• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.157-159
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• 2008

This paper has been studied traffic accident using intelligence prediction algorithm. and wish to prevent accident by guiding in 2 km ahead the accident that occur in fog section and a snow-covered road, sudden roadworks and sharp curve section, etc and removing fog and snow automatically using the ubiquitous and intelligence technique. If we can predict of traffic accident, we can prevent the many traffic accident. In this paper, we present neural network approach for prediction of traffic accident. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering prevention of traffic algorithm for optimal traffic cycle is better than fixed signal method which dose not using prevention of traffic algorithm.

• Journal of Korean Public Health Nursing
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• v.14 no.2
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• pp.332-341
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• 2000

Children's accident is a largely preventable public health problem. Little is known. however, about population-based incident and outcome of pediatric accident. From 1997.9 through 1998,8. admission data from emergency center in I city were collected. 1418 patient from 0 through 13 years of age were selected. All children with unintensional accidental problems were identified through coded sheet which categorizes epidemiologic characteristics. The specific purposes of this study are analysis about the characteristics of pediatric accidents. And it aims to produce the basic data necessary for accident prevention policy development. The results of this study were as follows; 1. The number of male children$(62.6\%)$ were higher than female children$(37.4\%)$ 2. The age group from 1 to 3 years represents the highest proportion$(45.4\%)$ of every accidents except on traffic accident. 3. The highest proportion of accident were as follows occured during the June-August$(34\%)$, Sunday$(22.6\%)$, and 17-21 p.m. $(37.2\%)$ 4. The main causes of accident include general trauma$(70.9\%)$, environmental accident$(l6.8\%)$. and traffic accident$(l2.1\%)$, 5. Preschool age group represents more than half$(65.4\%)$ of traffic accident. 6. environmental injury includes burns $(46.6\%)$, foreign body$(43.6\%)$, exposure to poisonous materials$(6.3\%)$. and bite(3.3) This results could be used to develope prevention programs and assist in accident prevention system development. And also these data substantiate that accident prevention program decrease safety-related injury rate in preschool age group must be concentrated on enhancing access to a system to have a significant effect. Furthermore, it is necessary for accident prevention. So several suggestions are described here: 1. Development of parent's educational program for accident prevention and safety education should be done actively. 2. Home safety surveillance system should be initiated. 3. The initiation of children's accident report system could be contribute the analysis and the reduction of accident.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.131-136
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• 2013

Automobile was first introduced in 1903 in South Korea, the masses of the car was carried out rapidly compared to other countries. However, many people were killed in a traffic accidents and economic loss was occurred due to the spread of the automobile. In South Korea, 2012, traffic accident occurred 223,656 times, 5,392 fatality, 344,565 injured people. In the last five years, about 224,000 accidents per year were occurring. In other words, 610 traffic accidents occur and about 15 people pass away in one day. In addition, the proportion of traffic accidents is first place in the OECD countries and it is very high in the world. Understand occurrence tendency of traffic accident, accident frequency rate of the driver who drives more than 10 years was higher than the novice driver. In addition, as a result of examining the cause of the traffic accident, breach of safe driving obligation appears highest case (125,391 times), and followed by signal violation, break safety distance. Therefore, the majority of traffic accidents occurred by the lack of safety awareness of the driver. In this study, prevent the loss of human life and property in traffic disaster, by establish disaster prevention measures that investigated by questionnaire survey and statistical data of the state of consciousness and driving posture in response to the driving history of the driver.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.1-9
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• 2024

In this paper, we propose a new approach by analyzing driver behavior and gaze changes within the vehicle in real-time to assess and predict the risk of traffic accidents. Utilizing data analysis and machine learning algorithms, this research precisely measures drivers' abnormal behaviors and gaze movement patterns in real-time, and aggregates these into an overall Risk Score to evaluate the potential for traffic accidents. This research underscores the significance of internal factors, previously unexplored, providing a novel perspective in the field of traffic safety research. Such an innovative approach suggests the feasibility of developing real-time predictive models for traffic accident prevention and safety enhancement, expected to offer critical foundational data for future traffic accident prevention strategies and policy formulation.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.85-90
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• 2023

The delivery truck is traveled around the delivery area for a long time. Truck drivers cause traffic accidents because of long hours of driving, fatigue, and speeding, etc. In this study, we will test the factors for preventing accidents of drivers. We would like to find factors that affect accidents and improve that can prevent accidents. As in the results of the study, accidents occur when traffic increases and profits increase among driver age, career, and profit factors. In addition, if the volume of traffic increases during the season, the number of accidents increases further. Therefore, in order to prevent truck accidents, a stable cargo quantity must be allocated to truck and cargo must be delivered.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.4
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• pp.354-362
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• 2000

Increasing amount of road tragic in 90's has drawn much attention in Korea due to its influence on safety problems. Various types of data analyses are done in order to analyze the relationship between the severity of road traffic accident and driving conditions based on traffic accident records. Accurate results of such accident data analysis can provide crucial information for road accident prevention policy. In this paper, we apply several data fusion, ensemble and clustering algorithms in an effort to increase the accuracy of individual classifiers for the accident severity. An empirical study results indicated that clustering works best for road traffic accident classification in Korea.

• Journal of Korean Academy of Nursing
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• v.29 no.3
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• pp.656-664
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• 1999

Accidents are the leading cause of death in children worldwide. The purpose of this study is to use basic data of safety education, counseling, and information available regarding accident prevention to examine the degree of mothers' accident prevention practices for their children. Data were collected from June to October, 1998 from 587 mothers including 2 University hospitals located in Seoul and Kyoungki-Do. By using the 30 item questionnaire, which was created by researchers through literature review, the degree of mothers' accident prevention practices for their children was measured. The degree of accident prevention practices of mothers shown ranged 70-118 and averaged 3.19. Compared to the composit area average score, drug keeping had the highest score of 3.57 The next highest scores and traffic safety(3.41), and supervision of child(3.30). Prevention against burning was the lowest point at 2.58. With the respect to the demographic characteristics, there were stastically significant differences in the mothers' education(F＝4.291, p＝.014), type of residence(F＝3.979, p＝.008), and child developmental age (F＝5.275, p＝.001). The degree of accident prevention practices of mothers were relatively high. But the area which showed the low degree of accident prevention practices, required nurses' active education, counseling, social interest and support, and mass media participation.

• The Korean Journal of Emergency Medical Services
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• v.25 no.2
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• pp.99-112
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• 2021

Purpose: The study aimed to analyze the current status of traffic accident victims who were transported by 119 ambulances within the administrative district of Chungnam province and provide essential data for accident prevention. Methods: The pre-hospital care records of patients who called the 119 emergency service in 2019 were obtained from the Chungnam Fire Department. Data pertaining to 13,663 traffic accident victims who were transported to hospitals were analyzed. Results: Patients in those aged ≥60 years accounted for 49.8% of the total cases. In patients aged ≥80 years(n=2,154), motor cycle accidents were highest as 28.3%. In addition, cultivator (n=135) and buggy car (n=79) accident victims were the highest in aged ≥80 years as 66.7% and 67.1%, respectively. Traffic accident victims-population ratio in Chungnam was 0.65%, wherein 2.03% included population aged ≥80 years. Conclusion: It was clear that accidents varied across administrative districts depending on the age group of population distribution. Thus, safety measures for preventing motorcycle, cultivator, and buggy car accidents are necessary for areas with many older people aged ≥80 years.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.47-54
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• 2006

In order to reduce traffic accidents, many researchers studied a traffic accident model. The Cause of traffic accidents is usually the mis calculation of traffic signals or bad traffic intersection design. Therefore, to analyse the cause of traffic accidents, it takes effort. This paper, it calculates the optimal safe car speed considering intersection conditions and weather conditions. It will recommend calculation of 1/3 in vehicle speed when there are rainy days and snow days. But the problem is that it will always display the same speed limit when whether conditions change. In order to solve these problems, in this paper, it is proposed the calculation of optimal safety speed algorithm uses weather conditions and road conditions. Computer simulations is prove that it computes the traffic speed limit correctly, which proposed considering intelligent traffic accident prediction algorithms.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.199-209
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• 2009

By materials of traffic safety public corporation, from 2007. 1. 1 to 2007 12. 31, for a year. traffic accidents took place in korea were 211,662 accidents. By this 6,166 people were death, and 335,906 people were wounded. In Gwangju metropolitan city, in 2007 year, 7,881 accidents took place and 152 people were death and 12,728 peoples were wounded, in 2008 year, 8,231 accidents took place and 138 people were death and 13,533 people were wounded. Death people reduced but accidents numbers were in creased 4.4%. Meanwhile, government did various traffic policies to reduce traffic accident. But still, disgrace of underdeveloped country in traffic division couldn't take off. Moreover, traffic safety unconcern of general country people are very deficient. In this research, as the basis of Gwangju province police agency, in traffic accident the present state, I am' going to analyse the part of directly related to citizen life and centering death accident and to present traffic police activities for prevention of traffic accidents.