• Journal of Korean Tunnelling and Underground Space Association
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• v.6 no.3
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• pp.199-211
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• 2004

As the length of local tunnels is getting longer, the demand for tunnel safety attracts more attention. But only a few information can be found concerning traffic and fire accidents occurred in local tunnel, and full-fledged studies had not been carried out to fulfill the expectation of the tunnel users. This study aims at collecting and analyzing the data on traffic and fire accidents in local road tunnels and providing the fundamental data for the tunnel fire safety evaluation. Focus is placed on quantifying the relationship among traffic accidents, fire occurrences and tunnel characteristics.

• 한국IT서비스학회:학술대회논문집
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• 2007.11a
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• pp.260-265
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• 2007

제2만덕터널은 부산시민의 생활에 반드시 필수적인 장소로 하루 10만대의 차량이 이용하는 곳이지만 터널의 노후화와 안전시설의 미비로 사고발생시 인명피해는 물론 경제적 손실 발생 가능성이 큰 터널 시설물이다. 제2만덕터널은 2005년 7윌부터 2006년 9월까지 교통사고 56건, 고장사고 44건, 화재 2건, 기타 11건의 사고가 발생한 곳으로 관리사무소 전담요원 7명이 3교대로 근무하고 있으며 CCTV 15대만으로 사고를 대비하고 있다. 터널의 중요성을 고려할 때 노후화된 터널이지만 유비쿼터스 기술 및 구조물 계측기술을 적용한 안전관리 시스템이 필요하다. 제2만덕터널은 1985년에 준공되어 현재와 같은 보다 체계적인 터널 안전 관리 기술이 적용되리 많은 터널로 USN기반 구조물, 노면, 화재, 공기, 조명센서를 이용한 실시간 모니터링과 돌발적인 교통사고 발생 시에 신속한 복구 처리를 위하여 유관기관과 연계된 긴급 지원 시스템의 구축의 좋은 모델이 될 것이다. 부산광역시에는 총 17개 터널이 있으며 그 중 11곳이 90년 이전에 구축된 것으로 본사업으로 노후화 터널의 유비쿼터스 기반의 안전관리 시스템이 개발된다면 부산을 중심으로 전국에 산재한 노후화 터널의 안전 관리 개선에 미치는 파급효과가 클 것이며 유비쿼터스 기술의 대표적 적용 사례가 될 것이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.145-154
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• 2012

This paper analyzed the characteristics of traffic accidents in all tunnels on nationwide freeways and selected some various independent variables related to accident occurrence in tunnels. The study aims to develop reliable accident forecasting models using the various dependent variables such as the number of accident (no.), no./km, and no./MVK. Finally, reliable multiple linear regression models were proposed in this paper. This study tested the validity verification of developed models through statistics such as $R^2$, F values, multicollinearity, residual analysis. The paper selected the accident forecasting models considering the characteristics of tunnel accidents and two models were finally proposed according to two groups of tunnel length. In the selected models, natural logarithm of ln(no./MVK) is used for the dependent variable and AADT, vertical slope, and tunnel hight are used for the independent variables. The reliability of two models was proved by the comparison analysis between field data and estimating data using RMSE and MAE. These models may be not only effective in evaluating tunnel safety under design and planning phases of tunnel but also useful to reduce traffic accidents in tunnels and to manage the traffic flow of tunnel.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.2
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• pp.83-90
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• 2015

Almost of current Automatic Incident Detection(AID) algorithms involve the vulnerability that detects the traffic accident in open road or in tunnel as the traffic jam not as the traffic accident. This paper proposes the improved accident detection algorithm to enhance the detection probability based on accident detection algorithms applied in open roads. The improved accident detection algorithm provides the preliminary judgment of potential accident by detecting the stopped object by Gaussian Mixture Model. Afterwards, it measures the detection area is divided into blocks so that the occupancy rate can be determined for each block. All experimental results of applying the new algorithm on a real incident was detected image without error.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.3-4
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• 2021

폐쇄된 터널 내부에서는 사고가 일어날 경우 외부에서는 터널 내 상황을 알 수가 없어 경미한 사고라 하더라도 대형 후속 2차 사고로 이어질 가능성이 크다. 또한영상탐지로사고 상황의 오검출을 줄이기 위해서, 본 연구에서는기존의 많은 CNN 모델 중 보유한 데이터에 가장 적합한 모델을 선택하는 과정에서 가장 좋은 성능을 보인 VGG16 모델을 전이학습 시키고 fully connected layer의 일부 layer에 Dropout을 적용시켜 Overfitting을일부방지하는 CNN 모델을 생성한 뒤Yolo를 이용한 영상 내 객체인식, OpenCV를 이용한 영상 프레임 내에서 객체의ROI를 추출하고이를 CNN 모델과 비교하여오검출을 줄이면서 사고를 검출하는 시스템을 제안하였다.

• 기술발표회
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• s.2006
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• pp.331-341
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• 2006

터널 설계시 일반적으로 지반조사와 물리탐사를 시행하여 지층에 따른 적절한 터널 지보패턴을 설정하고 있으나, 다양한 지반 및 지질특성과 설계단계에서 미쳐 발견되지 못한 단층등의 연약대로 인하여 시공시 터널내에서 종종 붕락사고가 발생하고 있다. 터널 굴착시 발생하는 붕락은 터널의 안정성 저하 및 공기 지연 등의 큰 문제점들을 발생시키므로 조기에 적절한 보강방안이 요구된다. 본 논문에서는 터널 굴착시 발생한 두개의 붕락사고에 대해서 붕락원인과 붕괴유형을 파악하고 현장 여건에 맞는 신속한 보강대책을 제시하고 시공한 보강사례이다. 향 후 본 사례와 유사한 터널붕락사고가 발생할 경우 보강설계 및 보강방안을 계획.수립하는데 유용한 참고자료가 될 것이다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.291-292
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• 2012

본 연구는 여러 가지 센서를 이용하여 자동차 전용 도로터널의 차량 사고시의 음향을 인식하여 사고인식률을 높이는 화재 예고 시스템에 관한 연구이다. 현행의 CCTV나 자동화재탐재설비에서 감지하는 열센서나 영상전송자료를 파악하기에 앞서, 이차적 재해 가능성을 유의미한 수준에서 미리 예고하고 대응할 수 있는 사전예고시스템을 구성하였다. 유선설치기반의 센서로 대부분 구성된 도로터널 내에서 비교적 설비가 저렴한 무선센서를 사용함으로서 기존 터널에서의 적용성을 증대시켰다.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 2008.10a
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• pp.249-260
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• 2008

Although the accident rate is lower than the road tunnel, fire in railway tunnel can bring large damage of human life. In the high speed railway tunnel, the possibility of the railway-disaster (fire) is growing in consideration of the speedy railway and the tunnel length. For that reason, MLTM (Ministry of Land, Transport and Maritime Affairs) published "Rules about the Safety Standard of Railroad (2005.10.27)" and "The Detailed Safety Standard of Railroad (2006.9.22)". According to those, QRA(Quantitative Risk Analysis) technique is recommended to be applied to railway tunnel design which is longer than 1km for assuring the safety function and estimating the risk. However, it is difficult to perform the disaster prevention design due to lack of the detailed standards about event scenario, fire intensity, incidence rate of accidents etc. Therefore, This paper introduces the case of tunnel design for disaster prevention of the Honam high speed railway including the detailed standards of QRA and reasonable safety facilities.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6D
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• pp.549-556
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• 2012

Longitudinal tunnels are defined as tunnels with length of over 1km. Because of Korea's topographical conditions and as safety measures for linear design, many tunnels are inevitably being constructed in Korea. The number of longitudinal tunnels constructed on expressways amounted to 104 as of the end of 2010 with a total length of 192km. Given the increasing demand for tunnels and the increasing length of tunnels, a safety evaluation of longitudinal tunnels needs to be conducted. As such, this study selected design elements, transportation environment and delineation system as elements to check and tried to determine factors influencing road crashes. For this, tunnels have been classified based on history of crashes; ones with crashes and ones without crashes and statistically meaningful explanatory variables were selected. By using these variables, a logit model was development in order to better grasp the factors that directly and strongly influence crashes. The result, related to crashes as well as the analysis were utility tunnel interior materials of driving lane and passing lane, which are related to driver's visibility, lateral width widening to consolidate space in a tunnel, and annual average daily traffic (AADT) per lane. These results may be used in the future as analysis indicators when drawing up plans to prevent crashes in longitudinal tunnels.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.753-762
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• 2024

Tunnels have limited evacuation areas, and It is difficult for cars coming from behind to recognize the accident situation in front. Since an accident is very likely to lead to a serious secondary accident, a IoT-based smart tunnel accident warning system was studied to prepare for traffic accidents that occur in tunnels. If the measured values from the flame detection sensor, gas detection sensor, and shock detection sensor in the tunnel exceed the standard, it is judged to be an emergency situation and an alert system is designed to operate. The accident information message was designed to be displayed on the LCD and transmitted to drivers inside and outside the tunnel through a Wi-Fi communication network. A performance test system was established and performance evaluation was performed for several accident scenarios. As a result of the test, it was confirmed that the accident alert system can accurately detect accidents based on given reference values, perform alert procedures, and transmit alert messages to smart phones through Wi-Fi wireless communication. And through this, its effectiveness could be confirmed.