• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.302-309
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• 2021

The section speed enforcement system measures the starting instantaneous speed, the The section speed enforcement system measures the starting instantaneous speed, the ending instantaneous speed, and the section average speed, and imposes fines only for the portion that has been speeding the most. However, according to the Road Traffic Act, most of the systems are installed on highways, so existing research has been conducted on highway sections. In this study, it is expected that the installation of section speed enforcement systems on general national roads will be expanded according to the revision of related laws. ITS collection and operation data targeting the section speed enforcement system installed on National Road 3 Seongnam Icheon-ro was used to analyze traffic speed, standard deviation of traffic speed, and reduction in traffic accidents by dividing it into before installation, trial operation period, and after crackdown. As a result of the analysis, the traffic speed, standard deviation, and traffic accidents decreased by 13%, 25%, and 70%, respectively, after installation, confirming that the installation of the section speed enforcement system greatly contributed to the reduction of accidents.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.173-179
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• 2017

Autobike is insufficient of car navigation informations and high of accident dangerousness comparing to car. So if a system providing autobike driver's driving information and e-call function is developed using smart helmet consisting of collision perception sensor, rear camera, bluetooth communication module, MCU and HUD, It is very useful and can decrease of person's damage and handle expeditious traffic accident during autobike accident. In this paper, when this, "Providing system of autobike driver's information and e-call function", software is developed, a proper analysis and design method for practical affairs try to be presented due to showing software development analysis method, architecture of hardware block-diagram, flowchart and UI design.

• International Journal of Aeronautical and Space Sciences
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• v.16 no.3
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• pp.451-462
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• 2015

Safety is the first priority in civil aviation, and so the International Civil Aviation Organization (ICAO) has introduced and mandated the use of Safety Management Systems (SMS) by airlines, airports, air traffic services, aircraft maintenance organizations, and training organizations. The aircraft manufacturing industry is the last for which ICAO has mandated the implementation of SMS. Since SMS is a somewhat newer approach for most manufacturers in the aviation industry, they hardly believe in the value of implementing SMS. The management of safety risk characteristics that occur during early aircraft development stages and the systematic linkage that the safety risk has to do with an aircraft in service could have a significant influence on the safe operation and life cycle of the aircraft. This paper conducts a case analysis of the McDonnell Douglas MD-11 accident/incident to identify the root causes and safety risk levels, and also verified why aircraft manufacturing industry should begin to adopt SMS in order to prevent aircraft accident.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.33-42
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• 2011

The types of the accidents caused by intra-city buses and the changing tendencies of driving attitudes are analyzed before-and-after semi-public management system of intra-city bus system is implemented. On the basis of analysis, the measures on the decrease of traffic accidents are considered and the results are as follows. First, it showed that the traffic accidents decreased generally as a result of definition of the progresses of traffic accidents of intra-city buses before-and-after the system is implemented and with the passing of time after the system was operated. Second, the factors which influence the decrease of traffic offenses before-and-after semi-public management system of intra-city bus are the decease of violation, safe driving duty and the job security. Also the cause which mostly influence to the decrease of traffic accidents is defined. Finally, the measures of decrease of traffic accidents are arranged and proposed as a result of PROXSCAL method.

• Journal of Acupuncture Research
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• v.31 no.2
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• pp.31-38
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• 2014

Objectives : The purpose of this study is to find the effectiveness of Korean medical treatment on stress caused by traffic accidents. HRV analysis and IES-R K research were used to evaluate it. Methods : We selected patients who entered the KangNam KyungHee Hospital between 28 Sep 2013 and 14 Apr 2014 and met inclusion/exclusion criteria. Before taking treatment, we took HRV and IES-R-K first to know the exact mental conditions of patients. For a week, we had taken acupuncture treatment, herb medicine treatment and physical therapy. After that, we compared patients' changes between before-treatment and after-treatment with the same examination. Results : In a period of one week, Korean medical treatment makes LF(Norm) stay within the normal range and HF(Norm) increase. But, we could not find statistical significance between two. The normal range of LF/HF ratio increased, and there was statistical significance. After treatment, the IES-R-K score tended to decrease. Statistically, korean medical treatment is useful to alleviate subjective stress by traffic accidents. Conclusions : Korean medical treatment makes the sympathetic system relax and parasympathetic system rise so it balances an autonomic nervous system. But, there is not statistical significance. Also, it gives positive effect on car accident patients' treatment in terms of easing their subjective stress. Prospective and Larger study will be necessary.

• Journal of the Korean Society of Marine Environment & Safety
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• v.10 no.2 s.21
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• pp.29-34
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• 2004

The marine traffic congestion has increased due to the expansion of vessel traffic volume in Korean coastal waterway these days. Heavy traffic could bring serious marine casualties which cause the loss of human lives, properties and marine pollution in coastal area. In this paper, the probability analysis of marine casualties in Korean coast. To achieve this aim, clears up the cause of accident and examines closely the mutual relations among marine casualties, weather condition, and marine traffic volume. These casualties are classified into several patterns or the point of view of ship's size, ship's type and ship's age and its characteristics of each pattern are described In detail.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.7-15
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• 2008

New Car Assessment Program(NCAP) provides consumers with vehicle safety information, primarily front and side crash rating results, and more recently rollover ratings, to aid consumers in their vehicle purchase decisions. NCAP is a system to improve driver and passenger safety by providing market incentives for vehicle manufacturers to voluntarily design their vehicles to better protect drivers and passengers in a crash and be less susceptible to rollover, rather than by regulatory directives. NCAP have been performed since 1999 in Korea by the government in order to reduce fatalities and injuries caused by traffic accidents. Although as the number of vehicles models increases, more vehicle models are required to be test and NCAP is evaluated as a valuable system for vehicle safety, the expansion of the system is slow. It looks like that the benefit of NCAP quantitatively was not verified. In this study, based on the idea that the benefit of the NCAP is defined as the decrease of traffic accident severity by improving vehicle safety, a methodology to analyze the effectiveness of NCAP quantitatively in terms of traffic safety was developed. According to the developed methodology, the reduced numbers of fatalities and injuries were 1.51 and 466 in 2005.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.5
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• pp.1135-1146
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• 2015

This thesis aims to improve the safety of bicycle traffic for activating the use of bicycle, main means of non-powered and non-carbon transportation in order to cope with worldwide crisis such as climate change and energy depletion and to implement sustainable traffic system. In this regard, I analyzed the problem of bicycle roads currently installed and operated, and developed the bicycle accident forecasting model. Following are the processes for this. First, this study presented the current status of bicycle road in Korea as well as accident data, collect the data on bicycle traffic accidents generated throughout the country for recent 3 years (2009~2011) and analyzed the features of bicycle traffic accidents based on the data. Second, this study selected the variable affecting the number of bicycle accidents through accident feature analysis of bicycle accidents at Jeollanam-do, and developed accident forecast model using the multiple regression analysis of 'SPSS Statistics 21'. At this time, the number of accidents due to extension per road types (crossing, crosswalk, other single road) was used. To verify the accident forecast model deduced, this study used the data on bicycle accident generated in Gwangju, 2011, and compared the prediction value with actual number of accidents. As a result, it was found out that reliability of accident forecast model was secured through reconciling with actual number of cases except certain data. Third, this study carried out field survey on the bicycle road as well as questionnaire on satisfaction of bicycle road and use of bicycle for analysis of bicycle road problems, and presented safety improvement measures for the problems deduced as well as bicycle activation plans. This study is considered to serve as the fundamental data for planning and reorganizing of bicycle road in the future, and expected to improve safety of bicycle users and to promote activation of bicycle use as the means of transportation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.5
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• pp.780-790
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• 2022

Quantitative risk levels must be presented by analyzing the causes and consequences of accidents and predicting the occurrence patterns of the accidents. For the analysis of marine accidents related to vessel traffic, research on the traffic such as collision risk analysis and navigational path finding has been mainly conducted. The analysis of the occurrence pattern of marine accidents has been presented according to the traditional statistical analysis. This study intends to present a marine accident prediction model using the statistics on marine accidents related to vessel traffic. Statistical data from 1998 to 2021, which can be accumulated by month and hourly data among the Korean domestic marine accidents, were converted into structured time series data. The predictive model was built using a long short-term memory network, which is a representative artificial intelligence model. As a result of verifying the performance of the proposed model through the validation data, the RMSEs were noted to be 52.5471 and 126.5893 in the initial neural network model, and as a result of the updated model with observed datasets, the RMSEs were improved to 31.3680 and 36.3967, respectively. Based on the proposed model, the occurrence pattern of marine accidents could be predicted by learning the features of various marine accidents. In further research, a quantitative presentation of the risk of marine accidents and the development of region-based hazard maps are required.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.100-118
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• 2021

In this study, PM accidents (1,603case) and bicycle accidents (14,672case) that occurred in the last three years were analyzed to determine the characteristics of PM traffic accidents. In particular, PM traffic accidents were divided into perpetrators and victims to determine the characteristics in detail. For PM accidents, the analysis was conducted on the status of each road grade, road type, weather condition, accident type, day and night occurrence, and vehicle type. The number of PM accidents that occurred in 2019 increased by 129%, and deaths increased by more than 200% compared to the previous year. The proportion of pedestrian accidents among PM traffic accidents was higher than that of bicycle accidents. Therefore, regulations on PM traffic are necessary. For the 20 deaths of PM, a detailed analysis was conducted to analyze the factors of traffic accidents. PM fatalities occurred in 50% of vehicle accidents, and 7 out of 10 vehicle accidents occurred at night. This is believed to have been caused by falling or overturning due to an obstacle, such as a depression in the road pavement or a speed bump.