• Title/Summary/Keyword: Traffic Accident Statistics

Search Result 96, Processing Time 0.023 seconds

The effect of road weather factors on traffic accident - Focused on Busan area - (도로위의 기상요인이 교통사고에 미치는 영향 - 부산지역을 중심으로 -)

  • Lee, Kyeongjun;Jung, Imgook;Noh, Yunhwan;Yoon, Sanggyeong;Cho, Youngseuk
    • Journal of the Korean Data and Information Science Society
    • /
    • v.26 no.3
    • /
    • pp.661-668
    • /
    • 2015
  • Them traffic accidents have been increased every year due to increasing of vehicles numbers as well as the gravitation of the population. The carelessness of drivers, many road weather factors have a great influence on the traffic accidents. Especially, the number of traffic accident is governed by precipitation, visibility, humidity, cloud amounts and temperature. The purpose of this paper is to analyse the effect of road weather factors on traffic accident. We use the data of traffic accident, AWS weather factors (precipitation, existence of rainfall, temperature, wind speed), time zone and day of the week in 2013. We did statistical analysis using logistic regression analysis and decision tree analysis. These prediction models may be used to predict the traffic accident according to the weather condition.

Predicting traffic accidents in Korea (국내 교통사고 예측)

  • Yang, Hee-Joong
    • Journal of the Korea Safety Management & Science
    • /
    • v.13 no.1
    • /
    • pp.91-98
    • /
    • 2011
  • We develop a model to predict traffic accidents in Korea. In contrast to the classical approach that mainly uses regression analysis, Bayesian approach is adopted. A dependent model that incorporates the data from different kinds of accidents is introduced. The rate of severe accident can be updated even with no data of the same kind. The data of minor accident that can be obtained frequently is efficiently used to predict the severe accident.

Analysis for Traffic Accident of the Bus with Advanced Driver Assistance System (ADAS) (첨단안전장치 장착 버스의 사고사례 분석)

  • Park, Jongjin;Choi, Youngsoo;Park, Jeongman
    • Journal of Auto-vehicle Safety Association
    • /
    • v.13 no.3
    • /
    • pp.78-85
    • /
    • 2021
  • Recently a traffic accident of heavy duty vehicles under the mandatory installation of ADAS (Advanced Driver Assistance System) is often reported in the media. Heavy duty vehicle accidents are normally occurring a high number of passenger's injury. According to report of Insurance Institute for Highway Safety, FCW (Forward Collision Warning) and AEB (Automatic Emergency Braking) were associated with a statistically significant 12% reduction in the rate of police-reportable crashes per vehicle miles traveled, and a significant 41% reduction in the rear-end crash rate of large trucks. Also many countries around the world, including Korea, are studying the effects of ADAS installation on accident reduction. Traffic accident statistics of passenger vehicle for business purpose in TMACS (Traffic safety information Management Complex System in Korea) tends to remarkably reduce the number of deaths due to the accident (2017(211), 2018(170), 2019(139)), but the number of traffic accidents (2017(8,939), 2018(9,181), 2019(10,095)) increases. In this paper, it is introduced a traffic accident case that could lead to high injury traffic accidents by being equipped with AEB in a bus. AEB reduces accidents and damage in general but malfunction of AEB could occur severe accident. Therefore, proper education is required to use AEB system, simply instead of focusing on developing and installing AEB to prevent traffic accidents. Traffic accident of AEB equipped vehicle may arise a new dispute between a driver's fault and vehicle defect. It is highly recommended to regulate an advanced event data recorder system.

Development of Traffic Accident Forecasting Models Considering Urban-Transportation System Characteristics (토지이용 및 교통특성을 반영한 교통사고 예측모형 개발 연구)

  • Park, Jun-Tae;Jang, Il-Jun;Son, Ui-Yeong;Lee, Su-Beom
    • Journal of Korean Society of Transportation
    • /
    • v.29 no.6
    • /
    • pp.39-56
    • /
    • 2011
  • This study proposed a traffic accident prediction model developed based on administrative districts of Seoul. The model was to find the relationship between accident rates and the representative land usage of the districts (development density) - the higher the development density (building floor area) is, the higher the traffic accident rate is. The findings showed that traffic accident statistics differ from (1) residential building floor area, (2) commercial building floor area and (3) business building floor area.

A Study on the Classification of the Car Accidents Types based on the Negligence Standards of Auto Insurance (자동차보험 과실기준 기반 자동차사고유형 체계화에 관한 연구)

  • Park, Yohan;Park, Wonpil;Kim Seungki
    • Journal of Auto-vehicle Safety Association
    • /
    • v.13 no.4
    • /
    • pp.53-59
    • /
    • 2021
  • According to the Korean Traffic Accident Analysis System (TAAS), more than 200,000 traffic accidents occur every year. Also, the statistics including auto insurance companies data show 1.3 million traffic accidents. In the case of TAAS, the types of traffic accidents are simply divided into four; frontal collision, side collision, rear collision, and rollover. However, more detailed information is needed to assess for advanced driver assist systems at intersections. For example, directional information is needed, such as whether the vehicle in the car accident way in a straight or a left turn, etc. This study intends to redefine the type of accident with the more clear driving direction and path by referring to the Negligence standards used in automobile insurance accidents. The standards largely divide five categories of car-to-car/motorcycle /pedestrian/cyclist, and highway, and the each category is classified into dozens of types by status of the traffic signal, conflict situations. In order to present more various accident types for auto insurance accidents, the standards are reclassified driving direction and path of vehicles from crash situations. In results, the car-to-car accidents are classified into 33 accident types, car-to-pedestrian accidents have 19 accident types, car-to-motorcycle accidents have 38 accident types, and car-to-cyclist accidents are derived into 26 types.

Factors Affecting Traffic Accident Occurrence Rate (교통사고율에 영향을 미치는 요인 분석)

  • Im, Seon-Ho;Park, Eun-Mi;Jang, Hyeon-Bong
    • Journal of Korean Society of Transportation
    • /
    • v.27 no.4
    • /
    • pp.41-53
    • /
    • 2009
  • For 5 years and 6 months, ranging from January 2003 to June 2008, SPSS 12.0 Statistical Program was used to analyze the overall analysis, analysis of center line encroachment, analysis of signal violations, analysis of drinking while intoxicated, analysis of driving without license, analysis of two-wheel vehicle, analysis of pedestrian, analysis of safety equipment, analysis of traffic publicity or education and automobile registration accounts, and casualty of traffic accidents that are determined as having statistical implication based on the statistics available from the policy to take a look at traffic accident in the Daejeon area, and there were some meaningful results. With the proof that there is a certain level of ratio for the correlations between traffic control and traffic accident that the effect of traffic control has shown with certain time interval. The relationship of traffic control and the casualty of traffic accident has very low coefficient of correlations that it is not statistically noticeable that traffic control of the police has almost no effect in preventing traffic accident. This is a display of the fact that the conversion of direction for traffic safety measure undertaken to this point is rather urgent that there is a dire need of establishing the effective alternatives.

The Study on the Development of Analysis and Management System for Traffic Accident Spatial DB (교통사고 공간 DB관리 및 분석 시스템 개발에 관한 연구)

  • Yu Ji Yeon;Jeon Jae Yong;Jeon Hyeong Seob;Cho Gi Sung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.23 no.4
    • /
    • pp.345-352
    • /
    • 2005
  • In up-to-date information anger time it is caused by with business of traffic accident control and analysis and two time it accomplishes a business. National Police Office which controls a traffic accident does not execute an up-to-date technique. And, it is working yet by the hand, There is to traffic accident analysis and the research regarding the analysis against the research which it follows in geography element and composition element and an accident cause is weak. Consequently, effectively establishment and it enforces a traffic safety policy and from the hazard which it evaluates traffic accident data the system and scientific analysis against a traffic accident occurrence cause and a feature in basic must become accomplished. The research which it sees constructs a traffic accident data in GIS base. It is like that, it uses the PDA where is not the collection of data of text form in existing and at real-time it converts store and an accident data rightly in standard traffic accident data form and it will be able to manage. It was related with a space data peculiarity and the research regarding the system development with the geography analysis data about an accident cause under manifesting it accomplished.

Analysis of the Characteristic of Railroad(level-crossing) Accident Frequency (철도 건널목 사고의 발생빈도 특성분석 연구)

  • Park, Jun-Tae;Kang, Pal-Moon;Park, Sung-Ho
    • Journal of the Korean Society of Safety
    • /
    • v.29 no.2
    • /
    • pp.76-81
    • /
    • 2014
  • Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.

Analysis of Road Cross Section Component Affecting Traffic Accident Severity on National Highway (국도상 교통사고 심각도에 영향을 미치는 횡단구성 요소 분석)

  • Park, Jaehong;Yun, Dukgeun
    • Journal of the Korean Society of Safety
    • /
    • v.32 no.6
    • /
    • pp.143-149
    • /
    • 2017
  • According to traffic accidents statistics, the number of fatalities, injuries and the rate of increase of traffic accidents have been decreasing over last 5-years. The fatality rate is 1.9 for total accidents but the fatality rate for single vehicle accidents shows a 7.9, which is 4 times greater than the average for all accidents. Single vehicle accidents, usually occur as a vehicle impacts a fixed objects on the roadside as the vehicle runs-off from the road. However, few researches have been conducted considering the accident severity of single vehicle accidents which impact to the fixed objects on the road. The single vehicle accident is directly related to the composition of road cross section, (since it is the required the minimum width of a road for all run-off-the-road vehicles to recover or come to a safe stop). Therefore, this study analyzes the influence of road cross section on traffic accidents to find out the severity of single vehicle accident. To analyze the road elements which are related to the accident severity, the Ordered Probit Model was used. As variables, the element of road cross section such as the radius(m), vertical curve(%), cross sectional grade(%), road width(m). number of climbing lane, median, and curb, were used (as was the 3-years of accidents data). This study found out that cross slope(%), road width(m), and the number of climbing lane are related to the severity of accident. The result of this study could be expected to improve the road safety and to be used as the base data for further road safety research.

The Study on Correlation between Traffic Accident Severity with Period and Cost of Treatment in Traffic Accident Outpatients Visiting a Korean Medicine Hospital (한방병원에 내원한 교통사고 외래환자에 있어서 사고규모와 치료기간 및 치료비용 간의 상관관계에 대한 연구)

  • Park, Ji-Yong;Hong, Nam-Jung;Lee, Min-Jung;Ahn, Ji-Hoon;Shin, You-Bin;Kim, Byung-Jung;Shin, Min-Geun;Ha, In-Hyuk;Lee, Jin-Ho
    • Journal of Korean Medicine Rehabilitation
    • /
    • v.24 no.1
    • /
    • pp.65-76
    • /
    • 2014
  • Objectives The purpose of this study is to investigate the corelation between traffic accident severity and treatment period and cost by traffic accident. Methods Outpatients who visited Jaseng Korean medicine hospital traffic accident clinic were investigated by hospital computer system about period and cost of treatment. And we requested for repair cost of car, a sort of car groups and agreement date with car insurance company to insurance company. Therefore we could analysis statistical correlation of traffic accident severity (repair cost of car) with period of treatment, cost of treatment, number of treatment in same sort of car groups. For statistics, we used SPSS version 18.0 for windows. Results A significant positive correlation was found between traffic accident severity (repair cost of car) with repair cost of car, cost of treatment and number of treatment in semi-midsize car, midsize car group. But, any significant correlation wasn't found between traffic accident severity (repair cost of car) with repair cost of car, cost of treatment and number of treatment in small car, full-sized car group. In SUV (sport utility vehicle) car group some significant correlation was found, but it isn't between traffic accident severity (repair cost of car) with repair cost of car, cost of treatment and number of treatment. Conclusions It was found that traffic accident severity (repair cost of car) had an effect on cost of car, cost of treatment and number of treatment by statistical analysis. But, it was also suggested strongly that other factors like a cost of car and ages had an effect on them.