• Proceedings of the KIEE Conference
• /
• 2005.07b
• /
• pp.1579-1582
• /
• 2005

철도 운전사고의 대부분을 차지하는 철도건널목에 대한 기존의 사고예측식은 국외의 경우 Peabody Dimmick Formula, New Hampshire Index, National Cooperative Highway Research Program(NCHRP) report 50, U.S. Department of Transportation(DOT) 사고예측식 등을 이용하고 있었으며, 국내의 경우, U.S. DOT 사고예측식의 입력변수를 다변량 분석법을 이용하여 국내에 맞게 조정한 사고예측식을 이용하고 있다. 그러나 위에서 제시한 철도건널목 사고예측식은 철도건널목에서 발생하는 사고를 단순히 철도통행량, 도로통행량, 선로수, 도로수 등의 요인에 국한하여 분석한 것이고, 사고예측식 자체가 철도건널목에만 국한된다는 맹점을 안고 있어서 철도건널목장치라든지 철도건널목을 이용하는 사람들의 성향 등, 여러 인자를 고려한 철도건널목에서의 안전성분석 및 대책을 제시할 필요가 있다. 본 논문에서는 철도건널목장치를 포함하여 다른 시스템에도 범용적으로 적용할 수 있고, 제한된 변수에만 국한하지 않아 여러 사항을 고려할 수 있는 안전성분석 절차를 제시하였는데 이 안전성 분석 절차를 철도건널목에 적용함으로써 시스템의 위험요인을 분석하고, 이에 대한 원인 및 결과, 손실을 도출한 후 대책을 제시할 수 있었다.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.3D
• /
• pp.367-374
• /
• 2006

This research revealed the operation problems of the current crossing control systems through inspecting and testing the obstacle detection systems and gate control systems for the crossings. To resolve the problems of the crossing control systems, this research developed new algorithms of four-quadrant gate system and obstacle detection systems combing the functions of rasar sensors and magnetic sensors and tested the reliability of the systems. Currently, the obstacle detection systems and gate control systems controls approaching and departing traffic by simply detecting vehicles and obstacles but do not consider traffic movements at the crossings. In addition, they do not make signal cooperation for gate controls. As a result, such inefficient crossing controls result in unsafe gate controls for drivers. Therefore, the newly developed crossing control systems through this study will provide more effective crossing control services with more strengthen information cooperation within control systems. Besides they will help to reduce train crashes at the crossings by gate control systems considering various driving behaviors.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.237-240
• /
• 2023

본 논문은 철도 건널목(교차로)에서 발생하는 차량, 보행자 및 야생 동물 사고 등의 상황에서 발생하는 위험 요소를 설정하고 철도 건널목(교차로)의 운행상황을 확인할 수 있도록 모형 철도 주변에 유형별 센서들을 설치하고 데이터를 인지하여 시스템에 저장하고, 유효한 데이터 분석을 통해 Orange3 머신러닝 기법을 적용한다. 철도 건널목에 관련된 이미지 중 위험인자로서 차량, 보행자 및 야생동물등의 객체를 감지하고 데이터를 수집하여 활용한다. 또한 이러한 데이터들은 이용자 상황에 맞는 철도 데이터 운영 시스템으로 적용할 수 있도록 위험 예측 시스템을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.289-292
• /
• 2022

본 논문에서는 실제 철도 건널목(교차로)에서 발생하는 소음 및 진동, 차량 및 보행자 사고와 같은 위험 요소로부터 발생하는 위험 상황들을 분류하고, 철도 건널목(교차로) 운행 상황을 구현한 모형 철도 주변에 센서를 부착하여 철도 건널목에서 발생하는 위험 요소들을 아두이노 센서로 감지해 데이터를 수집한다. 또한 수집된 데이터들을 활용하여 사용자의 상황에 맞는 철도데이터 운영시스템을 제안한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.6
• /
• pp.169-177
• /
• 2010

A railroad is used to a lot of area and it is an eco-friendly and an effective means of communication which is a transport for passengers and products. In recent years, the accidents caused by subway and railroad are cognate with people. We need to come up with preparing measures to avoid the accidents. In this paper, to prevent an accident developing and implementing a system which is a railroad management safety system is the purpose. The system is able to provide scalability for smart railroad safety service based on context aware information. Besides, it is able to furnish flexibility through the OSGi framework.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38C no.5
• /
• pp.471-478
• /
• 2013

In this paper, we have designed and implemented an obstacle detecting device based laser radar. It is an alternative to solve through problem analysis of that are currently operated safety equipment and status research of domestic railway crossing. It is target to improve the safety and reliability of the rail traffic through effective obstacle detection at crossing account for a large proportion of train accidents. suggest a system to overcome the problems caused by aging and limitation of existing safety equipment. Design a crossing obstacle detection device that utilizes laser radar scanner, proved this through performance evaluation and testing of the prototype.

• Information and Communications Magazine
• /
• v.32 no.12
• /
• pp.32-37
• /
• 2015

본 글에서는 철도교통의 안전성 향상을 위해 철도건널목의 지장물을 검지하는 기술을 소개한다. 철도건널목에 자동차나 보행자 등 열차운행에 지장을 줄 수 있는 물체가 존재하는지 확인하기 위하여 현재 레이저빔 방식의 검지장치를 사용하고 있으나 기술적 한계와 문제점을 보이고 있다. 이를 극복하기 위해 2차원 레이저스캐너 센서를 적용하여 새로운 지장물 검지 시스템을 설계하였으며, 관심구간에 존재하는 물체의 크기와 방향을 검지하는 알고리즘을 탑재하여 효과적인 지장물 인식이 가능하도록 하였다. 제작한 시작품을 실제 운영노선에 설치하여 현장시험을 수행하였다. 본 글에서는 개발된 기술을 설명하고 현장시험 결과를 소개하고자 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.13 no.2
• /
• pp.57-67
• /
• 2014

In the last decade, various situations were simulated through virtual environment due to rapid improvement of computer capability and technology. Transportation engineering also has adopted the virtual environment facility in order to identify drivers behaviour under various circumstances. This study aims to evaluate driver reactions to the introduction of new ITS interventions at railway crossings (RLX) in driving simulator. Three ITS safety devices were used to figure out how drivers reacted to them. In addition, a survey was conducted to find participants' work load and acceptance of the technology. The ultimate purpose of this paper is to evaluate ITS safety devices in various aspects. Each participant made 3 runs (2 baselines, 1 ITS randomly) for approximately 20 minutes each. The participants answered that current railway crossings did not look safe prior to experiment. They responded that the use of ITS technologies were easy and the technologies were more effective on passive railway crossings.

• Proceedings of the KSR Conference
• /
• 2007.05a
• /
• pp.605-613
• /
• 2007

In order to overcome the difficulties of quantitative risk analysis such as complexity of model, we propose a systematic methodology for risk quantification of railway system which consists of 6 steps: The identification of risk factors, the determination of major scenarios for each risk factor by using event tree, the development of supplementary fault trees for evaluating branch probabilities, the evaluation of event probabilities, the quantification of risk, and the analysis in consideration of accident situation. In this study, in order to address the feasibility of the propose methodology, this framework is applied to the prototype risk model of nation-wide railway level crossings. And the quantification result based on the data of 2005 in Korea will also be presented.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.5 no.2
• /
• pp.138-144
• /
• 2010

This paper presents the experimental analysis of a F-Hessian SIFT-Based Railroad Level-Crossing Safety Vision System. Region of surveillance, region of interests, data matching based on extracting feature points has been examined under the laboratory condition by the model rig on a small scale. Real-time system were observed by using SIFT based on F-Hessian feature tracking method and other common algorithm.