• Journal of Korean Society of Transportation
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• v.16 no.1
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• pp.59-78
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• 1998

'90년대에 들어서면서 급속한 경제성장과 함께 자동차수가 급증하여 '97년에는 1.000만대를 돌파 하였다. 자동차수의 증가와 함께 교통사고도 나날이 늘어 '96년에는 사망자가 12,600여명에 이르렀다. 교 통사고는 막대한 인명피해와 함께 사회적으로 많은 비용을 소모한다. 교통사고로 인한 사회적 비용의 추정은 교통안전사업의 효과분석 및 기타 교통관련사업에서 꼭 필요한 자료이다. 이제까지 국내에서 수 행된 교통사고비용은 1년간의 전체 사고비용만을 추정하고 사고등급별 사고건당 사고비용은 도출하지 못하였다. 이에 본연구는 교통관련사업에서 꼭필요한 자료이다. 이제까지 국내에서 수행된 교통사고 비 용은 1년간의 전체 사고비용만을 추정하고 사고등급별 사고건당 사고비용은 도출하지 못하였다. 이에 본 연구는 교통관련사업에 필수적인 사고심각도에 따른 교통사고비용을 도출하려한다. 교통사고비용을 산출하는 대표적인 방법에는 총생산손실법과 개인선호성법이 있으나 본연구에서는 총생산손실법을 이용 하였다. 교통사고비용 항목은 사고로 인한 생산손실비용, 의료비용, 차량수리비용, 행정비용 및 PGS(Pain, Grief & Suffering) 비용으로 구분된다. 이중에서 PGS비용은 국내에서는 처음으로 고려된 항 목으로 교통사고 피해자 및 가족의 물질적·정신적 피해비용을 의미한다. 본연구에서는 각 항목의 비용 추계를 가능한 한 종합적이고 체계적이며 구체적으로 산출하였으며 그결과 사고등급별 건당 교통사고비 용을 도출하였다. PGS를 고려하지 않은 경우 사망사고 1건당 2억4천만원이고 중상사고 1건당 2천3백만 원 경상사고 1건당 7백 9십만원으로 추정되었다. 또한 사망자와 부상자 1인당 평균사고비용은 각각 2억 1천만원과 1천1백만원으로 나타났다.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.157-165
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• 2011

With respect to the trend of highway traffic accident, highway accident is in decline, whileas, the fatality is on an increasing trend. Thus, many efforts to decrease highway traffic accidents and improve the safety, are required. In particular, in case of highway, the management standard by grade for accident black spot is designated. Thus, investing the effect factors by grade for highway traffic accident is required in detail. Thus, in this study, the factors affecting the traffic accidents among the environmental factors based on the graded data for the accident black spot in the applicable section targeting the Seoul-Pusan Express Highway, were reviewed; accident forecasting model which would analyze the characteristics of the accidents for determining the accident grade, was developed. As a result of establishing a model by using Quantification Theory of Type II, considering the characteristics of the dependent and independent variables based on the geometric structure, 'the fixed variable' among the variables relating to the accident, for the variables influencing over the accident grade, 'the type of vans, a chassis and people', 'the trailers, special vehicles and chassis people' and 'the negligence of watching and cloudy weather' were analyzed as common factors, in case of 'horizontal alignment', 'longitudinal slope' and, 'barricade' respectively.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.1
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• pp.101-110
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• 2010

In this study, a prediction model for incident reaction time was developed so that we can cope with the increasing demand for information related to the accident reaction time. For this, the time for dealing with accidents and dependent variables were classified into incident grade, A, B, and C. Then, fifteen independent variables including traffic volume, number of accident-related vehicles and the accidents time zone were utilized. As a result, traffic volume, possibility of including heavy vehicles, and an accident time zone were found as important variables. The results showed that the model has some degree of explanatory power. In addition, when the CHAID Technique was applied, the Answer Tree was constructed based on the variables included in the prediction model for incident reaction time. Using the developed Answer Tree model, accidents firstly were classified into grades A, B, and C. In the secondary classification, they were grouped according to the traffic volume. This study is expected to make a contribution to provide expressway users with quicker and more effective traffic information through the prediction model for incident reaction time and the Answer Tree, when incidents happen on expressway

• Journal of Korean Society of Transportation
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• v.21 no.1
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• pp.21-40
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• 2003

A traffic accident analysis method was developed and tested based on the highway alignment risk indices using geographic information systems(GIS). Impacts of the highway alignment on traffic accidents have been identified by examining accidents occurred on different alignment conditions and by investigating traffic accident risk indices(TARI). Evaluative criteria are suggested using geometric design elements as an independent variable. Traffic accident rates were forecasted more realistically and objectively by considering the interaction between highway alignment factors and the design consistency. And traffic accident risk indices and risk ratings were suggested based on model estimation results and accident data. Finally, forecasting traffic accident rates, evaluating the level of risk and then visualizing information graphically were combined into one system called risk assessment system by means of GIS. This risk assessment system is expected to play a major role in designing four-lane highways and developing remedies for highway sections susceptible to traffic accidents.

• Journal of Korean Society of Transportation
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• v.33 no.5
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• pp.497-507
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• 2015

Nonrecurrent congestion of freeway was primarily caused by incident. The main cause of incident was known as a traffic accident. Therefore, accurate prediction of traffic incident clearance time is very important in accident management. Traffic accident data on freeway during year 2008 to year 2014 period were analyzed for this study. KNN(K-Nearest Neighbor) algorithm was hired for developing incident clearance time prediction model with the historical traffic accident data. Analysis result of accident data explains the level of accident significantly affect on the incident clearance time. For this reason, incident clearance time was categorized by accident level. Data were sorted by classification of traffic volume, number of lanes and time periods to consider traffic conditions and roadway geometry. Factors affecting incident clearance time were analyzed from the extracted data for identifying similar types of accident. Lastly, weight of detail factors was calculated in order to measure distance metric. Weight was calculated with applying standard method of normal distribution, then incident clearance time was predicted. Prediction result of model showed a lower prediction error(MAPE) than models of previous studies. The improve model developed in this study is expected to contribute to the efficient highway operation management when incident occurs.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.857-871
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• 2013

Export credit insurance is a policy tool for export growth. In the era of free trade under the governance of WTO, export credit insurance is still allowed as one of the few instruments to increase exports. This paper, using data on short-term export insurance contracts issued to foreign subsidiaries of Korean companies, calculates the expected loss per exposure by combining the effect of risk factors (credit rate of foreign importers, size of mother company, and payment period) on loss frequency and loss severity in different levels. We, applying generalized linear models (GLM), first fit loss frequency and loss severity to negative binomial and lognormal distribution, respectively, and then estimate the loss frequency rate per contract and the ratio of loss severity to coverage amount. Finally, we calculate the expected loss per exposure for each level of risk factors by combining these two rates. Based on the result of statistical analysis, we present the implication for the current premium rate of export insurance.

• Journal of Korean Society of Transportation
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• v.29 no.6
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• pp.25-37
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• 2011

This research aimed to investigate whether commercial drivers' situation awareness ability is related to their frequency and magnitude of caused accidents and penalty points. For the purpose of measuring drivers' situation perception and interpretation capacities, two tests named 'situation awareness test' and 'hazard perception test' were developed. The tests were based on the data from 299 commercial drivers (test drivers) using a driving simulator. The outcome of drivers' performance on situation awareness and hazard perception tests was designed to be categorized into 5 grades, classifying the best as grade 1 and the worst as grade 5. As the result, low grades on situation awareness test had positive relationship with accumulated penalty points, frequency of accidents and safety index. Grades on hazard perception test were also positively correlated with accident frequency and safety indices. This suggests situation awareness ability of commercial drivers is significantly related to traffic violations and accident causing tendencies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.1-15
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• 2023

In this study, the number of truck traffic accidents was predicted by using Poisson and negative binomial regression analysis to understand what factors affect accidents using expressway data. Significant variables in the truck traffic accident prediction model were continuous driving time, link length, truck traffic volume. number of bridges and number of drowsy shelters. The calculated LOSS rating was expressed on the national expressway network to diagnose the risk of truck accidents. This is expected to be used as basic data for policy establishment to reduce truck accidents on expressways.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.18-20
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• 2000

공간 데이터베이스를 권한이 없는 사용자의 접근, 고의적인 파괴 혹은 우발적인 사고로부터 보호하기 위하여 공간 데이터베이스에 대한 보안정책의 수용이 필요하다. 보안등급의 적용 단위는 필드, 객체, 레이어 단위의 방법이 있으며, 객체 단위의 보안등급 적용은 인접한 객체의 위상관계에 의한 정보 유출의 문제점이 있고, 레이어 단위 보안등급의 적용은 공간 객체에 대한 사용자의 접근성을 저하시키는 문제를 발생시킨다. 본 논문에서는 공간 객체에 대한 사용자의 접근성을 향상시키기 위하여 타일 단위의 접근제어 기법을 제안한다. 타일 단위 접근제어 기법은 보안등급 적용 단위를 타일(Tile)로 하며 레이어, 지도의 보안등급은 하위 수준인 타일과 레이어에 부여된 보안등급의 최하위 등급으로 각각 설정한다. 제안한 기법의 구현을 위해 타일의 구조와 스키마를 정의하고, 보안 유지를 위한 연산 제약사항을 기술한다. 연산 제약 사항은 기본적으로 BLP의 속성을 따르고, 상위 등급 객체에 대한 수정 방지와 하위 등급 객체에 대한 수정 허용을 위해서 BLP 속성을 확정한다. 제안된 기법은 레이어 단위의 접근제어 기법에서 발생하는 문제점을 해결하여 객체에 대한 사용자의 접근성을 향상시키며 인접한 객체 사이의 위상관계에 의한 정보의 유출을 방지한다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.30 no.6
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• pp.235-241
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• 2018

In this study, we collected cases of accidents caused by swell in the east coast of Korea from 2013 to 2017. The location of the accident, the season, the type of coast and the type of damage were classified and the correlation between the accident and the wave data was analyzed by collecting the observation data of the nearby area at the time of the accident. Also, based on the results of the coastal disaster vulnerability assessment of Korea Hydrographic and Oceanographic Agency, the vulnerability grades of swell accidents area were evaluated. In swell accident area, the average grade of the wave exposure index was 4.91, the wave sensitivity index was 3.87, and the wave impact index was 4.90. As a result, most of the swell accidents occurred in the 5 grade (very vulnerable level) of the wave impact index, and the area of the east coast (78.7%) of the same 5 grade was classified into five types according to the wave sensitivity index result. Finally, a countermeasures was taken for characteristics of each type.