• Journal of Auto-vehicle Safety Association
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• v.10 no.2
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• pp.13-19
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• 2018

The purpose of this study was to evaluate the effect of air bag deployment in passenger car head-on collisions on injuries to the driver. The drivers in head-on collisions who were brought to the emergency rooms of two hospitals from January 2011 and October 2014 were evaluated, as were the vehicles involved. The driver injury level were assessed by utilizing Collision Deformation Classification (CDC) codes, and the Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS), respectively. In this study, it was shown that the chest ISS and AIS were significantly high when an air bag only is deployed. A statistically significant difference was found in the crush extent when the driver who fastened the seatbelt was found to be affected more than the ISS 9. Even when an air bag is deployed in a head-on car collision, injury severity can vary according to accident circumstances and crash severity. Accordingly, first aid can be rapidly given, and the injured person can be quickly referred to a hospital, only if the assessment of persons involved in a vehicle accident is accurately carried out.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.530-537
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• 2016

This study investigates frontal crashes, analyzes the driver's action related to the change of the collision direction and determines the severity of (bodily injury). This study was conducted from August, 2013, to January, 2014, and the data for the car damage and human body damage were collected by emergency medical teams. In terms of data collection, we collected the accident vehicle, crash direction, body damage, etc., based on the Korea In-depth Accident Study (KIDAS) and Injury Severity Score (ISS). We used Minitab 17 and SPSS 22.0 to do the frequency analysis and ANOVA. In the analysis results, the prevalence of frontal collisions was 55.8% and mostly occurred in the 12 o'clock direction. In the analysis of the frontal crash direction according to age, the average ages for the 11, 12 and 1 o'clock directions were $46.46{\pm}13.47$, $44.43{\pm}13.40$ and $52.46{\pm}12.04$, respectively, so the older age drivers had a high probability of the accident occurring in the 1 o'clock direction. In the analysis of men's frontal collision direction according to age, the average ages in the 11, 12 and 1 o'clock directions were $47.10{\pm}13.88$, $45.24{\pm}13.78$ and $55.73{\pm}13.38$, respectively, so older aged men had a high probability of having collisions in the 1 o'clock direction. However, the statistical analysis of the frontal crash direction according to age in women didn't show any meaningful trend. When comparing the ISS according to age of the men and women in the collision direction, the men were less likely to have a 12 o'clock collision when $ISS{\geq}9$ and more likely to have a 1 o'clock collision when ISS<9. As a result, frontal crashes are more likely to occur in the 12 o'clock direction and the ISS decreases because the likelihood of frontal crashes in the 1 o'clock direction increases with increasing age. Therefore, when men recognize that they are heading for a 12 o'clock direction collision, they try to steer to the left to reduce the body damage.

• Fire Science and Engineering
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• v.22 no.2
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• pp.20-29
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• 2008

The traffic accident of Fire engine takes place very much, compared with that of the past. The reason is that there is a lot of the increase of the demand in the fire, rescue, first aid, and the public request. Also, because the Fire engine should go out at the place of the accident very quickly, it should inevitably violate the traffic regulations. Therefore, this is due to the traffic accident. Despite the urgent situation in the infringement motive of traffic regulations, the outbreak of the traffic accident does not vary largely from the degree of the disadvantage. Accordingly, a fire officer should take charge of his social and economic disadvantage by himself. In this situation, a fire officer has no choice but to start moving passively not to be afflicted with his own disadvantage. Most of the situations concerning the fire fighting are the ones to be controlled urgently. Nevertheless, because of the disadvantage of the traffic accident, passive mobilization of the fire fighting equipment is the heavy burden of all the people of the nation. Therefore, Special institutional safety device should be ready for the protection of the life and property of all people. The special law concerning the processing in the accident of the emergency car needs to be revised. By establishing this special law, the government should not provide the officer who drives the fire engine with the disadvantage caused by traffic accident.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.5
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• pp.162-168
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• 2013

Recently, there have been efforts in many countries to reduce social expenses and casualties resulting due to car accidents. As such, ASS (active safety systems) are being researched and developed to prevent accidents and target mitigation. Among many useful active safety systems, it has been reported that commercial AEBS (Advanced Emergency Braking System) effectively prevents accidents and reduces casualties simultaneously. Accordingly, it is necessary to set Korean AEBS standards, and this research analyzes international AEBS standards for this necessity. In addition to the evaluation methodology of AEBS ECE Regulation, this study suggests traffic scenarios that occur frequently in domestic road environments, and provides an evaluation system for AEBS of the scenarios. Finally, the performance and safety of AEBS are evaluated through field test.

• Journal of Auto-vehicle Safety Association
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• v.5 no.1
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• pp.56-61
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• 2013

This paper presents a development of the Advanced Emergency Braking (AEB) Algorithm for passenger vehicles. The AEB is the system to slow the vehicle and mitigate the severity of an impact when a rear end collision probability is increased. To mitigate a rear end collision, the AEB comprises of a millimeter wave radar sensor, CCD camera and vehicle parameters of which are processed to judge the likelihood of a collision occurring. The main controller of the AEB algorithm is composed of the two control stage: upper and lower level controller. By using the collected obstacle information, the upper level controller of the main controller decides the control mode based not only on parametric division, but also on physical collision capability. The lower level controller determines warning level and braking level to maintain the longitudinal safety. To decide the braking level, Last Ponit To Brake and Steer (LPTB/LPTS) are compared with current driving statues. To demonstrate the control performance of the proposed AEBS algorithm's, closed-loop simulation of the AEBS was conducted by using the Matlab simlink and CarSim software.

• 전기의세계
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• v.20 no.4
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• pp.12-16
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• 1971

The electrical detector and computer systems for traffic flow and speed measurement are demonstrated in this paper. For the best traffic control optimization, linear and non-linear equations in the transition state are dealing with the perturbation of the linear car-following. In the conclusions, we construct a realizable system for the central automatic traffic control with a computer. Furthermore, fixed periodic switching system by manual with the automatic traffic control system is recommended for emergency perturbation.

• Journal of Platform Technology
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• v.9 no.3
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• pp.44-51
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• 2021

In general, golden time refers to the most important time in the initial response to accidents such as saving lives or extinguishing fires. The golden time varies from disaster to disaster, but is aimed at five minutes in terms of fire and first aid. However, for the actual site, the average dispatch time for ambulances is 9 minutes and the average transfer time is 17.6 minutes, which is quite large compared to the golden time. There are various causes for this delay, but the main cause is traffic jams. In order to solve the problem, the government has established emergency car concession obligations and secured golden time to prioritize ambulances in places with the highest accident rate, but it is not a solution in rush hour when traffic is increasing rapidly. Therefore, this paper proposed a deep learning-based emergency vehicle priority signal system using collected sound data by installing sound sensors on traffic lights and conducted an experiment to classify frequency signals that differ depending on the distance of the emergency vehicle.

• Journal of Trauma and Injury
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• v.25 no.4
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• pp.132-138
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• 2012

Purpose: Trauma is one of the major causes of maternal and fetal mortality, and the most common cause of maternal trauma is a traffic accident. In Korea, data about traffic accidents in pregnant women are not widely collected and classified so far. Hence, we studied and analyzed the characteristics of injured pregnant women by the traffic accidents. Methods: From January 2002 to August 2011, pregnant women who were in traffic accidents visiting Emergency Department were studied. Pregnancy out come and the degree of the damage were determined through the retrospective analysis of the medical records. Results: The pregnant women who visited after traffic accidents were total 204 patients. Among them, 176 patients had no complication related to the traffic accidents, 28 patients had complications. The incidence of the complications in the 3rd trimester pregnants was statistically significant higher than that in the other trimesters. The analysis based on the mechanism shows more complications in the pedestrian injury. In the survey by the type of the vehicles, the complications from the trauma associated with a car had lower incidence. The patients arrived at the emergency center by walking had greater numbers than who arrived by an ambulance in the groups occurred the complications. The patients suffered complications who complained pain in trunk especially in abdomen and pelvis than in extremities and complained vaginal discharge, and those showed a statistically significant greater incidence. Conclusion: When pregnant women were injured by the traffic accidents, the factors related to the poor pregnant prognosis were trimester of pregnancy, means of visiting the emergency center, trauma mechanism, and complaining symptoms. Therefore, these factors may be used as a prognostic tool to predict an incidence of complications, length of hospital stay and rate of complications and can be used to plan for treatments.

• Journal of the Korean Institute of Gas
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• v.26 no.1
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• pp.1-6
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• 2022

This paper is a purpose to study and analyze the engine starting failure examples for LPG car. The first example, the researcher verified the phenomenon that didn't supply the fuel because of filter clogging by fine alien substance in the gas valve line when he inspected the emergency cutting valve. The second example, there was no the influence of gas leakage when the solenoid operated at first. But the damage part of solenoid assemblying face wad downed a durability according to running a valve. Eventually, the researcher checked on the phenomenon of engine stopping by no gas feeding in solenoid because of leaking of gas. The third example, the researcher sought that the wiring sheaths of connector fin between EGR 10A fuse and LPG switch verified the burn-out phenomenon due to the bad contacting as tension damage produced the overheating. Therefore, the manager of a car has to do pre-inspection no producing electric failure and he must maintain his car with optimum condition.

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1135-1142
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• 2017

In this paper, we propose IoT based smart CCTV security service to prevent crime in blind spot and prevent unexpected fire or danger. In the proposed method, a RC (Radio Control) car is made using Raspberry pie, and a camera and various modules are installed in an RC car. It was then implemented using Raspbian O / S, Apache Web Server, Shell script, Python, PHP, HTML, CSS, Javascript. The RC car provides a security service that informs the manager of the situation by judging the risk of the scene with modules such as video, voice and temperature. Experimental results show that the transmission time of video and audio information is less than 0.1 second. In addition, real-time status transmission was possible in AVG, emergency, and manual mode. It is expected that the proposed method will be applied to the development of smart city by applying it to unmanned vehicles, drones and the like.