• Title/Summary/Keyword: Factors of traffic accidents

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A Study on Behavioral Factors for the Safety of Ambulance Driving by Coefficiencial Structural Analysis (구급차 안전사고에 대한 공분산 구조분석)

  • Jo, Jeanman;Lee, Tae-Yong
    • The Korean Journal of Emergency Medical Services
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    • v.4 no.1
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    • pp.95-100
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    • 2000
  • This is a study to evaluate the effects of the safety of ambulance driving and traffic accidents and to provide statistic information for the various factors to reduce the ambulance traffic accidents. The major instruments of this study were Korean Self-Analysis Driver Opinionnaire. This Questionnaire contains 8 items which measure drivers' opinions or attitudes: driving courtesy, emotion, traffic law, speed, vehicle condition, the use of drugs, high-risk behavior, human factors. The total of 145 divers were investigated ambulance drivers in Taejon City and others(6 City) from 2000. 5. July to 2000. 11. July. The data were analyzed by the path analysis - with SPSS and AMOS package program. The result are as follows : 1. It have suggested that risk factors of ambulance traffic accident much affected with emotion and speed control on safety ambulance driving(Y(Accident) = $0.88{\times}1$(Emotion Control) + $0.92{\times}2$(Speed) - $0.46{\times}3$(Traffic Law)+E). 2. It have suggested that risk factors of ambulance traffic accident much affected with emotion and speed control on safety ambulance driving(Y(Accident) = $0.398{\times}1$(Emotion Control) + $0.500{\times}2$(Speed) - $0.263{\times}3$(Traffic Law)+E) by coefficiecial structural analysis.

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A Case Study on Aircraft Accidents Due to Air Traffic Controller's Human Error - Applying TEM (Threat & Error Management) Analysis - (항공교통관제사의 휴먼에러에 기인한 국내외 항공기 사고 사례연구 - TEM(Threat & Error Management) 분석법을 적용하여 -)

  • Kim, Jung-Bin;Park, Sung-Sik
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.4
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    • pp.124-133
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    • 2021
  • The airline industry has been growing steadily since 2016 with more than 100 million air passengers, renewing the largest number of air passengers every year. Increasing air demand leads to an increase in air traffic in limited airspace, increasing the likelihood of accidents between aircraft. Due to the massive human and material damage caused by a single mistake, aviation safety is being heavily focused around the world to efficiently use limited airspace. Studies related to various human factors are underway as most of the aviation accidents are found to be caused by human factors, but research on human factors by controllers is insufficient while they are active in terms of control and operation. Given that 82% of air accidents caused by controllers are caused by human error, the importance of management of human error and changes in perception are urgently needed. This study aims to understand the seriousness of the controller's human error by analyzing the accident cases caused by the controller's human error using TEM to identify threats and errors and derive common human factors.

Spatiotemporal Feature-based LSTM-MLP Model for Predicting Traffic Accident Severity (시공간 특성 기반 LSTM-MLP 모델을 활용한 교통사고 위험도 예측 연구)

  • Hyeon-Jin Jung;Ji-Woong Yang;Ellen J. Hong
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.4
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    • pp.178-185
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    • 2023
  • Rapid urbanization and advancements in technology have led to a surge in the number of automobiles, resulting in frequent traffic accidents, and consequently, an increase in human casualties and economic losses. Therefore, there is a need for technology that can predict the risk of traffic accidents to prevent them and minimize the damage caused by them. Traffic accidents occur due to various factors including traffic congestion, the traffic environment, and road conditions. These factors give traffic accidents spatiotemporal characteristics. This paper analyzes traffic accident data to understand the main characteristics of traffic accidents and reconstructs the data in a time series format. Additionally, an LSTM-MLP based model that excellently captures spatiotemporal characteristics was developed and utilized for traffic accident prediction. Experiments have proven that the proposed model is more rational and accurate in predicting the risk of traffic accidents compared to existing models. The traffic accident risk prediction model suggested in this paper can be applied to systems capable of real-time monitoring of road conditions and environments, such as navigation systems. It is expected to enhance the safety of road users and minimize the social costs associated with traffic accidents.

Analysis of traffic accidents involving 119 emergency (119 구급대 구급차 교통사고 현황 분석)

  • Lee, Jeong-Ho;Shin, Dong-Min
    • The Korean Journal of Emergency Medical Services
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    • v.22 no.1
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    • pp.35-47
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    • 2018
  • Purpose: The purpose of this study was to investigate both the occurrence status of emergency vehicles traffic accidents and contents of the experiences of emergency medical technicians (EMTs) in fire station. Methods: A self-reported questionnaire was completed by 451 EMTs in fire stations in 6 cities provinces from February 9, 2017 to February 27, 2017. Results: Of 451 EMTs, 207 (45.9%) had traffic accidents experience. Regarding environment-related features, results indicated hour (12~18 hours), place (national highway), traffic flow (smooth), weather (clear), season (winter), and day (Friday). Regarding correlation analysis of differences in the number of ambulance traffic accidents pursuant to general features of accident-experienced drivers as a human factor, there were no significant differences in recruitment, driving careers of regular cars, driving careers of fire engines, and class but there were significant differences in fire-fighting careers. Accident experience in the group with careers over 6 years and less than 10 years higher than in the other groups. Conclusion: Efforts to expand fire engine driving education programs for the prevention of traffic accidents involving 119 emergency vehicles are required.

Modeling Traffic Accident Characteristics and Severity Related to Drinking-Driving (음주교통사고 영향요인과 심각도 분석을 위한 모형설정)

  • Jang, Taeyoun;Park, Hyunchun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.577-585
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    • 2010
  • Traffic accidents are caused by several factors such as drivers, vehicles, and road environment. It is necessary to investigate and analyze them in advance to prevent similar and repetitive traffic accidents. Especially, the human factor is most significant element and traffic accidents by drinking-driving caused from human factor have become social problem to be paid attention to. The study analyzes traffic accidents resulting from drinking-driving and the effects of driver's attributes and environmental factors on them. The study is composed as two parts. First, the log-linear model is applied to analyze that accidents by drinking or non-drinking driving associate with road geometry, weather condition and personal characteristics. Probability is tested for drinking-driving accidents relative to non-drinking drive accidents. The study analyzes probability differences between genders, between ages, and between kinds of vehicles through odds multipliers. Second, traffic accidents related to drinking are classified into property damage, minor injury, heavy injury, and death according to their severity. Heavy injury is more serious than minor one and death is more serious than heavy injury. The ordinal regression models are established to find effecting factors on traffic accident severity.

Analysis of Traffic Accidents at Unsignalized Intersections in case of Cheongju (비신호교차로의 교통사고 분석 (청주시를 사례로))

  • Park, Byeong-Ho;Kim, Hui-Sik;Im, Min-Hui;Park, Sang-Hyeok
    • Journal of Korean Society of Transportation
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    • v.25 no.5
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    • pp.67-77
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    • 2007
  • This study deals with the traffic accidents at the unsignalized intersections in Cheongju. The purpose is to analyze the characters and the relations between road environmental factors and traffic accidents. The correlation analyses among the above factors show that the accidents are strongly related to traffic volumes and sight distances in 3-legged, and the cross angles, maximum vertical grades and sight distances in 4-legged unsignalized intersections. Also the multiple linear and nonlinear regression analyses represent that the accidents in the 3-legged increase as the traffic volume and the number of double stop-lines increase, and that the accidents in the 4-legged increase as the cross angle approaches to the 90 degree and decrease as the maximum vertical grade increases. It could be expected that this results give the good implications to the future intersection improvement projects in Cheongju.

Enhancement of Transportation Safety Service for Foreigner Residing in Ansan Through Analysis of Travel Behavior and Traffic Accident (안산거주 외국인 통행실태 및 교통사고 분석을 이용한 교통안전서비스 증진방안 연구)

  • Jung, Yong Ki;Chang, Myungsoon;Kim, Jin Tae
    • Journal of Korean Society of Transportation
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    • v.31 no.1
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    • pp.25-35
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    • 2013
  • There is a need to provide appropriate transportation safety services to foreigners residing in Korea. The main purpose of this study is to enhance transportation safety services for foreigners. In order to identify the risk of traffic accidents, analysis of traffic accidents was conducted using a survey of foreigner travel behavior. According to the results of this model, the study suggests directions to achieve improvement of traffic safety services for foreigners who are unfamiliar with the transportation systems. The study results show that the risk of traffic accidents is influenced by two factors: comprehension of transport geography and of traffic laws. Necessity of policy is influenced by two factors: comprehension of transportation system and the risk of traffic accidents. Intention of using policy is influenced by two factors: the risk of traffic accidents and necessity of policy. Effect of policy is affected by the intention of using policy. The results also demonstrate that the traffic safety services for foreigner can be described as endogenous variables which are approximately 88% of the traffic safety education, 85% of the demanded multicultural district, and 75% of the portal traffic information. Compared with existing research, this study provides a systematic methodology to evaluate effects and the order of priority in establishing traffic safety policies for foreigners.

Crash Severity Impact of Fixed Roadside Objects using Ordered Probit Model (도로변 수직구조물 충돌사고의 심각도 영향요인에 관한 연구)

  • Lim, Joonbeom;Lee, Soobeom;Yun, Dukgeun;Park, Jaehong
    • International Journal of Highway Engineering
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    • v.18 no.6
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    • pp.173-180
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    • 2016
  • OBJECTIVES : Fixed roadside objects are a threat to drivers when their vehicles deviate from the road. Therefore, such roadside objects need to be suitably dealt with to decrease accidents. This study determines the factors affecting the severity of accidents because of fixed roadside objects. METHODS : This study analyzed the crash severity impact of fixed roadside objects by using ordered probit regression as the analysis methodology. In this research, data from 896 traffic accidents reported in the last three years were used. These accidents consisted of sole-car accidents, fixed roadside object accidents, and lane-departure accidents on the national highway of Korea. The accident severity was classified as light injury, severe injury, and death. The factors relating to the road and the driver were collected as independent variables. RESULTS : The result of the analysis showed that the variables of the crash severity impact are the collision location (left side), gender of the driver (female), alcohol use, collision facility (roadside trees, traffic signals, telephone poles), and type of road (rural segments). Additionally, the collision location (left side), gender of the driver (female), alcohol use, collision facility (street trees, traffic signals, telephone poles), and type of road (rural segments), in order of influence, were found to be the factors affecting the crash severity in accidents due to fixed roadside objects. CONCLUSIONS : An alternative solution is urgently required to reduce the crash severity in accidents due to fixed roadside objects. Such a solution can consider the appropriate places to install breakaway devices and energy-absorbing systems.

Clinical Study of Old-aged Patients in Traffic Accidents and Admitted For Emergency Treatment (도심 지역에 위치한 일개병원의 고 연령 교통사고 환자에 대한 임상적 연구)

  • Lee, Young Hwan;Song, Hyoung Gon
    • 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.

Crash Characteristics within the Bridge Influence Area of Expressway Using the Discriminant Analysis (판별분석을 이용한 고속도로 교량영향권역 교통사고 특성분석에 관한 연구)

  • Park, JeJin
    • International Journal of Highway Engineering
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    • v.16 no.6
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    • pp.149-158
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    • 2014
  • PURPOSES : The bridge section of the expressway has a worse driving environment than the general section. However, traffic safety countermeasures are focused only on the bridge section. Traffic safety countermeasures on the section before entry to the bridge and the section after exit from the bridge are applied only when the bridge has a long-span section. Accordingly, this study will verify the necessity of extending the application of traffic safety countermeasures to areas that are affected by the bridge. METHODS : This study determines the areas that are affected by the bridge as well as the areas that are affected by locations with frequent traffic accidents and suggests the risk factors by affected areas through canonical discriminant analysis. For the analysis, traffic accident data for 3 years, which occurred on bridge sections in six major expressway lines, were used. RESULTS : The numbers of traffic accidents were 469 before the bridge, 281 on the bridge, and 468 after the bridge. The variables that have impact on the seriousness of accidents are as follows: speeding, excess manipulation of the steering wheel, and failure to secure safety distance for accidents that occurred before the bridge section; speeding, excess manipulation of the steering wheel, and dozing off for accidents that occurred on the bridge; and speeding and failure to secure safety distance for accidents that occurred after the bridge section. CONCLUSIONS : Areas affected by the bridge show higher accident rates than the bridge section; therefore, imposing traffic safety countermeasures on the integrated section of the bridge and the affected areas is required. It is believed that the results suggested in this study could be effectively used in the prevention of traffic accidents by imposing custom-made safety countermeasures for each section.