• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.4
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• pp.1-14
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• 2019

In order to minimize problems related to the performance and safety of automobiles, the "Age Limit for Vehicles System" which restricts the age of buses, taxis, and trucks, was implemented in 1973. This contributed to the reduction of accidents and increase of user's service satisfaction. However, the restriction system for trucks was abolished in August 1997 as it was deemed restrictive to economic growth. It is found that one of main causes of traffic accidents such as Changwon Tunnel accident occurred in recent years, is the aging of trucks. Thus, There is a growing need for the management of the age of trucks. In this study, the time when cargo vehicles need to be managed is suggested, by analyzing the safety of cargo vehicles using vehicles inspection data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.6
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• pp.54-62
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• 2010

The scientific analysis of car-pedestrian accidents is not an easy task because of the characteristic of the accidents itself. Since the analysis involved human being, there were few experimental data that could be used for the analysis. The coefficient of friction of human body was the one of crucial data for accident analysis, but no field experiment report was available for various roadway conditions. This study intends to measure the coefficient of friction of human body through field studies. Results showed that the coefficient of friction of human body for dry asphalt pavement conditions was 0.59~0.62, and for dry concrete pavement conditions was 0.59~0.61. In addition, the coefficients for wet asphalt pavement and for wet concrete pavement conditions were 0.56~0.59 and 0.51~0.54 respectively, indicating 5.0% and 8.3% reduction compared to the dry conditions. The deduced coefficients were validated using the simulation program. It has been confirmed that the experiment values were close to the simulation results.

• Archives of Craniofacial Surgery
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• v.21 no.5
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• pp.294-300
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• 2020

Background: Mandibular fractures are one of the most common types of facial fractures, the treatment of which can be delayed due to the severity of the trauma resulting in an increase of complications; thus, early evaluation of trauma severity at the time of visit is important. In South Korea, trauma patients are triaged and intensively treated in designated regional trauma centers. This study aimed to analyze the relationship between trauma severity and mandibular fracture patterns. Methods: A medical records review was performed on patients who visited the regional trauma center at our hospital for mandibular fracture between 2009 and 2018. Epidemiologic data and mandibular fracture patterns were analyzed and compared with the conventional facial injury severity scale (FISS). Results: Among 73 patients, 51 were classified as non-severe trauma patients and 22 as severe trauma patients. A higher trauma severity was associated with older age (odds ratio [OR], 1.164; 95% confidence interval [CI], 1.057-1.404) and lower risk was associated with fractures located in the angle (OR, 0.001; 95% CI, 0-0.022), condylar process (OR, 0.001; 95% CI, 0-0.28), and coronoid process (OR, 0.004; 95% CI, 0-0.985). The risk was lower when the injury mechanism was a pedestrian traffic accident (OR, 0.004; 95% CI, 0-0.417) or fall (OR, 0.004; 95% CI, 0-0.663) compared with an in-car traffic accident. Higher FISS (OR, 1.503; 95% CI, 1.155-2.049) was associated with a higher trauma severity. The proposed model was found to predict the trauma severity better than the model using FISS (p< 0.001). Conclusion: Age, location of mandibular fractures, and injury mechanism showed significant relationships with the trauma severity. Epidemiologic data and patterns of mandibular fractures could predict the trauma severity better than FISS.

• Korean Journal of Culture and Social Issue
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• v.12 no.4
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• pp.77-99
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• 2006

The purpose of this study was to find out the effects of auto-mobile tinting upon driver's cognitive responses and behaviors through two laboratory experiments, a field experiment and a traffic accident data. The results of two laboratory experiments showed that there were higher false alarm responses under the conditions of 65%, 50%, 35% tinting level than thoses under the 100% level condition. It was also shown that the drivers who had bad sight made more missing responses than the drivers who had normal vision. The main results of the laboratory experiment were repliceted through both the field experiment and the survey research of car accidents. The results of this study were discussed in terms of the previous studies performed abroad. We strongly suggested 70% tinting level as a regulation standard for safe driving and the strategies for implementing the regulation rule.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.3
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• pp.419-432
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• 2019

Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

• Research in Community and Public Health Nursing
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• v.10 no.1
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• pp.70-79
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• 1999

This study attempts to encourage the development of a rehabilitation delivery system as a substitute service for hospitalization such as a community based intermediate facility or home health care. We need substitute services for hospitalization to curtail the length of stay for inpatients due to car accidents. It focused on developing an estimation for early discharge based on a detailed statement of treatment from medical records of 109 inpatients who were hospitalized at General Hospital in 1997. This study has three specific purposes: First, to find the mean length of stay and mean medical expenditure. Second, to estimate the mean of early discharge from the mean length of stay. Third, to analyize the income effect per bed from early discharge. In order to analyze the length of stay and medical expenditure of inpatients the author conducted a micro and macro-analysis with medical expenditure records. To estimate the early discharge we examined with a group of 4 experts decreases in the amount of treatment after surgery, in treatments, in tests, in drug methods. We also looked their vital signs, the start of ROM exercise, the time removel, a patient's visitations, and possible stable conditions. In addition to identifing the income effect due to an early discharge, the data was analyzed by an SPSS-PC for windows and Excell program with a regression analysis model. The research findings are as follows: First, the mean length of stay was 47.56 days, but the mean length of stay due to early discharge was 32.26 days. The estimation of early discharge days was shown to depend on the length of stay. The longer the length of stay, the longer the length before discharge. For example, if the patient stayed under 14 days the mean length of stay was 7.09 while an early discharge was 6.39, whereas if the mean length of stay was 155.73, the early discharge time was 107.43. The mean medical expenditure per day of car accident patients was found to be 169,085 Won, whereas the mean medical expenditure per day was shown to be in a negative linear form according to the length of stay. That is the mean expenditure for under 14 days of stay was 303,015 Won and the period of the hospitalization of 15 days to 29 days was 170,338 Won and those of 30 days to 59 days was 113,333 Won. The estimation of the income effect due to being discharged 16 days was around 2,350,000 Won with a regression analysis model. However, this does not show the real benefits from an early discharge, but only the income increasing amount without considering prime medical cost at a general hospital. Therefore, we need further analysis on cost containments and benefits incending turn over rates and medical prime costs. From these research findings, the following suggestions have been drawn, we need to develop strategies on a rehabilitation delivery system focused on consumers for the 21st century. Varions intermediate facilities and home health care should be developed in the community as a substitute for shortening the length of stay in hospitals. In home health care cases, patients who want rehabilitation services as a substitute for hospitalization in cooperation with private health insurance companies might be available immediately.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.5 no.4
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• pp.53-58
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• 2006

IHRA Pedestrian Working Group has investigated and analyzed the current status of pedestrian-vehicle accidents in IHRA member countries. According to the results, European countries and Japan are working on new regulations to improve passive pedestrian protection on passenger cars significantly. Although IHRA proposed pedestrian test procedures, which may provide a basis of technical regulations in the future, further research and development are necessary to refine the procedures. In order to prepare and satisfy the pedestrian protection requirements, domestic passenger vehicles also should be tested. Among various safety-related studies based on accident data analysis, dealing with pedestrian head injury would be considered one of the keen interests. In this study, the pedestrian headform impact test system is developed. The developed system will be useful to carry out validation study of the test procedures through actual tests using sample vehicles, and to explore the car feasibility level prior to the use of the test methods in legislation.

• International Journal of Highway Engineering
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• v.11 no.2
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• pp.195-203
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• 2009

This research wished to risk type and examine closely driver special quality and relation of traffic accidents by occurrence type of traffic accidents and traffic accidents seriousness examine closely relation with Severity. Fractionate traffic accidents type by eight, and driver's special quality for risk group's classification did to distinction of sex, vehicle type, age etc. analyzed relation with injury degree adding belt used putting on availability for security the objectivity with wave. Used log-Linear model and Logit model for analysis of category data. A head-on collision and overtaking accident, right-turn accident are high injury or death accident and possibility to associate in relation with accident type and seriousness degree. In risk group analysis The age less than 20 years in motor-cycle driver, taxi driver in 41 years to 50 years old are very dangerous. The woman also was construed to the more risk group than man from when related to car, mini-bus, goods vehicle etc. Therefore, traffic safety education and Enforcement for risk group that way that can reduce accident that produce to reduce a loss of lives at traffic accidents appearance a head-on collision and overtaking accidents, right-turn accidents should be studied and as traffic accidents weakness class may have to be solidified.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.119-130
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• 2009

The aim of this study is to analyze the effects of DVR(Driving Video Recorder) operation on decreasing the number of traffic accidents, the cost of traffic accident claim, and the behavioral change in drivers' driving. The data for this research are obtained from taxi drivers in Busan. For this, Structural Equation Model and two-way ANOVA are employed for empirical analysis. Overall results of this study show that the number of traffic accidents of 4 taxi corporations in Busan has decreased by average 32.7 percent after using DVRs. In addition, as to the cost of taxi accident claims, it is expected that the DVR operation has a considerable effect on economic benefits of taxi corporations. Moreover, this study could make clear the difference in behaviors between DVR users and non-users, and discriminate the positive and negative impacts of the DVR operation on the drivers' driving behavior. The study quantitatively examined the indirect impact of 'attitude', 'subject norm' and 'behavioral control' factors on planned 'behavior', and the direct impact of 'behavioral control' factor on the planned 'behavior'. This study suggests that they should add the video recoding function of DVRs when operation recorder(blackbox for the car) is obligatorily set up on cars for business by traffic security law.

• Journal of Acupuncture Research
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• v.25 no.6
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• pp.135-143
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• 2008

Objectives : The main purpose of this research is to make a survey of the effective way of the Oriental medical care and to enlarge the range of Oriental medical treatment about traffic accidental patients. Methods : In following research, we surveyed 120 patients of traffic accident who were hospitalized in Dong-Shin Oriental Medical Hospital from October, 1, 2007 to August, 20, 2008 according to medical chart. Results : 1. In distribution of gender and age, the rate of male was 35.8%, that of female was 64.2% and the majority of the patients were twenties and thirties. 2. In the traffic accident patterns, the most was car crash from behind(61.7%) and after traffic accident, 75 patients(62.5%) visited our hospital for oriental medical treatment in less than 5days. 3. 46 patients(38.3%) choose the oriental medical treatment for the primary care and after medical care, 36 patients(31.7%) visited our hospital due to dissatisfaction of current treatment and maintained pain. 4. Partial pain was the chief complaint and the most of painful parts was neck(76.7%), followed by low back(69.2%). 5. Though radiation test, the most was cervical spine sprain(76.7%), followed by straightening of lumbar spine(66.7%). 6. In the periods of admission, less than 7 days was the most(53.3%), followed by less than 14 days(35.9%). 7. The treatment was effective to 93 patient out of 106 who had been hospitalized for less than 14 days. Conclusions : This data suggested that the Oriental medical care could be more effective treatment about traffic accidental patients without surgical injury.