• Journal of Korean Society of Transportation
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• v.19 no.1
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• pp.139-148
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• 2001

본 연구는 교통사고 야기 자들의 운전정밀적성검사기록과 해당 교통사고기록을 비교하여 특정 운전적성상의 결손이 교통사고와 특정유형의 교통사고에 미치는 영향을 계량적으로 분석하는 것을 목적으로 하였다. 본 연구를 위하여 우리나라에서 가장 빈발하는 인적요인에 의한 교통사고 유형 중에서 교통상충이 빈발하는 지점에서 발생하는 차-대-차 사고를 조사분석대상으로 삼았다. 이와 같이 분석대상사고를 선정한 이유는 교통상충이 교통사고로 발전하는 과정에서 사고 제1당사자의 운전적성의 역할을 파악하고자하는 목적에서이다. 따라서 본 연구의 대상이 되는 교통사고 유형을 1. 교차로 진입부에서의 추돌사고, 2. 교차로내 충추돌사고, 3. 단일로상의 추돌사고로 선정하였다. 판별력이 의문시되는 4개 항목을 제외한 조사분석결과에서 하나의 항목을 제외하고 사고 야기자와 일반인의 운전적성상에 통계적으로 분명한 차이가 있으며 각 항목의 결손자 집단에서의 사고자 비율이 일반운전자 집단에 비해 교통사고를 경험한 확률이 2배 내지 4배 가량 높았다. 또한 특정 유형 사고 야기자와 사고 야기자 전체, 일반운전자 집단간 비교에서도 항목별 결손율이 분명한 다른 형태를 갖고 있다는 사실을 확인했으며, 특정유형의 결손(조합)자 집합에서 특정 교통사고 유형을 야기시켰을 확률이 일반인 집단에 비해 많게는 13배 적게는 3, 4배 정도 높다고 추정되었다.

• Korean Journal of Culture and Social Issue
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• v.20 no.2
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• pp.107-131
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• 2014

This driving simulation study examined relative differences in driving anger as the functions of drivers' gender and driving experiences, and actor-observer perspectives when they were exposed in two anger-provoking driving scenarios(cutting-in and sudden stop). The results showed the followings. First, neither drivers' gender nor driving experience, when they were considered independently of the driving situation types and actor-observer perspectives, yielded significant difference in driving anger. Second, actor-observer effect on driving anger was observed only in the cutting-in condition where other driver's intension was emphasized. Third, the female drivers of low driving experience tended to show the strongest tendency of actor-observer bias in the cutting-in condition. These results suggested that the levels of driving anger as the functions of drivers' gender and driving experience can be differed by types of driving situation as well as perspectives of drivers' interpreting the situations.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.3
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• pp.15-28
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• 2008

According to the accident statistics published by the National Police Agency in 2006, it can be recognized that drivers' characteristics and driving behaviors are the most causational factors on the traffic accidents. At present, although many recording tools such as digital speedometer or black box are distributed in the market to meet social requests of decreasing traffic accidents and increasing safe driving behaviors, it is also true that it still lacks in obvious categories for dangerous driving types and then, the efficiency of the categories to be studied has been low. In this study, dangerous driving types are redefined. They are grouped into 7 classifications in the first level, and the seven classifications are regrouped into 16 in more detail. To verify the redefined dangerous driving types, a Data-logger is developed to receive and analyze the data that occur from the driving behaviors of the test vehicle. The developed Data-logger can be used to construct a real time warning system and safe driving management system with dangerous driving patterns based on acceleration, deceleration, Yaw rate, image data, etc.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.87-97
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• 2018

Bus, a major transportation mode, doesn't have a systematical evaluation system for dangerous driving behavior yet. This paper analyzes the characteristics and pattern of bus driving behavior using Digital Tacho Graph(DTG) data on express bus. 8 types of dangerous driving behavior were considered according to timeslot, the day of week and weather condition. As results, rapid acceleration, rapid left right turn and rapid deceleratio accounted for more than 97% and relatively high percentages were shown in dawn, on Friday and on the clear day, respectively. From the statistical analysis, correlation between the dangerous driving types and difference according the timeslot were found, and 3 groups considering the level of the dangerous driving were suggested. This study contributes to setting an efficient and reliable eduction system for using driving simulators.

• International Journal of Highway Engineering
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• v.14 no.1
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• pp.103-109
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• 2012

Digital speedometer which is supposed to provide the basic data for analyzing human factors of drivers has a limitation for human behavior studies of drivers, because it records limited driving information including GPS velocities. Besides, Black Box, which is currently being actively commercialized in the market, records mostly vehicles' risky patterns rather than drivers' behaviors. As a result, it also shows a limit to analyze dangerous driving patterns. This study performed a risky driving study for human factor analysis. This study conducted before and after comparisons for real time warning study using a risky driving judgment device. The analysis was conducted based on Longitudinal acceleration, Lateral acceleration, and Yaw rate of vehicles.

• Journal of Korean Society of Transportation
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• v.30 no.5
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• pp.3-10
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• 2012

This study dealt with traffic accidents occurring within roundabouts. The objective was to develop roundabout accident models for different driving types by using simultaneous equations. In pursuing the above, this study used a statistical program SPSS 17.0 to accommodate data from 148 accidents occurred within 39 roundabouts of Korea. In addition, the 2SLS(2 stage least square) estimation method was adopted to calibrate the models. The main results are as follows. First, both the number of accidents and the EPDO were evaluated to have bilateral relationships. Second, all 6 different simultaneous equation models according to driving types were found to be statistically significant. Third, the developed models were compared to each other with respect to either common or specific variables. Finally, variables such as ADT, conflicting rate, heavy vehicle ratio, circulatory roadway width, number of circulatory roadway lane, approach lane width, average approach lanes, parking places, and bus stops were selected as independent variables for the models.

• Science of Emotion and Sensibility
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• v.6 no.3
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• pp.1-11
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• 2003

The purpose of the present driving simulation study was to examine the effect of cellular-phone use on driving performance when required driving speeds were systematically varied(60, 80, 100, or 120km/h) while either using cellular-phones(experimental condition; Hands-Free or Hands-Held) or not(control condition). Driving performance was measured both by longitudinal vehicle control(i.e., variabilities in driving speed and headway) and lateral vehicle control(variabilities in lane position). The results can be summarized as followings: (1) The significant difference in driving speed variation between the two cellular-phone usage conditions was found only at relatively higher driving speed conditions(i.e., over 80km/h). (2) Only in the experimental condition where cellular-phone was required to be used while driving, the magnitudes of variation in driving speed, headway and lane position were gradually increased as the required driving speeds were increased(this tendency was not found in control condition). And. (3) the dependent measures of this study appeared to suggest that cellular-phone usage itself (rather than the types of cellular-phone) had significant impact on driving performance. Finally, implication and issues related to this study were discussed.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.143-153
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• 2002

본 연구는 교통사고의 발생원인에 대한 인식유형과 감소대책에 대한 인지 유형별 영향요인의 정도를 분석하기 위하여 수량화이론 II류와 CHAID 분석법을 이용하여 분류모델과 판별모델을 구축하였다. 수량화이론 II류에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 판별모델은 전체 적중률이 78.4%로 매우 높게 나타났다. 편상관계수는 설명변수의 항목 중 학력, 성별, 운전경력 년 수, 소유 차종의 순으로 영향을 미치고 외적 변수인 교통사고 발생원인에 대한 유형에서는 기여 정도가 교통단속 부재 > 교통체계 미비 > 승용차 과다 사용 >잘못된 의식 때문의 순으로 나타났다. 교통사고 감소 대책에 대한 인지유형별 영향요인 판별모델은 전체 적중률이 59.9%로 높게 나타났으며, 편상관 계수는 학력, 성별, 운전경력 연수, 연령의 순으로 영향을 미치고 있고, 외적 변수인 교통사고 감소 대책에 대한 유형에서는 기여 정도가 교통단속 강화 > 대중교통수단 이용 유도 > 교통체계 개선 > 의식 개혁의 순으로 나타났다. 또한 CHAID 분석법에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 분류모델에 있어서는 예측변수로 학력, 연령, 성별, 통행수단의 네 가지 변수가, 교통사고의 감소 대책에 대한인지 유형별 영향요인 분류모델에 있어서는 학력, 운전경력 연수, 성별 그리고 통행수단의 네 가지 변수가 카이제곱 통계량 이 5%의 유의수준에서 유의한 것으로 판단되었다. 교통사고 발생원인 인식과 감소 대책의 인지 유형에 대한 빈도분석과 교차분석은 의식과 관련한 유형이 가장 높게 나타났으나 판별.분류모델에서는 교통단속과 관련한 유형이 기여 정도가 높고 의식 관련 유형이 상대적으로 낮게 나타나는 등 반대양상을 보이고 있어 심리적으로 내재되어 있고 표면에 잘 드러나지 않았던 의식 수준의 낮음이 분류모델을 통해서 명확하게 드러났다.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.17-28
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• 2009

To analyze the risk according to accident types by novice and experienced drivers, it is used the accidents data which occurred for 2 years(2005~2006) in Korea. It is defined that novice driver is a people who is not passed 1 year after getting a driving licence and experienced driver is a people who is passed 1 year in this study. It is used a risk model to compare and analyze about the risk between two groups. The risk model is developed to apply together two variables which is accidents frequency and severity. Then it is used a conceptual weight to find that proper rate between accident frequency and fatal accident frequency. It is found a weight($\omega=0.6$) to suitable value to apply a risk model. The results showed that collision with obstacles, angle collision($90^{\circ}$) types to novice driver group have bigger risk than experienced driver group.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.332-333
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• 2011

국내의 변전소에서 가장 많은 비중을 차지하는 변전소가 154kV변전소이다. 154kV변전소는 전체가 통일된 표준복구절차서를 가지고 고장이 발생하였을 경우 복구를 하게 된다. 현재 154kV 변전소에서는 Relay에서 고장을 감지하여 차단기가 전원을 차단한 후 운전원이 판단해 복구를 하여 정상 운전 상태나 부하 전환 등의 방법으로 전원을 공급도록 소개를 하고 있다. 현재 한국전력에서 만든 SOP(Standard Operation Procedure)는 15가지 기본적인 유형에 대해서 복구절차를 소개하고 있다. 하지만 현복구절차서에서는 유형의 부족이나 각 변전소의 상황 등을 모두 표현을 하지 못한다. 본 논문에서는 중요하고 필요한 유형과 변전소의 운전상황에 대한 표현, 앞으로의 개선방안 등에 대해서 제시하고자 한다.