• 제목/요약/키워드: 철도 건널목 사고

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철도건널목의 사고예측모형 개발에 관한 연구 (Developing An Accident Prediction Model for Railroad-Highway Grade Crossings)

  • 강승규
    • 대한교통학회지
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    • 제13권2호
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    • pp.43-58
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    • 1995
  • This paper discusses some of the results of investigation of railroad-highway grade crossing accidents and accident-related inventory information that was collected from the Pusan District Office of the Korean National Railroads. Established statistical techniques were applied to tabulated data to obtain an accident prediction equation that estimates the expected probability of accidents at each crossing under various grade crossing situations. It was found that the most significant factor that influences the railroad crossing accidents was flagger. The other factors were train and traffic volumes, number of tracks. crossing angle, maximum timetable train speed, algebraic grade difference, and lighting facility. No significant effects was identified with railroad crossing gates. The results of the analysis and the uses of the prediction equation for the development of warrants for safety improvements are also discussed.

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철도건널목 사고방지를 위한 지능화 방안 연구 (Accident prevention and damage reduction technology development through intelligence of Highway-railroad grade crossing)

  • 조봉관;류상환;황현철;조흥식;이호용
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.175-177
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    • 2008
  • The level crossing collision accident which comprises more than 90 percent of all level crossing accidents is one of the most serious safety problems. There is a critical need for providing safe strategy and is focusing on the level crossing information rather than measures at a grade crossing. This study is intended to develop technology for accident prevention and damage reduction based on accident cases analysis result and improvement direction to complement shortcomings of safety equipment of conventional level crossing and to establish safety of travelers(train, motor vehicle, person).

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철도 건널목 사고의 발생빈도 특성분석 연구 (Analysis of the Characteristic of Railroad(level-crossing) Accident Frequency)

  • 박준태;강팔문;박성호
    • 한국안전학회지
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    • 제29권2호
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    • pp.76-81
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    • 2014
  • Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.

상황인식 기반의 스쿨존 안전 관리 시스템 설계 및 구현 (The Design and Implementation of School-Zone Safety Management System Based onContext-Aware)

  • 이진관;이창복;박상준;이종찬;박기홍
    • 융합보안논문지
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    • 제9권1호
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    • pp.11-17
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    • 2009
  • 본 연구에서는 영상센서를 이용한 상황인식 기반의 컴퓨팅 기술이 혼합된, 스쿨존 안전 관리 시스템을 제안한다. 영상센서를 통한 객체 추출과 상황 인식 기술의 조합을 통하여, 초등학교 주위에서 발생할 수 있는 여러 상황 중 초등학생의 유괴나 사고 등을 인식할 경우 모니터링 장치로 전송하여 응급상황을 관리할 수 있다. 또한 제안된 시스템은 인간의 시각을 필요로 하는 철도 건널목이나, 교통량 통계조사, 공장 자동화 시스템 등 다양한 응용분야에 활용할 수 있는 최적의 선택이라 할 수 있다.

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철도건널목 사고 위험도-발생빈도 평가모델 개발 (Development of Risk-Appearance Frequency Evaluation Model for Railway Level-Crossing Accidents)

  • 김민수;왕종배;박찬우;최돈범
    • 한국안전학회지
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    • 제24권3호
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    • pp.96-101
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    • 2009
  • In this study, a risk-appearance frequency evaluation model for railway level-crossing accidents is developed with the frequency estimation based on the accident history. It follows the worldwide common safety management approach and reflects the operation conditions and accident properties of the domestic railway system. The risk appearance frequency evaluation process contains a development of accident scenarios by defining the system configurations and functions, and a frequency estimation of hazardous events based on the accident history. The developed model is verified with the accident history during 5 years('03-'07) for 3 hazardous events: 'Being trapped in level crossing(Hl)', 'Crossing during warning signal(H2)' and 'Breaking through/detouring the barrier(H3)'. This risk appearance frequency evaluation model will be combined with a consequence evaluation model so as to offer full risk assessment for the railway accident. The accident risk assessment will contribute to improving the safety management of the railway system.

철도건널목 사고방지를 위한 방안 연구 (Accident Prevention Technology at a Level Crossing)

  • 조봉관;류상환;황현철;정재일
    • 전기학회논문지
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    • 제57권12호
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    • pp.2220-2227
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    • 2008
  • The safety equipments of railway level crossing which are installed at intersections between roads and railway lines prevent level crossing accidents by informing all of the vehicles and pedestrians of approaching trains. The intelligent safety system for level crossing which employs information and communication technology has been developed in USA and Japan, etc. But, in Korea, the relevant research has not been performed. In this paper, we analyze the cause of railway level crossing accidents and the inherent problem of the existing safety equipments. Based on analyzed results, we design the intelligent safety system which prevent collision between a train and a vehicle. This system displays train approaching information in real-time at roadside warning devices, informs approaching train of the detected obstacle in crossing areas, and is interconnected with traffic signal to empty the crossing area before train comes. Especially, we present the video based obstacle detection algorithm and verify its performance with prototype H/W since the abrupt obstacles in crossing areas are the main cause of level crossing accidents. We identify that the presented scheme detects both pedestrian and vehicle with good performance.