• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.152-166
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• 2022

This study analyzed the causal relationship among operating characteristics of commercial freight vehicles, dangerous driving behaviors, and traffic accident risk. The study applied the existing accident cause and prevention theory to arrive at this relationship. Data related to working characteristics of driver, driving experience, driving ability, driving psychology, vehicle characteristics (size), dangerous driving behavior, and traffic accidents were collected from 303 commercial freight vehicle drivers. Working characteristics and dangerous driving behavior data are based on the driver's digital driving record. The traffic accident data is based on the insurance accident data reflecting actual traffic accidents. First, a structural equation model was built and verified using the model fitness index. Then, the developed model was used to analyze the causal relationship between multiple independent and dependent variables simultaneously. Four dangerous driving behaviors (sudden deceleration, sudden acceleration, sudden passing, and sudden stop) were found to be highly related to traffic accidents. The results further indicate that it is necessary to establish a safety management policy and intensive management for small-sized freight vehicles, drivers with insufficient driving ability, and drivers with dangerous driving behaviors. Such policy and management are expected to reduce traffic accidents effectively.

• Journal of Korean Society of Transportation
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• v.35 no.1
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• pp.11-24
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• 2017

Although many efforts to stop speeding or inappropriate speed, it failed to reduce the number of speeding-related crashes. Therefore, it is important to analyze the characteristics of speeding offenders and the cause of speeding at hot spots. In this study, we investigate the level of severity in speeding by the characteristics of speeding offenders using the Ordered Logistics Regression Models(OLRM). For the analysis, we use the speeding data collected by 39 traffic enforcement cameras in city of Cheongju and other related data including the speeding ticket history of drivers during the most recent 3 years, their demographic characteristics, their own vehicles, and road environment factors. The major results of this study are as follows. Firstly, commercial fleet drivers are more likely to repeat the conviction of high-range speeding with more than 30km/h over speed limits than other drivers. Secondly, mid-range speeding are observed as 21,462 frequency which is 76.7% of total speeding frequency and occurred mostly at suburban and rural area. It concludes that contributory factors affecting the severity of speeding at signalized intersection are drivers' speeding offence history, posted speed limits, time of day, gender of driver, and location of the intersection as show by the OLRM developed in this study(McFadden R-square : 0.296).

• Journal of the KSME
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• v.28 no.1
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• pp.28-36
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• 1988

차량 주행특성을 규명하기 위한 연구방법에 대한 일반적 고찰을 토대로 주요 개방회로시험과 관련 평가기준들이 소개되었다. 그러나, 차량의 주행상 안전도 연구를 위한 종합적인 척도는 이제까지 설명된 평가기준들로부터 아직 명확히 귀결지을 수 없음을 강조하여야 한다. 이유로 서는, 한편으로 응용되어진 연구방법들이 실제 교통사고 발생상황을 포괄하기에는 아직 불충분 하며, 또 한편으로는 주어진 한 시험방법에서 주행안전도 판정을 위해 제기된 특성치가 절대적인 값으로 확정지을 수 없기 때문이다. 따라서 전체 시스템 '운전자-차량-환경'에 있어서 주행특 성의 완전한 평가를 내리기 위해서는, 객관적으로 서술될 수 있는 차량의 주행특성-안정성 및 조절성과 운전자에 의한 주관적인 판별 또한 환경요소에 의한 영향들에 대하여 상호 연관관계가 복합적으로 해석. 규명되어져야만 할 것이다.

• Journal of Korean Society of Transportation
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• v.34 no.6
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• pp.560-569
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• 2016

Previous studies show that driver mental workload plays a significant role in the occurrence of traffic accidents. This study also analyzes driving workload under different road conditions especially with the brain wave data collected by a driving simulator. We use a logistic regression model to explain the relationship between driving workload and gamma brain waves. The results show that beta band of brain waves becomes broader with more curved sections while alpha band and gamma band become narrower. Since driving workload is negatively correlated with gamma band, it can be concluded that driving condition with less curved section is beneficial for reducing driving stress and increasing driving comfort.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.11a
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• pp.453-459
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• 2000

개개인의 생활 수준 향상으로 자동차가 개인 교통 수단이나 레저 생활용으로 더욱 많이 활용되면서 장시간 운전이 늘어감에 따라, 운전자의 신체적 피로는 운전 중의 사고의 원인이 되고 있으며, 장시간 운전시의 피로감의 원인이라고 할 수 있는 엔진과 노면으로부터 인체에 전달되는 진동에 대한 대비책으로, 시트 부분의 내진 및 감쇠 설계가 실제로 운전자가 느끼는 승차감 즉 안락성에 결정적인 역할을 한다고 볼 수 있다. 국내의 경우 자동차 시트 기술은 대부분 외국 기술에 의존하고 있는 실정이어서 전문적인 연구는 매우 미흡한 실정이다.(중략)

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.116-125
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• 1998

도로공사로 인해 차선의 일부가 폐쇄된 경우에 이용하는 차선에 따라서 운전자의 통행패턴은 달라진다. 공사구간이 없는 경우 운전자의 차선변경은 제한적이나마 각 차선의 밀도에 의해서 좌우되는 것으로 나타났다. 또한 차선폐쇄지점 전방에서는 차선변경할 확률은 폐쇄지점까지의 남은 거리에 따라서 음지수함수를 따르는 것으로 확인되었다. 또한 논문에서 공사구간에서의 차선변경행태와 교통량, 밀도, 속도를 산정하였으며, 공사로 인한 차선별 지체시간을 산정하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.87-90
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• 2006

생활의 일부라 할 수 있는 교통시스템은 도시화, 산업화가 진행됨에 따라 더욱 복잡해지고 있다. 이를 보완하기 위해 내비게이션, 텔레메틱스 와 같은 다양한 보조 수단이 개발되고 있다. 하지만 이러한 운전자 보조 시스템은 개별화된 특성을 반영하지 않으며, 가장 일반적인 경우에 치중되어 있다. 본 논문에서는 개별화되고 사용자 중심적인 운전자 보조 시스템을 제안하며, 어떠한 정보가 이에 활용될 수 있는지를 고찰해 보았다. 또한 이런 정보를 해결하기 위한 소프트 컴퓨팅 기법을 제안하고자 한다.

• Journal of Korean Society of Transportation
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• v.32 no.5
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• pp.554-566
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• 2014

An objective of VMS(Variable Message Signs) is to make transportation system effective specifically for driver's path selection. The traffic solutions including a VMS problem can be modeled through Game Theory, however, the majority of the studies can not model various driver's response according to VMS information in game theory. So, this paper tries to analyze a driver's response according to VMS traffic informations through evolutionary game theory. We apply a behavior characteristics of driver to evolutionary game theory, then finds drivers are only accepting in case of the biggest pay-off, and if a traffic flow finds a balance over time, ratio of accepting information is converged as an evolutionary stable state gradually. Consequently, the strategy of the other drivers such as traffic problems can not be predicted accurately. In case, drivers repeat between groups and reasonable judgment by the experience, we expect that VMS can provide strategic information through evolutionary game theory.

• Korean Journal of Culture and Social Issue
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• v.17 no.3
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• pp.321-341
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• 2011

This study examines how anonymity between drivers affects aggressive driving and why, in an anonymous situation, some drive aggressively and others do not. Two surveys were conducted. The first survey covered 200 participants and found that people are more likely to drive aggressively in an anonymous situation than in a face-to-face situation. The second survey covered 384 participants with a history of aggressive driving and found that these aggressive drivers could be classified into three groups using a two-step cluster analysis. Drivers who often exhibit aggressive driving in anonymous situations were found in the second questionnaire to have a high tendency towards driving anger and towards ambivalence over emotional expressiveness. The tendency towards self-defensive ambivalence factor, one of the factors in the ambivalence over emotional expressiveness questionnaire, was also found to be high. Individuals who tended to drive aggressively in an anonymous situation were found to be susceptible to driving anger, usually faced ambivalence over emotional expressiveness, and typically were indecisive. The results of this study suggest that rather than intensifying the enforcement of traffic regulations, a better remedy for those who drive recklessly would be to have them undertake some candid self-reflection.

• Korean Journal of Culture and Social Issue
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• v.17 no.3
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• pp.305-320
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• 2011

The objectives of the present research are twofold. First, this research aims to compare the effect of trait characteristics(sensation seeking, social resistance and type-A behavior) with that of driving specific characteristics(driving anger and type-A driving) on problematic driving behavior. Second, the role of life stress as a mediator in the relationships between general trait characteristics and traffic safety index was examined. 1158 licensed commercial vehicle drivers were surveyed and their accident-related records were obtained in this research. Results showed that driving specific characteristics were significant indicators of traffic safety and life stress mediated the relationships between general trait characteristics and traffic safety index. These findings implicate that understanding drivers' driving specific characteristics and their levels of life stress is important to reduce problematic driving behaviors and enhance traffic safety.