• Journal of Korean Society of Transportation
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• v.25 no.2 s.95
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• pp.39-50
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• 2007

This study investigated how drivers' cognitive characteristics, such as perception-motor skills and safety-seeking motivation; personal characteristics, such as sensation-seeking disposition coping with physical and social dangers; their self-perceived driving ability; and their normal driving behaviors influence the number of driving violations. 352 drivers participated in the study. MANOVA was performed in order to test the differences in their driving behaviors according to their level of sensation-seeking disposition and driving ability, and Structural Equation Modeling was used to examine the causal relationships among their demographic characteristics, sensation-seeking dispositions, driving ability, driving behaviors and the number of violations. The results indicated that drivers who had higher perception-motor skills seemed to be careful with pedestrians. From the results, drivers who had somewhat higher safety-seeking motivation tended to violate fewer traffic regulations intentionally or accidentally and showed more positive driving behaviors. Furthermore, drivers who had higher perception-motor skills, higher sensation-seeking disposition, and lower safety-seeking motivation had a tendency to violate intentionally more traffic regulations. The older drivers showed driving behaviors that were careful of pedestrians. The drivers who had higher sensation-seeking disposition and longer driving careers violated more traffic regulations, both intentionally and accidentally. Results from LISREL indicated that the predictive variables directly or indirectly influenced on drivers' violation numbers ($x^2$=341.62(p=.00), GFI=.94. RMR=.10).

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.265-266
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• 2016

본 연구에서는 수집된 자료에서 화물차 교통사고를 분류하고 계절과 기상상태, 도로유형, 법규위반, 사고유형 측면에서 각각의 변수들이 사고 심각도에 미치는 영향을 파악함으로써 유의하게 화물차 교통사고 심각도를 높이는 요인을 분석하고자 하였다. 화물차 사고는 가을의 경우 사고 심각도의 오즈비가 1.23배로 증가하고, 안개가 꼈을 경우 사고 심각도는 16.49배 증가하는 것으로 나타났다. 법규위반, 도로형태, 사고유형 등 여러 요인에 의한 사고 위험도가 증가했지만 특히 도로 외 이탈로 인한 추락사고에서 사고 위험도가 크게 나타났으며 전도전복으로 인한 사고 위험도도 큰 것으로 나타났다.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.113-123
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• 2006

This article evaluates the effects of eight traffic safety policies such as traffic accident reduction campaign, the seat belt law, three strike out driving while intoxicated, rewarding for reporting traffic offenders on the number of accidents and fatalities. Intervention analysis of time series is used to compare the monthly accident and fatalities with the before and after reinforcement. The results indicate that no significant impact of the traffic enforcement measures on reducing the number of accidents and fatalities.

• LP가스
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• v.23 no.2
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• pp.36-39
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• 2011

과태료 부과의 합리성을 높이기 위하여 법령 위반횟수에 따라 과태료 부과금액을 차등화하고, 위반행위의 정도, 동기 및 그 결과 등을 고려하여 과태료 부과금액을 늘리거나 줄일 수 있는 사유를 구체적으로 정하는 한편, "질서위반행위규제법" (법률 제8725호, 2007. 12. 21, 공포, 2008. 6. 22, 시행) 및 같은 법 시행령(대통령령 제20817호, 2008. 6. 13. 공포, 6. 22, 시행)의 시행에 따라 불필요해진 과태료의 징수절차에 관한 규정을 삭제하는 등 현행 제도의 운영상 나타난 일부 미비점을 개선 보완하려는 것임.

• The Safety technology
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• no.71
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• pp.54-55
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• 2003

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.499-500
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• 2022

차량용 블랙박스의 대중화와 '스마트 국민 제보' 애플리케이션 도입에 따른 영향으로 교통법규 위반 공익신고 건수가 급증하면서 대응해야 할 담당 경찰 인력이 부족한 상황이다. 이러한 인력 부족 문제를 해결하기 위해서 인공지능(AI) 알고리즘을 활용하여 신고된 영상의 위법 여부를 자동으로 분석할 필요가 있다. 본 논문에서는 공익신고의 대부분을 차지하고 있는 진로변경 위반 영상 분석을 위한 객체 인식 방법에 대한 연구 내용을 기술한다. 이 연구에서는 딥러닝 알고리즘과 컴퓨터 비전 알고리즘을 통해 진로변경 위반 분석에 필요한 차량과 실선 객체를 인식하여 진로변경 위반 영상 분석에 활용할 수 있도록 한다.

• Venture DIGEST
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• s.137
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• pp.37-37
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• 2009

사업을 영위하다보면 종업원이 행한 행정법규 위반행위에 대하여 그 영업주에 대하여도 형벌을 부과하는 경우를 본 적이 있을 것이다. 이처럼 종업원의 비위행위로 영업주가 예상치 못한 처벌을 받는 경우가 흔하게 있었는데, 최근 헌법재판소에서 양벌규정의 위헌상 여부에 대한 결정을 내려 사회적 이목이 집중되고 있다.

• Journal of Korean Society of Transportation
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• v.10 no.3
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• pp.59-74
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• 1992

The change of industrial structure, the expansion of economic scale, the elevation of national life level and rapid motorization bring about social problems that are traffic accident, traffic congestion, etc. Especially, big traffic accidents bring about the great number of dead and wounded person with damage of property. But there are no study results available mainly focused on the big traffic accident analysis. Accordingly, this study is essentially for the factor analysis of big accident types including laws violation and the assaulting driver's death using Quantification ll method.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.6D
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• pp.553-560
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• 2010

This study examined the factors influencing the number of enforcement cases on traffic signal violation. The study collected enforcement data on traffic signal violation by multi-functional unmanned cameras across the Daegu metropolitan area, and analyzed the data to determine correlations among various factors including physical dimensions and engineering characteristics of the roadway as to how they would influence the number of violations. The resulting analysis provided a general model that assesses applicability for multi-functional unmanned cameras, and further shed helpful insights on efficient utilization of such traffic signal enforcement equipments in terms of installation thresholds and location. By identifying violation-prone features and characteristics and subsequent enforcement considerations, this research also supports safety efforts in reducing the number of traffic accidents as well.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.1
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• pp.14-26
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• 2019

For bus drivers' safe driving, a policy that analyzes the causes of the drivers' traffic accidents and then assists their safe driving is required. Therefore, the Ministry of Land, Infrastructure and Transport set up its plan to gradually expand the equipping of commercial vehicles with FCWS (Forward Collision Warning System) and LDWS(Lane Departure Warning System), from the driver-supporting ADAS(Advanced Driver Assistance Systems). However, there is not much basic research on the analysis of bus drivers' traffic accidents in Korea. As such, the time is appropriate to research what is the most necessary ADAS for bus drivers going forward to prevent bus accidents. The purpose of this research is to analyze how serious the accidents were in the different bus routes and whether the accidents were repetitive, and to give recommendations on how to support ADAS for buses, as an improvement. A model of ordered logit was used to analyze how serious the accidents were and as a result, vehicle to pedestrian accidents which directly affected individuals were statistically significant in all of the models, and violations of regulations, such as speeding, traffic signal violation and violation of safeguards for passengers, were indicated in common in several models. Therefore, the pedestrian-sensor system and automatic emergency control device for pedestrian should be installed to reduce bus accidents directly affecting persons in the future, and education for drivers and ADAS are to be offered to reduce the violations of regulations.