather than engineering analysis results. The purpose of this study was to present additional installations in the future by presenting the installation criteria considering the severity of accidents for each road type and calculating the appropriate number of installations. ARI indicators that can indicate the severity of traffic accidents were developed, and road types were classified through analysis of variance and cluster analysis, and accident information by road type was analyzed to derive ARI of clusters with high traffic accident severity. The ARI values required to determine the installation of equipment for each road type were presented, and 5,244 additional installation points were analyzed.

• Journal of Korean Society of Transportation
• /
• v.23 no.3 s.81
• /
• pp.125-136
• /
• 2005

The current traffic accident reduction procedure in economic feasibility study does not consider the characteristics of road and V/C ratio. For solving this problem, this paper suggests methods to be able to evaluate safety of each road in construction and improvement through developing accident Prediction model in reflecting V/C ratio Per road types and traffic characters. In this paper as primary process, model is made by tke object of urban roads. Most of all, factor effecting on accident relying on road types is selected. At this point, selecting criteria chooses data obtained from road planning procedure, traffic volume, existence or non-existence of median barrier, and the number of crossing point, of connecting road. and of traffic signals. As a result of analyzing between each factor and accident. all appear to have relatives at a significant level of statistics. In this research, models are classified as 4-categorized classes according to roads and V/C ratio and each of models draws accident predicting model through Poisson regression along with verifying real situation data. The results of verifying models come out relatively satisfactory estimation against real traffic data. In this paper, traffic accident prediction is possible caused by road's physical characters by developing accident predicting model per road types resulted in V/C ratio and this result is inferred to be used on predicting accident cost when road construction and improvement are performed. Because data using this paper are limited in only province of Jeollabuk-Do, this paper has a limitation of revealing standards of all regions (nation).

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2017.11a
• /
• pp.345-346
• /
• 2017

본 논문에서는 재난유형별 재난 대응시 재난관리자원 동원과 관련하여 발생한 문제점에 대하여 분석하였다. 재난 발생시 재난확산방지를 위하여 신속한 대응이 중요하나, 재난대응에 대한 문제점 분석이 미흡한 실정이다. 재난대응에 대한 분석을 위하여, 최근 20년(1996~2015년)동안 중앙재난안전대책본부 및 지역재난안전 대책본부가 운영된 사회재난 사례를 수집 분석하였다. 재난사례 중 자원동원관련 정보 확인이 가능한 사회재난에 대하여 재난유형을 분석하고, 발생빈도가 높은 재난유형에 대하여 재난 대응시 자원동원과 관련한 문제점을 분석하였다. 재난유형 분석결과, 화재사고가 34건으로 가장 많이 발생하였으며, 폭발사고가 14건, 교통사고가 10건으로 발생하였다. 재난유형 중 발생 건수가 많았던 화재, 폭발, 교통사고의 재난 대응시 자원과 관련하여 문제점을 분석한 결과, 전체적으로 초기대응 미흡으로 인한 자원동원 소요시간 증가문제가 가장 많이 발생하였으며, 그 다음으로 보유자원 부족으로 인한 문제가 많이 발생하였다.

• Journal of Korean Society of Transportation
• /
• v.26 no.4
• /
• pp.29-40
• /
• 2008

Although a good understanding of the relationship between highway traffic accidents and highway geometric features is fundamental in highway design and safety, the relationship is not well understood quantitatively. The overall goal of this paper is to formulate a reliable statistical model fitting to historical highway accident data. The model can be used to estimate the effect of road design elements on safety for the practical purposes of highway design applications. En route to achieving this goal, a number of specific research objectives were accomplished: investigate the major design elements affecting highway safety; review the existing modeling approaches in order to assess the relationship between safety and highway design features; and formulate a statistical model fitting to the accident data in order to estimate the interchange ramp junction accident frequency of rural highways.

• Journal of Korean Society of Transportation
• /
• v.25 no.6
• /
• pp.55-63
• /
• 2007

This research deals with the relations between intersection types and traffic accidents in the case of Korean expressways. The purpose of this research is to test the hypotheses that traffic accidents depend on intersection types and geometric design elements. The main research results are as follows. First, the accident comparisons that are drawn from junctions with interchanges, and trumpet interchanges with other types of interchanges respectively displays no significant meaning. However, the differences among four types of trumpet interchanges are found to be meaningful. In other words, the BO type trumpet interchanges seem to have far more traffic accidents than other types of trumpet interchanges. Second, hypothesis tests show that approximately 90 degree and one lane connection roads have lower accident rates. Based on this research, the following directions can be suggested for the safer types of intersections and geometric design elements in freeway construction. From a road safety point of view, it is advisable not to introduce BO type interchanges. It is also desirable that the intersection angle should be approximately 90 degrees. Furthermore, it would be wise to design one lane roads if the connection road has low traffic volumes.

• Proceedings of the KOR-KST Conference
• /
• 1998.10a
• /
• pp.389-397
• /
• 1998

공공기관에서 발간하는 통계자료들을 살펴보면 대부분 관찰값으로 빈도수나 또는 전체를 기준으로 하여 그 빈도수가 차지하는 퍼센트정도로 나타나 있다. 그러나 우리는 꾸준히 변하는 사회에 살고 있는데 객관적인 자료는 쉽게 설명되지 않으며 이해하기 어렵다. 예를 들어 모든 자동차 사고 가운데 승용차의 사고는 다른 종류보다 제일 많은 60%이상을 차지한다. 그러나 승용차는 등록된 모든 차량종류에서 70% 이상을 점유하고 있으므로 다른 차종보다 사고율은 제일 낮다. 따라서 교통사고 건수가 제일 많은 승용차가 다른 차종에 비하여 제일 사고율이 낮고 가장 안전한 차종이라는 것을 경험할 수 있다. 이 논문에서는 1991년부터 발표된 교통사고에 대한 일반적인 통계자료를 우리들의 생활 속에서 느낄 수 있는 위험 인지도로 바꾸어 계산하여 분석하였다. 차종별, 지역별, 연령별, 도로종류별, 사고 유형별, 교통수단별, 시간별, 법규위반별로 구분된 교통사고의 위험에 대한 인지도를 총 인구수(시도별)와 등록된 여러 종류의 자동차의 대수 또는 여러 종류의 도로 길이 등과 같은 요인들을 고려하여 비교 분석하였다.