• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.3
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• pp.73-84
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• 2010

This study presents a novel method to identify hazardous segments of freeway using global positioning system(GPS) based probe vehicle data. A variety of candidate contributing factors leading to higher potential of accident occurrence were extracted from the probe vehicle dataset. The research problem was defined as a classification problem, then a well-known classifier, bayesian neural network was adopted to solve the problem. A binary logistic regression technique was also used for selecting salient input variables. Test results showed that the proposed method is promising in extracting hazardous freeway sections. The outcome of this study will be effectively used for evaluating the safety of freeway sections and deriving countermeasures to prevent accidents.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.452-459
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• 2019

In order for an autonomous vehicle to be commercialized, it is necessary to conduct a safety test for every aspect. Considering the implementation of the autonomous vehicles technologies to the highest level, it is necessary to analyze the possible scenarios in the most complex environment as in the urban area. It should be confirmed whether autonomous vehicles can be operated with conventional traffic signal environment. It is also required to confirm the ability of autonomous vehicles in interacting with other vehicles, and coping with possible accidents on the road. In this study, the evaluation factors of autonomous vehicles in the road environment are selected by referring to the other evaluation protocols like ADAS. Study result would be reflected in establishing the autonomous vehicle evaluation method for different test environment along with various technology implementation level.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.40 no.1
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• pp.21-26
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• 2014

Objectives: The purpose of this article is to analyze the incidence, demographic distribution, type, and etiology of mandible fractures that were treated by the Department of Oral and Maxillofacial Surgery in Kyung Hee University Dental Hospital from January 2002 to December 2012. Materials and Methods: This was a descriptive and analytic retrospective study that evaluated 735 patients that were treated for mandible fracture. Results: This study included 1,172 fractures in 735 patients. The ratio of male to female patients was 5.45 : 1; the maximum value was in patients between 20 and 29 years (38.1%) and the minimum in patients over 70 years old. The monthly distribution of facial fractures peaked in the fall and was lower during winter. No specific correlation was identified based on the annual fracture distribution. Among the 735 fracture patients, 1.59 fracture lines were observed per patient. The most frequent site was the symphysis, which accounted for a total of 431 fractures, followed by the angle (348), condyle (279), and body (95). The symphysis with angle was the most common site identified in combination with fracture and accounted for 22.4%, followed by symphysis with condyle (19.8%). The angle was the most frequent site of single fractures (20.8%). The major cause of injury was accidental trauma (43.4%), which was followed by other causes such as violence (33.9%), sports-related accidents (10.5%), and traffic accidents (10.1%). Fracture incidents correlated with alcohol consumption were reported between 10.0%-26.9% annually. Conclusion: Although mandible fracture pattern is similar to the previous researches, there is some changes in the etiologic factors.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.207-217
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• 2014

Many a number of policies have been tried to reduce auto accidents so far, but it is obvious that further studies are still needed to find a more fundamental and multi-dimensional preventive measure with effect. The National Mental Health Statistics shows that the most profound forms of negative emotions, that is, depression and anxiety, have been increasing, but studies on such a topic are scarce to find. Therefore, we conducted a structural analysis between the negative emotions, including depression and anxiety, of drivers and their driving behaviors using a Structural Equation Modeling(SEM) technique. The review of past literature and studies indicated that not all of human emotions manifest themselves as the ultimate behaviors because they go through emotion regulation Strategies. For this reason, the purpose of this study was set to analyze the structural model developed in this study reflecting the emotion regulation strategies. The result of our analysis showed that the driver's negative emotion had a more significant influence on dangerous driving behaviors than safe ones, and especially, the expressive suppression strategy was found to be the highest factor. Also, the total effect analysis with the negative emotional factors showed that expressive suppression had more significant influence compared to that of cognitive reappraisal. The implication of this study might provide a better understanding on driving behaviors of the drivers and could be used as a fundamental study for future policy development to reduce traffic accidents.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.681-686
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• 2024

Korea Post service provides public services to the public, including mail, deposits, and insurance. The work of the postal activities is labor-intensive and physically intensive. Postal workers are exposed to the risk of injury and musculoskeletal disorders, and delivery workers are exposed to the risk of traffic accidents. The Postal Service Headquarters has strengthened safety and health activities to improve hazardous risk factors in the field. In addition, we are promoting activities to spread safety culture continuously. However, it is difficult to determine whether these activities were applied well to the site of the affiliated institution, and it is not known whether they were effective in preventing safety accidents. In addition, there is no objective evaluation system, so the current level of safety and health and problems related to workplace safety and health cannot be identified. Therefore, in this study, we tried to prepare basic data to propose an evaluation system, standard, and evaluation index suitable for the postal business so that the safety level of the public postal business can be evaluated efficiently and objectively. In other words, it was intended to analyze the characteristics of the public postal business and prepare the basis for the development of evaluation indicators considering it, and through this, an effective level evaluation can be performed and problems in safety and health management by institution can be identified.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.229-238
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• 2019

The aim of the research is to investigate relationship between drivers' self-control, driving behavior and driving stress. 180 people who have driver's licence and have experiences in driving in Gwangju and Jeonnam area participated for the research. The survey was conducted from 29^th April 2015 to 24^th July 2015 and data was analysed to figure out the relationship between drivers' self-control, driving behavior and driving stress. As a result, Firstly, drivers' self-control affected mistakes, violations, errors of driving behavior, and driving environment, traffic regulations, accident control, time pressure of driving stress. It showed a statistical significant difference and the higher drivers' self-control is, the lower sub construct factor of driving behavior and driving stress. Secondly, those factors of drivers' self-control, driving behavior and driving stress were correlated. The result showed the relationship between drivers' self-control, driving behavior and driving stress. It is also possible to utilize the information to prevent car accidents. Finally, it is expected to do research further by expanding the participants into multiple areas of people.

• Korea journal of population studies
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• v.26 no.2
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• pp.1-32
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• 2003

An analysis on cause-specific mortality at the provincial level provides essential information for policy formulation and makes it possible to draw hypotheses regarding various diseases and causes of death. Although the mortality level and causes of death at the provincial level are determined by the multiple effects of socioeconomic, cultural, medical and ecological factors, this study primarily intends to examine similarities and differences of cause-specific mortality at the provincial level. Utilizing the registered death and the registered population as of 1998, the delayed death registration and unreported infant deaths were supplemented at the provincial level and age-standardized death rates and life tables were calculated. Regarding the mortality level due to all causes, major findings were as follow: (1) For both sexes as a whole, Seoul showed the lowest mortality level, and Jeonnam showed the highest mortality level; and (2) The differences of the mortality level among provinces were greater for males than females and for those less than 65 years than those 65 years and over. Regarding the cause-specific mortality level revealed in all indicators (cause-specific age-standardized mortality rates and the probability of dying at birth due to a specific cause for males, females, and both sexes combined respectively), the major findings were as follow: (1) The mortality level due to heart diseases was the highest in Busan and the lowest in Gangweon; (2) The mortality level due to liver diseases was the highest in Chonnam; and (3) The mortality level due to traffic accidents was the highest in Chungnam and the lowest in Inchon. As the mortality differentials at the provincial level are related to various factors, exploratory statistical analysis is attempted for the 25 explanatory variables including socioeconomic variables and 90 mortality variables. Mortality due to all causes are related to socioeconomic variables. Among cause-specific mortality, mortality due to liver diseases and traffic accidents is related to socioeconomic variables. Finally, the need to improve the quality of death certificate is discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.164-181
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• 2023

In a low speed limit environment, the speed limit tolerance of automated traffic enforcement devices is very high, which is one of the main factors for the low compliance rate. Therefore, in this study, we aimed to the improve the speed limit tolerance and to present a new standard. The effects of the operator and user errors that can cause speeding by drivers were analyzed. Based on the results of the analysis, an improvement of the tolerance was proposed by applying an error in the enforcement device and GPS speed. In addition, long-term expected safety effects such as the accident rate and severity were estimated from the operator's perspective when improving the tolerance. As a result of the estimation, the speed limit compliance rate, accident rate, and change rate of a number of severe accidents due to speed change, and pedestrian traffic accident mortality rate were all improved in all speed limit environments. The introduction of the proposed improvement is expected to improve road safety significantly.

• Journal of Trauma and Injury
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• v.27 no.3
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• pp.43-49
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• 2014

Purpose: Trauma is one of the most common causes of death for children, and identifying severely injured children quickly in an overcrowded emergency room (ER) is difficult. Therefore, severe injury must be prevented, and the severity of injuries in children must be determined easily from their general characteristics and pre-hospital factors. Methods: Injured children younger than 15 years of age who visited the ER from June 2011 to May 2013 were enrolled. According to the revised trauma score (RTS) of the patients, the study population was divided in two groups, a severe group (RTS<7) and a mild group ($RTS{\geq}7$). The general characteristics and the pre-hospital factors were compared between the two groups. Results: Six hundred seventy-three children were enrolled, their mean age was 8.03 (${\pm}4.45$) years, and 476 (70.73%) patients were male. Of these patients, 22 patients (3.27%) were in the severe group, and 651 patients (96.73%) were in the mild group. Fewer males were in the severe group than in the mild group (50.00% vs. 71.43%, p=0.030), and children in the severe group were younger than children in the mild group (3.50 vs. 8.00 years, p=0.049). In the severe group, toddlers (54.55%, p=0.036) were the most common age group. Severe injuries occurred more often in spring (32.81%) and summer (54.56%) than in autumn (9.09%) and winter (4.55%) (p=0.026). The most common places of injury in the severe group were roads (50.00%, p=0.009), and the most common mechanisms of injury in the severe group were traffic accidents (50.00%), followed by falls (31.82%) (p=0.011). Most severely injured children were transferred by ambulance (72.73%, p=0.000). Conclusion: The results of this study may be helpful for identifying severely injured children quickly in the field and the ER. To prevent severe pediatric injuries, precautions and policies based on these results should be established.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.10
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• pp.948-956
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• 2014

Today, Intelligent Vehicle Detection System seeks to reduce the negative factors, such as accidents over to get the traffic information of existing system. This paper proposes detection algorithm for the illegal U-turn vehicles which can cause critical accident among violations of road traffic laws. We predicted that if calculated optical flow vectors were shown on the illegal U-turn path, they would be cause of the illegal U-turn vehicles. To reduce the high computational complexity, we use the algorithm of pyramid Lucas-Kanade. This algorithm only track the key-points likely corners. Because of the high computational complexity, we detect center lane first through the color information and progressive probabilistic hough transform and apply to the around of center lane. And then we select vectors on illegal U-turn path and calculate reliability to check whether vectors is cause of the illegal U-turn vehicles or not. Finally, In order to evaluate the algorithm, we calculate process time of the type of algorithm and prove that proposed algorithm is efficiently.