• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.593-599
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• 2010

우리나라 노년층의 교통사고 사망자와 보행 중 사망 비율은 증가하고 있으나 노년층을 대상으로 한 안전대책이나, 안전시설 및 보행환경 개선 등이 미비하다. 이에 본 연구에서는 과적인 노인보행자 교통안전대책을 마련할 수 있도록 기초자료를 제공하기 위하여 서울시와 경기도 지역의 5개 노인종합복지관을 이용하는 노년층을 대상으로 노년층 보행자의 통행실태 및 교통안전의식, 보행행태를 알아보기 위하여 설문을 실시하였다. 그 결과 노인의 50% 이상이 매일 외출하는 것으로 나타났다. 또한 횡단보도를 건널 때 신호를 지키지 않는 차량으로 인하여 사고의 위험을 느끼며, 보행자 신호시간 부족하다고 응답하였다. 따라서 노인 보행자의 교통사고 예방을 위해서는 과속이나 신호위반이 잦은 곳에 과속 및 신호위반 단속카메라를 설치하고 도로폭이 넓은 곳에서는 보행섬을 설치하고 횡단보도의 보행자 신호시간 연장의 확대추진 등이 필요한 것으로 나타났다.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.351-356
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• 2014

Recently, automobile black boxes have evolved to support functionality to transfer videos stored in them into mobile phones via wireless network, from which the videos can be utilized for various purposes. This paper presents a method for automation of traffic violation reports using the automobile black boxes. When a traffic violation is captured by a black box, the proposed method helps a user to transfer the video capturing it into a mobile phone through a simple UI operation. With the video, an HTTP request to report the violation is automatically generated from the mobile phone, and then is transferred to a cyber-report center. We present a prototype system that implements the proposed method, and discuss several issues necessary to apply the method to real-world applications.

• 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.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.261-262
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• 2016

교통사고의 발생요인에는 다양한 원인들이 있지만 본 연구에서는 공간적으로 접근하여 사고유형별 분포특성을 도출하기 위해 공간적 자기상관성 분석을 수행하였다. 논문에서는 2012년부터 2014년까지 울산광역시에서 발생된 교통사고를 대상으로 분석을 수행하였다. 그 결과 울산시 전체 교통사고 약 53%는 안전운전불이행이며 다음으로는 안전거리미확보, 신호위반 순으로 나타났다. 밀도분석 결과는 사고유형별로 분포가 차이가 있었으며 안전운전불이행의 경우 가장 큰 군집은 중심시가지인 달동과 삼산동 중심에 나타났으며 중앙선침범은 도시의 중심부 보다는 면지역에 넓게 퍼져서 발생되었으며 산업단지가 있는 동구지역에 군집이 크게 나타났다. 따라서 읍면동별 공간적 특성을 파악하기 위해 Moran's I분석과 LISA분석을 수행한 결과 안전운전불이행, 안전거리미확보, 신호위반, 교차로운행방해 모두 중심시가지인 신정동, 달동, 삼산동이 공간적 자기상관성이 높았으며 중앙선침범의 경우 밀도분석 결과와 마찬가지로 중심시가지 이외에 읍면 지역도 자기상관성이 더 높게 나타났다. 이를 통해 사고유형별 공간의존성 및 이질성을 파악하여 교통사고 다발지역을 도출하고 이를 토대로 지역특성에 맞는 저감 대책 마련에 활용되고자 한다.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.43-51
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• 2011

Since a variety of factors are associated with crash occurrence, the analysis of causes of crash is a hard task for traffic researchers and engineers. Among contributing factors leading to crash, the characteristics of driver is of keen interest. This study attempted to identify factors affecting the severity of pedestrian in the collision between pedestrian and vehicle. In particular, our analyses were focused on the novice driver. A binary logistic regression technique was adopted for the analyses. The results showed that driver's age, crash location, and the frequency of violations were dominant factors for the severity. Findings are expected to be useful information for deffective policy- and education-based countermeasures.

• 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.

• 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.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.126-142
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• 2023

The purpose of this study is to develop unmanned traffic enforcement equipment and standard specifications for the prevention of traffic accidents and violations of the two-wheeled vehicle laws. To this end, we conducted a review of the problems and new technologies of the currently operating unmanned traffic enforcement equipment on two-wheeled vehicles. And through a survey, the feasibility of introducing unmanned traffic enforcement equipment for two-wheeled vehicles and the current status of technology were investigated. In addition, the two-wheeled vehicle enforcement function was implemented through field tests of the development equipment, and the addition of enforcement targets and the number recognition rate were improved through performance improvement. Based on the results of field experiments and performance evaluation, performance standards for unmanned two-wheeled vehicle traffic enforcement equipment were prepared, and in the communication protocol, two-wheeled vehicle-related matters were newly composed in the vehicle classification code and violation items to develop standards.

• Journal of Korean Society of Transportation
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• v.34 no.2
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• pp.123-134
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• 2016

Traffic accident at intersections takes 44.3% of total number of accidents on entire road network of Korea in 2014. Although several studies addressed contributory factors of accidents at signalized intersection, very few is known about the factors at rural unsignalized intersections. The objective of this study is therefore to investigate specific characteristics of crashes at rural unsignalized intersection and to identify contributory factors in causing crashes by statistical approach using the Ordered Logistic Regression Model. The results show that main type of car crashes at unsignalized intersection during the daytime is T-bone crashes and the number of crashes at 4-legged intersections are 1.53 times more than that at 3-legged intersections. Most collisions are caused by negligence of drivers and violation of Right of Way. Based upon the analysis, accident severity is modeled as classified by two types such as 3-legged intersection and 4-legged intersection. It shows that contributory factors in causing crashes at rural unsignalized intersections are poor sight distance problem, average daily traffic, time of day(night, or day), angle of intersection, ratio of heavy vehicles, number of traffic violations at intersection, and number of lanes on minor street.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.168-181
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• 2023

This study analyzed the effects of traffic enforcement on accident reduction. The results revealed a significant reduction in both overall accidents (28.53%) and fatal accidents (39.44%). Notably, enforcement equipment targeting speed limits of 30 km/h and 50 km/h demonstrated similar accident reduction rates of 42.23% and 25.85%, respectively. However, variations were observed based on accident types and types of traffic violations. Therefore, it is evident that enforcement equipment yields distinct accident reduction effects depending on speed limits and types of traffic accidents. This finding underscores the potential for making informed policy decisions to enhance traffic safety measures.