• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1999.06a
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• pp.277-280
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• 1999

신호단어는 잠재적 위험을 빠르게 알리는 데에 주로 사용하는데, 위험, 경고, 주의, 지시등의 용어가 여기에 해당된다. 각각의 단어는 위험의 성질, 따르지 않았을 때의 결과, 또 필요로 되는 행위를 포함하고 있다. 이러한 이유 때문에 이미 교통안전분야에 도로표지판의 정보전달이나, 자동차 번호판의 개선에 대하여 연구를 계속하여 오고 있으나, 산업안전분야에의 적용은 아직 미흡한 수준에 머물러 있다. (중략)

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.448-452
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• 2011

기존의 하천개수사업 치수경제성분석에서는 홍수피해경감편익 산정시 계획홍수위 이하의 홍수에 대해서 제방이 완벽히 방어한다는 가정 하에 제방으로 인한 피해경감액을 편익으로 산정하고 있다. 그러나 전통적 빈도해석 방법 및 수리수문 모형에 내재된 매개변수 불확실성으로 인하여 특정 하천구간에서 산정된 계획빈도 이하의 홍수위가 제방고에 해당하는 임계사상을 초과할 수도, 반대로 계획빈도 이상의 홍수위가 임계사상을 초과하지 않을 가능성도 있다. 이러한 불확실성은 수공구조물의 붕괴에 대한 잠재성을 가진 중요한 요인으로도 작용한다. 본 연구는 이러한 잠재적 위험도를 제방 월류위험도로 정의하고 이를 Bayesian MCMC에 의해 산정하는 방법을 제시하였다. 제시된 방법론은 4대강살리기사업 전 후에 대해 적용하였으며, 계획홍수위 저하에 따른 잠재적 홍수위험 감소 효과를 정량적으로 나타낼 수 있었다. 월류 위험도는 빈도별 홍수피해액의 피해발생 확률로서도 적용될 수 있으며, 이는 물리적 침수구역 설정의 어려움에 따른 홍수피해액 과다산정 문제 해결의 대안으로서도 의미가 있다.

• Journal of Korean Society of Disaster and Security
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• v.16 no.2
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• pp.49-56
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• 2023

Impact based forecast refers to providing information on potential socioeconomic risks according to weather conditions, away from the existing weather factor-oriented forecast. Developed weather countries are investing manpower and finances in technology development to provide and spread impact information, but awareness of impact based forecasts has not spread in Korea. In addition, the focus is on disasters such as floods and typhoons, which cause a lot of damage to impact based forecasts, and research on evaluating the impact of vehicle risks due to strong winds in the transportation sector with relatively low damage is insufficient. In Korea, there are not many cases of damage to vehicle conduction caused by strong winds, but there are cases of damage and the need for research is increasing. Road vulnerability is required to evaluate the risk of vehicles caused by strong winds, and the purpose of this study was to calculate the criteria for road vulnerability. The road vulnerability evaluation was evaluated by the altitude of the road, the number of lanes, the type of road. As a result of the analysis, it was found that the vulnerable area was well reproduced. It is judged that the results of this study can be used as a criterion for preparing an objective evaluation of potential risks for vehicle drivers.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.227-228
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• 2020

어린이 교통관련 안전사고 잠재적 위험요인 및 개선요인을 도출하기 위해 119구조구급자료 중 6세부터 11세까지의 어린이 사고 자료를 분석하였다. 4개 광역지자체의 2014년부터 5년간 자료에 대한 사고내용을 전수 조사하여 분석하였다. 주요 사고 장소 및 시간대 분석 결과 어린이 교통사고는 하교시간 오후 시간대에 도로에서의 집중적 관리가 필요한 것으로 나타났다. 어린이 교통사고 잠재적 위험요인을 분석한 결과 자동차와 자전거를 이외 탈 것에 관한 사고비율이 최근 높아지고 있음을 확인하였다. 연간 교통사고 전체 건수에 대한 추이는 큰 변화는 없었으나 개인 탈것의 사고 증가는 뚜렷하였다. 그 중 킥보드에 대한 사고가 가장 많았고, 퍼스널 모빌리티가 가장 뚜렷한 증가 분야였다. 현재 어린이에게 적용되고 있는 퍼스널 모빌리티 등에 대한 안전가이드라인이나 규정 등은 미비하나 향후 퍼스널 모빌리티의 보급은 크게 늘어날 것으로 전망된다. 향후 어린이 교통사고를 줄이기 위해서는 어린이가 개인 전동 이동수단 활용 시 안전에 대한 규정마련과 교육이 시급하다.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.1-6
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• 2020

In this study, we propose an association inference model based on data bias optimization for road hazard detection. This is a mining model based on association analysis to collect user's personal characteristics and surrounding environment data and provide traffic accident prevention services. This creates transaction data composed of various context variables. Based on the generated information, a meaningful correlation of variables in each transaction is derived through correlation pattern analysis. Considering the bias of classified categorical data, pruning is performed with optimized support and reliability values. Based on the extracted high-level association rules, a risk detection model for personal characteristics and driving road conditions is provided to users. This enables traffic services that overcome the data bias problem and prevent potential road accidents by considering the association between data. In the performance evaluation, the proposed method is excellently evaluated as 0.778 in accuracy and 0.743 in the Kappa coefficient.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1591-1601
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• 2013

In this study, It is conducted for novice drivers about driving behavior and psychological characteristics analysis to reduce traffic accident risk and provide the basic data of education program development. Therefore, this study classified by the category-specific characteristics and hazard prediction through survey of the novice driver and unpredictable behavior and psychological characteristics were studied. The novice and general characteristics and driving behavior with vehicle simulators, comparison and analysis of the novice driver traffic safety education basic research direction based on the statistical results. Prediction the results of this study, the Hazard of the driver, speeding, traffic violation, information providing omission, abrupt change, the number of accidents in all areas novice driver is high compared to the general driver. In addition, Novice driver showed a statistically significant level of Hazard compared to the general driver target novice drivers and the general ability to predict Hazard of violation, abrupt change, and a number of traffic accidents were omitted level of speeding and other information providing level drivers all showed similar results. Vehicle simulator. The experimental results showed that novice drivers compared to drivers poorly overall driving performance. It showed a notable difference in the number of collisions, especially novice drivers compared to drivers in complex road traffic conditions due to a lack of driving experience and learning ability are considered.

• International Journal of Highway Engineering
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• v.13 no.2
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• pp.49-56
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• 2011

Understanding various casual factors affecting the occurrence of freeway traffic crash is a backbone of deriving effective countermeasures. The first step toward understanding such factors is to identify crash risks on freeways. Unlike existing studies, this study focused on the unsafe vehicle maneuvering that can be detected by in-vehicle sensors. The recent advancement of sensor technologies allows us to gather and analyze detailed microscopic events leading to crash occurrence such as the abrupt change in acceleration. This study used an accelerometer to capture the unsafe events. A set of candidate variables representing unsafe events were derived from analyzing acceleration data obtained by the accelerometer. Then, the crash risk was modeled by the binary logistic regression technique. The probabilistic outcome of crash risk can be provided by the proposed model. An application of the methodology assessing crash risk was presented, and further research items for the successful field implementation were also discussed.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.38-42
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• 2011

토석류는 산간지역에서 발생할 수 있는 가장 위험한 자연재해 중 하나로 입자-유체 혼합물인 토석류가 중력에 의해 매우 빠른 속도로 이동하는 현상을 의미한다. 산간지역에서의 토석류 발생은 도로의 횡단 배수 구조물의 통수능을 저하시키게 되며 그 결과 도로의 유실 등 막대한 피해를 발생시킨다. 잠재적인 토석류 발생 지역에서의 피해 저감을 위해서는 진보된 설계 기준이 마련되어야 하며 이를 위해 토석류의 횡단 배수구조물 내에서 토석류의 동적 거동 특성을 파악하는 것이 선행되어야 할 것이다. 이번 연구에서는 수리 실험을 통하여 횡단 배수구조물 내에서 토석류의 퇴적 특성을 파악하고자 한다. 수리 실험 장비는 폭이 일정한 사각형 수로로 접근 수로와 하류부 수로로 구성되어 있으며 접근수로의 상단부에서 일정한 유량의 토석류를 연속적으로 유입시켜 경사가 급변하는 하류부 수로 내에서의 토석류 퇴적 특성을 파악하였다. 실험 결과로 토석류의 거동 특성은 토석류의 체적 농도, 입자의 특성, 그리고 접근수로와 하류부 수로의 바닥 경사에 종속됨을 정량적으로 알 수 있었다. 또한, 토석류의 체적 농도나 수로 바닥경사 등과는 상관없이 토석류의 퇴적은 하류부 수로의 종단부인 자유 낙하 지점에서부터 시작되었고 시간이 경과함에 따라 퇴적 지점이 접근 수로 쪽으로 이동하며 퇴적량이 크게 증가하는 현상을 보였다. 이 때, 하류부 수로 내 퇴적된 토석류는 약 $12{\sim}15^{\circ}$의 경사를 보였다.

• Journal of Korean Society of Transportation
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• v.35 no.2
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• pp.160-168
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• 2017

In the past 10 years, the accidents caused by drowsy driving have occupied about 23% of all traffic accidents in Korea expressway network and this rate is the highest one among all accident causes. Unlike other types of accidents caused by speeding and distraction to the road, the accidents by drowsy driving should be managed differently because the drowsiness might not be controlled by human's will. To reduce the number of accidents caused by drowsy driving, researchers previously focused on the spot based analysis. However, what we actually need is a segment (link) and occurring time based analysis, rather than spot based analysis. Hence, this research performs initial effort by adapting link concept in terms of drowsy driving on highway. First of all, we analyze the accidents caused by drowsy in historical accident data along with their road environments. Then, links associate with driving time are analyzed using digital tachograph (DTG) data. To carry this out, negative binomial regression models, which are broadly used in the field, including highway safety manual, are used to define the relationship between the number of traffic accidents on expressway and drivers' behavior derived from DTG. From the results, empirical Bayes (EB) and potential for safety improvement (PSI) analysis are performed for potential risk segments of accident caused by drowsy driving on the future. As the result of traffic accidents caused by drowsy driving, the number of the traffic accidents increases with increase in annual average daily traffic (AADT), the proportion of trucks, the amount of DTG data, the average proportion of speeding over 20km/h, the average proportion of deceleration, and the average proportion of sudden lane-changing.

• Journal of Korean Society of Transportation
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• v.30 no.2
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• pp.67-78
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• 2012

The current traffic regulations in Korea stipulate that traffic should keep to the right according to the Road Traffic Act; thus, customarily, the 'seat-on-the-left' system has been maintained. However, an increased number of 'seat-on-the-right' vehicles are being imported via a variety of routes from foreign countries, especially from Japan. According to the data from July 2004, 1,343 cargo vehicles and 593 passenger vehicles (for diplomats, etc.) were currently being driven on domestic road. As these 'seat-on-the-right' vehicles are not compatible with the domestic transportation system of driving on the right side of the road, there is a high risk of accidents. Experiments show that such system-driver mismatch causes longer operation time for directional signals, higher error frequency in yielding due to additional mental adjustments for 'seat-on-the-right' vehicle drivers. These are, therefore, influential factors which can lead to possible accidents. Furthermore, when the experiments test the visual range during overtaking maneuvers, the visual range of the drivers in the 'seat-on-the-left' vehicle was 2.95 meters as opposed to 1.7 meters for the drivers in the 'seat-on-the-right' vehicle. (In the experiment, the drivers were instructed to look at the paper cup 10 meters away from the back of drivers' seat.) The results demonstrate that it is necessary to have additional safety measures be implemented for the 'seat-on-the-right' vehicles.