• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.493-497
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• 2015

This study was started with concern about problem of increasing physical and personal injury caused by traffic accidents, despite of technological advances in transportation. As the vehicles, which is currently produced, informs the driver only detecting the proximity of an object by the front and rear sensor, this study implemented the color detection algorithm, the circular shape recognition algorithm, and the distance recognition algorithm and built the accident prevention beyond accident perception, which commends to avoid the object or to stop the robot, if object was detected by algorithms. For the simulation, we made the Arduino vehicle robot equipped with compact wireless communication camera and confirmed that the robot successfully avoids an object or stops itself in simulated driving.

• Journal of Trauma and Injury
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• v.19 no.1
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• pp.74-80
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• 2006

Purpose: For prevention and suitable administration, the effect of age on the severity of injuries in traffic accidents should be considered when evaluating a patient, but there have not been enough epidemiological studies that evaluate the age factor in traffic accidents. For that reason, we investigated old-aged patients who were involved in traffic accidents (65 years old or more) and who were admitted to the emergency department of a college hospital in an urban city of Korea. Methods: We collected data from traffic-accident patients who came to the emergency room of a university hospital in Seoul from Jan.1, 2004 to Dec.31, 2005. We compared their abilities to ambulate and the RTSs (Revised trauma scores) by using a LSD (least significant difference), linear regression. Results: A total of 1460 patients were included. The mean RTS of all traffic-accident patients was $7.77{\pm}0.280$. The scores for drivers and passengers, motor-cycle drivers and passengers, bicycle drivers and passengers, and pedestrians were $7.79{\pm}0.21$, $7.78{\pm}0.22$, $7.54{\pm}0.25$, $7.77{\pm}0.20$, and $7.80{\pm}0.21$ respectively (p=0.000). There was no statistically significant difference between the RTS of patients over 65 years and that of other patients. In a regression analysis, the number of patients over 45 ages who were able to ambulate was lower than that of younger people, independently of other influencing factors (B=-0.330, R-square = 0.243, p=0.000). Conclusion: We expected that RTS of old age group more than 65 years old will significantly lower than that of others, but there was no statistically significant difference.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.867-878
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• 2021

Recently, there has been active research on smart street lamps that can collect real-time traffic data and provide traffic information by attaching images and radars to road lighting facilities. Smart street light technology can detect, identify, and provide dense information compared to existing technologies. In order to effectively utilize the smart streetlight as a high-resolution information delivery medium, a branch-type operation strategy that is different from the existing centralized operation strategy is required. This study presents dynamic information delivery strategies, release strategies, and their criteria for various purposes in a spatial range, separated by the context before and after the occurrence of smart street lights-based accidents. Through this, it is expected that smart road lighting facilities can be used more effectively.

• Wind and Structures
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• v.24 no.3
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• pp.287-306
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• 2017

In the present study, a new assessment simulation of ride safety based on a new wind-traffic-pavement-bridge coupled vibration system is developed considering stochastic characteristics of traffic flow and bridge surface. Compared to existing simulation models, the new assessment simulation focuses on introducing the more realistic three-dimensional vehicle model, stochastic characteristics of traffic, vehicle accident criteria, and bridge surface conditions. A three-dimensional vehicle model with 24 degrees-of-freedoms (DOFs) is presented. A cellular automaton (CA) model and the surface roughness are introduced. The bridge deck pavement is modeled as a boundless Euler-Bernoulli beam supported on the Kelvin model. The wind-traffic-pavement-bridge coupled equations are established by combining the equations of both the vehicles in traffic, pavement, and bridge using the displacement and interaction force relationship at the patch contact. The numerical simulation shows that the proposed method can simulate rationally useful assessment and prevention information for traffic, and define appropriate safe driving speed limits for vulnerable vehicles under normal traffic and bridge surface conditions.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.114-122
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• 2021

In this paper, an automated vehicle intersection collision accident was analyzed through simulation. Recently, the more automated vehicles are distributed, the more accidents related to automated vehicles occur. Accidents may show different trends depending on the sensor characteristics of the automated vehicle and the performance of the accident prevention system. Based on NASS-CDS (National Automotive Sampling System-Crashworthiness Data System) and TAAS (Traffic Accident Analysis System), four scenarios are derived and simulations are performed. Automated vehicles are applied with a virtual system consisting of an autonomous emergency braking system and algorithms that predict the route and avoid collisions. The simulations are conducted by changing the sensor angle, vehicle speed, the range of the sensor and vehicle speed range. A range of variables considered vehicle collision were derived from the simulation.

• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.561-564
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• 2007

This case was successfully constructed as a leakage prevention case of primary 2-arch tunnel located in Anyang, Gyungkido. The leakage of primary 2-arch tunnel was observed at middle wall of tunnel and girder of tunnel. Such a leakage of primary 2-arch tunnel generally occurred due to the damage of the waterproof membrane constructed on the middle wall during the blasting works of right and left tunnel after construction of the middle wall. As the leakage, icicles hanged from girder of tunnel in the winter. In such phenomenon, the risk of the traffic accident in the tunnel was high. In this case, leakage prevention works were successfully constructed using the heat insulated drainage.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.142-148
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• 2023

In Modern days, Self-driving for modern people is an absolute necessity for transportation and many other reasons. Additionally, after the outbreak of COVID-19, driving by oneself is preferred over other means of transportation for the prevention of infection. However, due to the constant exposure to stressful situations and chronic fatigue one experiences from the work or the traffic to and from it, modern drivers often drive under drowsiness which can lead to serious accidents and fatality. To address this problem, we propose a drowsy driving prevention learning model which detects a driver's state of drowsiness. Furthermore, a method to sound a warning message after drowsiness detection is also presented. This is to use MoveNet to quickly and accurately extract the keypoints of the body of the driver and Dense Neural Network(DNN) to train on real-time driving behaviors, which then immediately warns if an abnormal drowsy posture is detected. With this method, we expect reduction in traffic accident and enhancement in overall traffic safety.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.4
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• pp.308-315
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• 2012

Hebei Spirit Oil Spill that happened in 2007 had prompted the need of revisiting the coastal safety. In response to this, Korea had made an effort to implement VTS in every coastline in the country. There are a lot of theoretical studies on VTS function nowadays, but coastal VTS are less frequently studied. In this paper, performance analysis results and accident prevention activities of Jindo Coastal VTS center were summarized and the Coastal VTS function are investigated. Jindo Coastal VTS covers relatively wide area and various places with various maritime traffic characteristics are the major navigation vessels, which means that it is important to control these vessels. Since the probability of accidents due to human error is relatively high in coastal area due to negligence tendency of crews during coastal area navigation, coastal VTS has to provide sufficient assistance to navigating vessels. Like most harbour VTS, Coastal VTS provides not only main information service, navigational assistance and traffic organization services but also various services related with advanced search-and-rescue assistance, marine national security, maritime crime prevention, oil spill response, traffic services for non-service vessel, and safety supervision for water leisure boats.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.67-75
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• 2012

Because recently(July 14, 2011) fire occurred in the engine room of a moving taxi under Namsan Tunnel 1, 51 vehicles' driver and more than 250 passengers in the road tunnel were urgently evacuated with abandoned vehicles. Vehicle fires in Namsan Tunnel that day, Sufferers struggled to escape quickly difficult to escape the two-way by abandoned vehicles on the road and to fear many casualties by using vehicle fuel and combustible interior and the driver who is ignorant of vehicle accident continuous entered in the road tunnel had accessibility the site of fire department was more difficult. In this study, It is to investigate structure and basic materials, such as fire extinguish equipment and facilities for damage prevention and to analyze the problems and to plan improvement method of fire extinguish equipment, facilities for damage prevention and transportation facilities(Large traffic signs, Breaker, etc.) on the Namsan Tunnel that in the long-term plan is prepared to strengthen for accessibility of the site of fire department in case of Vehicle's fire.

• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.662-675
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• 1998

The purpose of this study was to provide basic data on preschool children for accident prevention and to improve their health through a sound, safe living environment with safety education established through more systematic methods. Data were collected from 516 preschoolers from 4 to 6 years old using APP paper test which consists of a question and drawing. The children's general characteristics and accident proneness prospect were investigated. The relationship between the children's general characteristics and the accident proneness prospect were analyzed. The findings of the study are as follows : 1. The institution which children attended had a significant difference in accordance with the living safety (p=.015) and behavioral character(p=.033). 2. The housing pattern in which children lived had a significant difference in accordance with the movement speed(p=.027). 3. The children's age had a significant difference in accordance with the living safety(p=.002), traffic safety(p=.001), the reasoning power(p=.000), movement speed(p=.00), movement stability(p=.000) and attentional power(p=.000). 4. The children's sex had a significant difference in accordance with the movement stability and behavioral character (p=.003, p=.008). 5. The children's past accidental experience had a significant difference in accordance with the behavioral character(p=.001). 6. General assessment of the APP test had a significant difference in accordance with the children's age(p=.000) and children's past accidental experience(p=.020).