• Title/Summary/Keyword: Accident Pattern

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Studying the Comparative Analysis of Highway Traffic Accident Severity Using the Random Forest Method. (Random Forest를 활용한 고속도로 교통사고 심각도 비교분석에 관한 연구)

  • Sun-min Lee;Byoung-Jo Yoon;WutYeeLwin
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.156-168
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    • 2024
  • Purpose: The trend of highway traffic accidents shows a repeating pattern of increase and decrease, with the fatality rate being highest on highways among all road types. Therefore, there is a need to establish improvement measures that reflect the situation within the country. Method: We conducted accident severity analysis using Random Forest on data from accidents occurring on 10 specific routes with high accident rates among national highways from 2019 to 2021. Factors influencing accident severity were identified. Result: The analysis, conducted using the SHAP package to determine the top 10 variable importance, revealed that among highway traffic accidents, the variables with a significant impact on accident severity are the age of the perpetrator being between 20 and less than 39 years, the time period being daytime (06:00-18:00), occurrence on weekends (Sat-Sun), seasons being summer and winter, violation of traffic regulations (failure to comply with safe driving), road type being a tunnel, geometric structure having a high number of lanes and a high speed limit. We identified a total of 10 independent variables that showed a positive correlation with highway traffic accident severity. Conclusion: As accidents on highways occur due to the complex interaction of various factors, predicting accidents poses significant challenges. However, utilizing the results obtained from this study, there is a need for in-depth analysis of the factors influencing the severity of highway traffic accidents. Efforts should be made to establish efficient and rational response measures based on the findings of this research.

An Analysis on the Spatial Pattern of Local Safety Level Index Using Spatial Autocorrelation - Focused on Basic Local Governments, Korea (공간적 자기상관을 활용한 지역안전지수의 공간패턴 분석 - 기초지방자치단체를 중심으로)

  • Yi, Mi Sook;Yeo, Kwan Hyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.1
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    • pp.29-40
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    • 2021
  • Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.

National Survey of Injury and Poisoning on a Representative Sample Population of Koreans (우리나라 대표적(代表的) 표본인구(標本人口)의 연간(年間) 손상(損傷) 및 중독발생율(中毒發生率)과 역학적(疫學的) 특성(特性))

  • Kim, Joung-Soon;Kim, Sung-Soo;Chang, Sung-Chill
    • Journal of Preventive Medicine and Public Health
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    • v.27 no.3 s.47
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    • pp.447-463
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    • 1994
  • Despite the public health importance of injury and poisoning in terms of its high mortality and incidence, epidemiologic information to be utilized are scarce in Korea. This study was carried out in 1990 on a representative sample population (about 55,000 persons) along with the 6th National Tuberculosis Prevalence Survey in order to estimate the magnitude of injury and poisoning occurrence and to identify its epidemiologic characteristics which can be aided for establishing preventive strategy. Pre-tested and structured Questionnaire was used by trained interviewer to collect data including general information of the person, various information on the injury and poisoning during the past one year such as time and place of its occurrence, its nature and external causes, type of medical institute attended, duration of treatment and outcome of the accident occured. In analysis of the data collected incidence rates per 1000 persons by sex, age group and its nature as well as external causes, and relative frequencies were calculated. The result obtained are as followings; 1. The incidence rate per 1000 was 30 for both sexes, 39 for male and 22 for female, male being 1.8 times more frequent than female. Age adjusted incidences were not much different from the crude rates. Age group specific rate curve showed bimodal shape in both sexes, small peaks in preschool children and higher peaks in older ages. The incidence rate per 1000 people by area was highest in Jeon-bug province (57/1000) and the lowest in Daegu city(11/1000). 2. The place where the injuries occured were road in 46%, within the boundary of house in 25%, and working place in 12% The injuries and poisoning had occured more frequently during the months from March to August of the year than other months. 3. The relatively frequent injuries by its nature were contusion with intact skin surface (19%), fracture of upper limb (13%), open wound of head, neck and trunk (12%) and fracture of lower limb (11%) among males; contusion with intact skin surface (28%), sprains and strains of joints and adjacent muscle (14%), fracture of upper limb (10%) and fracture of lower limb (9%) among females. Higher incidence rate among males than females were fracture of skull (4.5 times), open wound and fractures of limbs ($2{\sim}3$ times). Age specific rate of injuries and poisoning by its nature showed increasing pattern by age in fractures of upper and lower limbs and sprains & strains of joints whereas the age group of 30's showed highest incidence in open wounds of upper limb. Fractures of radius and ulna in upper limb, fractures of tibia & fibula and ankle in lower limb were most frequent among fractures of upper and lower limbs. The frequent injuries among sprains and strains of joints and adjacent muscles were that of ankle, foot and back, and among open wound were that of head and fingers. 4. Relative frequency of injuries and poisoning by external causes showed following order : other accidents (25%), accidental falls (23%), motor vehicle accident (22%) and other road vehicle accident (14%) among males and accidental falls (37%), motor vehicle accident (24%) and other accident (18%) among females. The external causes revealing higher incidences among males than females, were other road vehicle accident (4.8 times), vehicle accident not elsewhere classifiable (4.4 times), accidental poisoning (4.4 times), accidents due to natural and environmental factors (2.8 times), and sucide & self-inflicted injuries (2.8 times). Age specific incidence by external causes for frequent injuries showed that incidence of other accident steadily increased from 10's till age 50's; motor vehicle traffic accident increased from age 20's and dropped after age 60's; on the other hand accidental fall increased strikingly by age. The most frequent external causes among motor vehicle traffic accidents was motor vehicle traffic accident involving collision with pedstrain (69%), pedal cycle accident (30%) and other road vehicle accident (71%) among other road vehicle accidents; falls on same level from slipping, tripping or standing (44%) and other falls from one level to another among accidental falls; accidents caused by machinary (32%) for male and striking against or struck accidentally by objects or person for female among other accidents. 5. Seventy nine percent of the injuries and poisonings were treated in general hospital or hospital/clinic. The duration of treatment ranged from a few days to 123 weeks; the majority(52%) took under 2 weeks, 36% for $3{\sim}8$ weeks and 4% over 21 weeks. 6. The accident resulted in full recovery of normal healthy state in 62%, residual functional defects in 21% and on process of treatment in 16%.

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Partial Discharge Distribution Characteristics along Defect of CNC Cable (배전급 CNC케이블의 결함 종류에 따른 부분방전 분포특성)

  • Yoon, Jae-Hun;Kang, Seung-Hwa;Choi, Han-Sick;Lim, Gee-Jo
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2010.06a
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    • pp.102-102
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    • 2010
  • A purpose of this paper is to recognize partial discharge pattern for cable insulation. The classification of PD sources was widely studied for two decades. this research sought to use the partial discharge detection method, and to diagnose the interface of cable, which is deemed vulnerable of cable systems. A research abalyzed faults that can occur in the interface of cable joint as well as accident mechanisms, manufactured test 22.9kV CNC cable, invented artificial faults and carried out partial discharge detection experiments. As a result, various PD pattern along defect measured and distinguished.

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Analysis of the Inner Degradation Pattern by Clustering Algorism at Distribution Line (군집화 알고리즘을 이용한 배전선로 내부 열화 패턴 분석)

  • Choi, Woon-Shik;Kim, Jin-Sa
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.29 no.1
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    • pp.58-61
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    • 2016
  • Degradation in power cables used in distribution lines to the material of the wire, manufacturing method, but also the line of the environment, generates a variety of degradation depending upon the type of load. The local wire deterioration weighted wire breakage accident can occur frequently, causing significant proprietary damage can lead to accidents and precious. In this study, the signal detected by the eddy current aim to develop algorithms capable of determining the signals for the top part and at least part of the signal by using a signal processing technique called K-means algorithm.

Loading pattern design and economic evaluation for 24-month cycle operation of OPR-1000 in Korea

  • Jeongmin Lee;Hyun Chul Lee
    • Nuclear Engineering and Technology
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    • v.55 no.3
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    • pp.1167-1180
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    • 2023
  • Due to the tightened regulatory environment since the Fukushima accident, the capacity factor of Korean nuclear power plants has been declining since 2011. To overcome this circumstance, a shift from 18-month to 24-month cycle operation is being considered in Korea. Therefore, in this study, loading patterns(LPs) for 24-month cycle operation of the Korean standard nuclear power plant(OPR-1000) are suggested and economic evaluations are performed. A single-zone LP with 89 fresh fuels was evaluated to be optimal for 24-month operation of OPR-1000 in terms of economic gain. The 24-month operation of OPR-1000 with this LP gives a profit of 7.073 million dollars per year compared to 18-month operation.

Numerical study on the gaseous radioactive pollutant dispersion in urban area from the upstream wind: Impact of the urban morphology

  • Shuai Wang;Xiaolei Zheng;Jin Wang;Jianzhi Yang
    • Nuclear Engineering and Technology
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    • v.56 no.6
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    • pp.2039-2049
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    • 2024
  • The radioactive pollutant could migrate to the downstream urban area under the action of atmospheric dispersion due to the turbulent mixing under actual pollution accidents. A scenario in which radioactive contaminants from the upstream (for example, a nearshore nuclear power plant accident) migrates to the downstream urban blocks have been considered in this study. Numerical simulations using computational fluid dynamics (CFD) are then conducted to investigate the effects of the urban morphology (building packing density and layout) on the atmospheric dispersion of radioactive pollutants in this scenario. The building packing density and structure can significantly affect urban areas' mean flow pattern and the turbulent kinetic energy (TKE). The flow pattern and the TKE distribution influence the radioactive pollution dispersion. It is found that the radioactive pollution at the urban canyons is significantly affected by the vertical transport at the canyon. A comparison of the distributions of radioactive and traditional non-radioactive pollutants is also provided.

The Effect of Safety Education on Accident Proneness Prospect in Preschooler (안전교육이 학령전기 아동의 사고경향 예측에 미치는 효과)

  • Kim Shin Jeong;Lee Jung Eun
    • Child Health Nursing Research
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    • v.6 no.3
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    • pp.372-386
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    • 2000
  • The purpose of this study was to provide basic data on preschool children for accident prevention and improve their health through sound, safe living environment with safety education established through more systematic method. Data were collected from 300 preschoolers(150 preschooler are assigned to experimental group and 150 preschoolers are assigned to control group) from 4 to 6 years old using APP paper test which consists of questions and drawings. To experimental group, safety education were done 4 times within the time of 30 minutes per 1 time using education books, video, OHP, slide. The findings of this study are as follows: 1. There were significant difference in behavioral character between experimental group and control group(χ2=11.690, p= 0.003). So, safety education have effect on the behavioral character of preschooler. 2. In the accident proneness on preschooler between experimental group and control group according to general characteristics, it proved significant difference in the case of accident prevention education were done, movement stability(χ2=8.844, p=0.012) and behavioral character(χ2=6.699, p=0.035), in the case of housing pattern is mixed-type, behavioral character(χ2=10.37, p=0.006), in the case of subjects' age is 4 years old, watchfulness(χ2=9.525, p=0.009), in the case of subjects' age is 5 years old, behavioral character(χ2=7.324, p=0.026), in the case of children's order is second, behavioral character(χ2=14.31, p=0.001), in the case of children's sex is boy, living safety(χ2=7.981, p=0.018), movement speed (χ2=6.661, p=0.036), bihavioral character(χ2=8.837, p=0.012), in the case of children's sex is girl, reasoning power(χ2 =9.78, p=0.008), in the case of childrens have no past accidental experience, behavioral character(χ2=9.862, p=0.007), in the case of nuclear family, movement speed(χ2=6.341, p=0.042) and behavioral character(χ2=9.326, p=0.009), in the case of mothers' age is under thirty behavioral character(χ2=16.40, p=0.000), in the case of mothers' school career is under high school graduate, behavioral character(χ2 =8.375, p=0.015), in the case of mothers' school career is beyond college graduate, reasoning power(χ2=9.803, p=0.007) and behavioral character(χ2=6.205, p=0.045), in the case of mothers' job is part time, movement speed(χ2=10.99, p=0.004), in the case of mothers have no job, movement stability(χ2=8.490, p=0.014) and behavioral character(χ2=10.11, p=0.006). The difference of accident proneness between experimental group and control group according to general characteristics, it also showed that there were significant difference in behavioral character compared to other area.. From this findings, we can guess that safety education change and guide preschoolers' behavioral character to desirable direction.

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Enhancement of Fall-Detection Rate using Frequency Spectrum Pattern Matching

  • Lee, Suhwan;Oh, Dongik;Nam, Yunyoung
    • Journal of Internet Computing and Services
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    • v.18 no.3
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    • pp.11-17
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    • 2017
  • To the elderly, sudden falls are one of the most frightening accidents. If an accident occurs, a prompt action has to be taken to deal with the situation. Recently, there have been a number of attempts to detect sudden falls using acceleration sensors embedded in the mobile devices, such as smart phones and wrist-bands. However, using the sensor readings only, the detection rate of the falls is around 65%. Ordinary daily activities such as running or jumping could not be well distinguished from the falls. In this paper, we describe our attempts on improving the fall-detection rate. We implemented a wrist-band fall detection module, using a three-axis acceleration sensor. With the pattern matching on the fall signal-strength frequency spectrum, in addition to the conventional signal strength measurement, we could improve the detection rate by 9% point. Furthermore, by applying two wrist-bands in the experiment, we could further improve the detection rate to 82%.

Characteristics of Ship Movements in a Fairway

  • Kim, Eun Kyung;Jeong, Jung Sik;Park, Gyei-Kark;Im, Nam Kyun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.4
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    • pp.285-289
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    • 2012
  • In a coastal area, all of the vessels are always exposed to the potential risk, taking into the maritime accident statistics account over the last decades. To manage vessels underway safety, the characteristics of ship movements in a fairway should be recognized by VTS system or VTS operators. The IMO has already mandated the shipboard carriage of AIS since 2004, as stated in SOLAS Chapter V Regulation 19. As a result, the static and dynamic information of AIS data has been collected for vessel traffic management in the coastal areas and used for VTS. This research proposes a simple algorithm of recognizing potentially risky ships by observing their trajectories on the fairway. The static and dynamic information of AIS data are collected and the curvature for the ship trajectory is surveyed. The proposed algorithm finds out the irregularity of ship movement. The algorithm effectively monitors the change of navigation pattern from the curvature analysis of ship trajectory. Our method improves VTS functions in an intelligent way by analyzing the navigation pattern of vessels underway.