• Journal of Korean Society of Transportation
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• v.17 no.1
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• pp.187-196
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• 1999

The increasing interest in the use of Automated Speed Enforcement (ASE) systems in Korea enables to enforce speed violation by National Police Agency. We have analyzed the mechanism of ASE systems on traffic safety throughout Korea. 1 The data collected on a 2km road-section of each 32 ASE stations during one rear period indicate significant safety improvement. The results were (a) a decrease in the total number of accidents of 28%, (b) a decrease in the number of fatalities of 60%. 2. The study also that ASE systems are effective to reduce average speed, speed variance, and short headway. 3. Based on the operational data collected at 15 locations, an aggregate safety prediction model is proposed as a multiple regressions form. The primary operational variables that appear to affect the frequencies of accident are : average speed, speed variance, and the number of vehicles exceeding 30km/h of posted speed limit.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.374-388
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• 2016

In Jeju-Do, there is the 1100 Road, 516 Road, and Bijarimro, which are typical mountain sight-seeing roads in Jeju. These roads are local roads that have been the location for many traffic accidents. This study focused on these roads, categorized the type of traffic accident and analyzed the accident characteristics. The major accident factors were analyzed through trip AHP analysis, Comparative analysis of the velocity distribution and the factors affecting traffic accidents were analyzed. Tourists took many trips on these roads. The mixing rate of the rental cars was 36.70%~71.60% in 1100 road and Bijarimro. Currently, these local roads are regulated by a speed limit of 60km/h. However, it might be necessary to reduce the speed limit to 40km/h considering the geometric line form of the road and the climate in these areas. The speed limit of more than 40km/h is found 87.0% on 516 Roads, 88.57% on 1100 roads, and 93.1% on Bjarimro, In these roads, the speed ratio is higher as described above. Therefore, these roads have been found to have a higher risk of traffic accidents by overspeeding driving. The overspeed driving ratio of these roads was 87.0%~93.1%, The overspeed driving enforcement method at one spot has only the effect of reducing the speed at that enforcement place; the effect cannot be expected for the other places or sections. It is necessary to introduce a section overspeed driving enforcement system utilizing the average velocity in these areas to prevent traffic accidents.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.55-63
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• 2009

Since the introduction of 32 Automated Speed Enforcement System in Korea 1997, their application was expanded to the entire nation and, as of January 2008, there are 3,212 Automated Speed Enforcement System that are in operation. The existing method of evaluating the effects of the Automated Speed Enforcement System application is simple comparison of a year before and a year after the application. If the number of traffic accidents dramatically increased(or decreased) the year before the application compared to the numbers from years before that, then if the number decreased(or increased) after the Automated Speed Enforcement System application, it cannot be concluded that the change was caused by the Automated Speed Enforcement System application alone. Based on the 4-Step Before-After study, the method of evaluating the effect of an Automated Speed Enforcement System application was analyzed anew. At 205 locations where Automated Speed Enforcement System was applied in 2006, the existing evaluation stated a reduction of 19% in the number of traffic accidents, but when reanalyzed for the method suggested in this paper, the effect of the Automated Speed Enforcement System was found to be $27.4{\pm}3$, along with an error range of ${\pm}12.89%$ due to miscellaneous improvement.

• 한국ITS학회:학술대회논문집
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• 2005.11a
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• pp.221-226
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• 2005

• Fire Science and Engineering
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• v.25 no.5
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• pp.119-127
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• 2011

Because of most notably the increase in vehicular traffic in Korea, as measured by highway transport usage, relief is being sought by expanding the construction of highways after 1970s'. These highways have opened up over 70 % of the mountainous areas in Korea's country side which includes the construction of tunnels. Currently there are 607 tunnels installed that are being maintained and by 2015, under the next medium-term plan, Korea will build an additional 440 tunnels. In addition, the use of 1,000m double-pole tunnels is expected to increase significantly in 256 locations. There is no doubt that these tunnels will relieve traffic congestion and aid improved communications, but halfclosed underground highway tunnels in particular are required to reduce tunnel fires caused by poor vehicle maintenance, and other factors such as speeding motorists that increase the number of vehicular accidents. Double-pole tunnels in 1,000m length over require vehicle drivers to be more cautious in terms of the continuous speed limit, judged by how devastating most of car-crash fires within these tunnels can be. In order to prevent these disasters, a full-length tunnel speed enforcement system should be considered mandatorily in legal clauses.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.3
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• pp.11-18
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• 2013

Since 1996, Korean National Police Agency has been promoting a project for installation of Automated Speed Enforcement (ASE) system aiming at reduction of accidents. The number has increased to 5,348 stations throughout country as of December 2012. Recently, the Section Speed Enforcement Systems have been installed at many sites to produce a general effect well beyond the localised effect at overt fixed camera sites. In this study aims, we have analyzed the effects of the Section Speed Enforcement System at the Misiryeong tunnel section. We have found that there were a statistically significant 21.4%~31.% reduction of the average speed and 45.9% reduction in a number of traffic accidents per month. Accordingly, the study indicates that the Section Speed Enforcement Systems at Misiryeong tunnel section has effective to produce road safety.

• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.119-129
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• 2014

This study aims to evaluate the accident reduction effects of 'Section Speed Enforcement System' (SSES) operation in freeways. In pursuing the above, this study collects the accident data for 5 years (2 years before operation and 3 years after operation) at all 9 sections where SSESs are operated, and evaluates annually the effects before and after operation using the comparison group method (C.G. Method). The measures of effectiveness are total accidents (TAs), fatal and serious accidents (FSAs), total injuries (TIs) and fatal and serious injuries (FSIs). The main results are as follows. First, TAs and TIs are reduced to 41.7 and 17.1%, respectively. Second, FSAs and FSIs are reduced to 41.7 and 32.2%, respectively. Therefore, SSES has more effectiveness at fatal and serious accident. Third, the accident reduction effect has been increasing, and particularly the effect of 'after three years' is evaluated to be notable.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.319-320
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• 2022

교통량이 증가됨에 따라 높아지는 사고율을 줄이기 위해 효율적이며, 다양한 교통 위반 단속이 요구되고 있다. 기존의 유무인 교통법규 위반 단속 시스템의 도입으로 단속 구역 확대를 시도하고 있으나 높은 비용의 문제로 한정된 지역에서만 실시되고 있다. 해당 문제 해결을 위해 본 논문에서는 딥러닝 실시간 객체인식기술을 적용하여 차량의 교통법규 위반을 인식하며 이에 대한 정보를 제공하는 시스템을 개발하였다. 실시간 객체인식 알고리즘인 YOLOv4와 실시간 객체추적기술인 deepSORT 알고리즘을 데스크톱 PC에 적용하여 구현하였다. 개발한 시스템은 과속, 버스 전용 차로, 주정차, 급속 다차선 변경에 대한 인식 결과를 제공한다. 기존 설치된 CCTV 영상을 대상으로 시스템 적용이 가능하여 저비용으로 넓은 지역에 대한 교통법규 위반 상황 인식을 기대할 수 있다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.5
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• pp.7-14
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• 2012

We frequently confront with cars interfering into our lane on the ramp. We suffered from serious traffic congestion due to the interfering cars. But the police enforcement has not done actively because it's hard to enforce. In this study, we have evaluated the systems to enforce cutting-in cars through the field test. Generally, the image processing method depends on the weather. To overcome this limitation we proposed a new algorithm combined with section detection method. In the filed test we concluded the results as follows. Whereas the violation detection rate of the general image processing was 58.2%, a new algorithm proposed by this study was 74.5%. And, an error rate enforcing vehicles that do not violate was 0.0%. Also, we can use the existing facilities, such as street light because of compact and lightweight systems which are integrated camera with controller. Therefore, we concluded that it is possible to enforce the interfering Cars using vehicle enforcement systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.830-833
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• 2016

자동차 번호판 인식은 대중적인 감시 기술 중의 한 종류로서, 주어진 비디오나 영상 내 광학문자 인식을 수반한다. 고속도로나 국도 상에 과속 단속 시스템, 재형 건물이나 유통센서 및 주차장 등에서 주차 정산 시스템, 고속도로 톨 게이트에서 hi-pass 에러 및 불법 도주 차량 잔속 시스템, 전국 주요 도로 불법 주 정차 단속 시스템, 공공기관, 기업 출퇴근 시간 확인 및 외부 차양 안내 시스템 등의 지능형 교통 시스템(ITS)이나 국도 상에 범위 차량 검거 시스템, 사건 발생 시 주요 도로상에 설치된 CCTV를 통해 용의 차량 이동 추적 시스템, 이동식 범죄 차량 조회, 버스에 탑재된 버스 전용차선 위반 단속들의 지능형 방범 시스템 등에 활용하고 있다. 번호판 인식은 자동차 번호판 국부화, 번호판의 크기, 차원, 명암대비, 밝기를 조정하는 정규화, 개별문자를 얻어내는 문자 분할, 문자를 인식하는 광학 문자 인식, 번호판의 형태, 크기, 위치 들이 연도별, 지역별로 차이가 있는 번호판들의 데이터베이스를 비교하여 구문 분석을 하는 절차를 거친다. 본 논문에서는 EmguCV를 이용하여 구현한 번호판 감지를 수행하여 위치를 찾아내고, 오픈 소스 광학 문자 인식 엔진으로 잘 알려져 있는 테서렉트 OCR을 이용하여 번호판의 문자를 인식하는 자동 인식 프로그램을 구현하고 기술하였다.