• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.1
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• pp.85-92
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• 2007

Traffic accident number is decreasing tendency every year. But, large size accident or hit-and-run case increases continuously. As well as, traffic accident causes real form of accident ambit thats why, social expense rises. For that reason we are going to present our plan that can prevent traffic accident when traffic accident occurs, we presented our idea that can arbitrate traffic accident quickly. Driver can know more correctly traffic circumstance through hearing and sight by using DMB. Finally, we suggested plan that supply traffic information that is more effective by TPEG.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.201-207
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• 2001

Construction accidents are very serious comparing to its workers. These kind of accidents consist in the particularity of construction. The accident prevention task in construction requires both into immediate approach and longer range approach of instruction, training and education. Information concerning each individual accident, if the information of investigation has been done well, it provides information of prevention accident. At this point, this paper by examining 800 cases of serious accident researched by the Korea Occupational Safety and Health Agency from Jan. 1992 to Dec. 2000 specifically targeting apartment and building construction develops the construction information system to suggest the proper information of construction safety.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.95-103
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• 2022

Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.

• Proceedings of the ESK Conference
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• 1995.10a
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• pp.114-124
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• 1995

The production activity by human is accompanied by various accidents, resulting in human and property loss. If information on these industrial accident can be collected, organized and analyzed for a period of time and be used in the decision-making process for the purpose of preventing industriar accident, we will be able to get rid of industriar accident and prevent human and property loss and creat a pleasant industrial atmosphere. In order to achieve this goal, the collected information should be accurate, and trusted in the work place or govemement agency the informantion is being utilized. This research analyzed the problem in our nation's industrial accident statistics and estimated the number of accidents that are occuring and suggested improvement measures so that the industrial accident statistics can be calculated arately.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.1465-1467
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• 2004

Compared with other transport means, safety and timeliness are the merits of railways. Unexpectedly when accident happens, much time and human strength are required to cope with the accident. And for swift recovery, systematic rehabilitation is needed. Recently using MTS(Moving picture Transmission System), we can perform accident rehabilitation and recording work efficiently. MTS is the device that transmits continuous picture information from accident field to control center. e are developing the appropriate system to railway situation to make use of the existing information communication technology, processing technology of video-tex, super high speed transmission technology through fiber-optic, copper cable and network description of information Technology, etc. If these communication-based can technologies are applied to railway system, railway managers can control the accident by inspecting the picture of accident field and can contribute to the safe train operation and the improvement of railway management. In this paper, we investigate the connecting methods when optical fiber is used for moving picture data transmission of train accidents, and its problems. And, we validate MTS's performance through about 28km section of field test.

• Journal of the Society of Disaster Information
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• v.11 no.2
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• pp.219-225
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• 2015

Hydrofluoric acid leakage accident was occurred on Dec. 2012 in Hube Global. That accident has bought many changes of response in national organizations. Chemical companies respond quickly even when small quantities leakage of chemicals and response agencies were put a lot of manpower and equipment in incident response. Incident response to the response activities of the agents is difficult if the accident substance was not identified. Unknown chemicals can be generated by the water for fire-fighting during the emergency response process. In this case, an additional information was needed for response of chemical accident to prevent of great damage. In this study, we investigated the improvement of chemical accident information by extraordinary chemical accident.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.20-29
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• 2022

This study intends to present a traffic node-based and link-based accident prediction models using XGBoost which is very excellent in performance among machine learning models, and to develop those models with sustainability and scalability. Also, we intend to present those models which predict the number of annual traffic accidents based on road types, weather conditions, and traffic information using XGBoost. To this end, data sets were constructed by collecting and preprocessing traffic accident information, road information, weather information, and traffic information. The SHAP method was used to identify the variables affecting the number of traffic accidents. The five main variables of the traffic node-based accident prediction model were snow cover, precipitation, the number of entering lanes and connected links, and slow speed. Otherwise, those of the traffic link-based accident prediction model were snow cover, precipitation, the number of lanes, road length, and slow speed. As the evaluation results of those models, the RMSE values of those models were each 0.2035 and 0.2107. In this study, only data from Sejong City were used to our models, but ours can be applied to all regions where traffic nodes and links are constructed. Therefore, our prediction models can be extended to a wider range.

• Journal of the Korean Society of Safety
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• v.34 no.2
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• pp.56-62
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• 2019

Secondary accident is common type of accident which occurs in Korean highway tunnels. Fatality rate of secondary accidents in highway tunnels is six time higher than primary accidents. Video type VMS is a new way of providing information to road users which was recently introduced by Korean government to prevent secondary accidents in highway tunnels. In this study we compared changes in driver's behavior when information is provided by Text type and Video Type VMS. In addition to analyze effects of secondary accident reduction, driving behavior was analyzed based on providing advance information by video type VMS at tunnel entrance. Analysis showed that both text type and video type VMS has similar effect on driver behavior. Video type VMS showed positive effect on driver's behavior to prevent secondary accident when information is provided 1km ahead of accident. Considering there results and the short-term memory characteristics of driver, it was determined that information should be provide at about 650m from the entrance of the tunnel. The results of this study are consistent with the requirement that VMS should be installed at least 500m ahead of tunnel and produce more accurate providing information points. 650m is also appropriate interval for providing information in tunnel to cope with an accident ahead.

• Journal of the Society of Disaster Information
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• v.13 no.4
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• pp.570-576
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• 2017

Trucks take up more portions than cars on highways. Due to this, road use relatively diminish and it serves locally as a threatening factor to nearby drivers. Baggage car accident has distinct characteristics so that it needs the application of different analysis opposed to ordinary accidents. Accident prediction model, one of accident analyses, is used to predict the numbers of accident in certain parts, establish traffic plans as well as accident prevention methods, and diagnose the danger of roads. Thus, this study aims to apply the accident rate of baggage car on highways and calculate the correction factor to be put in the accident prediction models. Accident data based on highway was collected and traffic amounts and accident documents between 2014 and 2016 were utilized. The author developed an accident prediction model based on numbers of annual accidents and set mean annual and daily traffic amounts. This study intends to identify the practical accident prediction model on highway and present an appropriate solution by comparing the prediction model in accords with the accident rate between baggage cars.

• Journal of the Korea Safety Management & Science
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• v.4 no.4
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• pp.63-71
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• 2002

Accident analyses are used to identify common factors contributing to occupational accidents and to give recommendations for accident prevention. This study concerns with the accident characteristics and prevention in the telecommunication service industry. To investigate the accident characteristics, we used workers' compensation reports and employers' accident analysis reports. Three hundred and forty-five injury accidents which results in more than 4 days absence were surveyed. These data were used to investigate the accident characteristics in terms of company size, injured person's age, work experience, accident time, activity at time of accident, accident type, injured body part, and accident agency. We propose the accident prevention policy based on the accident characteristics. These results can be used to develop more effective occupational safety management policies in the telecommunication service industries.