• Title, Summary, Keyword: Traffic accidents

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Design for AEBS Test Scenario Applying Domestic Traffic Accidents

  • Choi, Yong-Soon;Lim, Jong-Han
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.1-7
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    • 2020
  • This study is a study on the development of AEBS test scenarios for traffic accidents in Korea, and was compared and analyzed using the Traffic Accident Analysis Program. To ensure the safety of passengers and pedestrians in traffic accidents, the number of cars equipped with ADAS is increasing rapidly at all car manufacturers in each country. For traffic accidents used in this study, the domestic traffic accident database (ACCC) produced by SAMSONG was used. Domestic traffic accidents differ from overseas traffic accidents in terms of road type, signal system, driver's seat location and number of vehicles. ACCC databases, which supplemented and reinforced these differences, built a database based on the PC-CRASH program. In the study, we analyze the types of accidents to develop comparative scenarios for each type of road and collision type of traffic accidents. When the road types of traffic accidents in Korea were divided into five types and the collision types were divided into six, it was confirmed that the most types of FRONT-SIDE crashes appeared at the intersection. It is expected that the frequency of possible traffic accidents and collision types can be predicted according to the road type in the accident database, we that it can be used as an AEBS test scenario development suitable for the domestic road environment.

Study on Traffic Accidents Characteristics by using Driver and City Characteristics (로지스틱 회귀분석을 이용한 개인 및 도시 특성에 기반한 교통사고 연구)

  • Jang, Jae Min;Lee, Soong Bong;Lee, Young Ihn
    • International Journal of Highway Engineering
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    • v.20 no.2
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    • pp.97-107
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    • 2018
  • PURPOSES : The effects on traffic accidents change with the changing environment. Accordingly, this study analyzes the characteristics of traffic accidents based on the personal characteristics (gender and age) of drivers, and those of 25 autonomous districts in Seoul, and suggests improvements. METHODS : Based on data pertaining to traffic accidents in Seoul, the analysis of accident characteristics was conducted by categorizing the types of traffic accidents according to the drivers' gender and age, and characteristics of 25 autonomous districts in Seoul. Further, for statistical verification, the SPSS software was used to derive influence variables through a multinomial logistic regression analysis, and a method for reducing traffic accidents was proposed. RESULTS : Analysis results show that males tend to be more involved in speed-related accidents and females in low-experience driving-related accidents such as those during parking and alleyway driving. In addition, variables such as age, automobile type, district, and day of the week are found to influence accident types. CONCLUSIONS : This study analyzed the accident characteristics based on personal and city characteristics to reflect the sociological characteristics that influence traffic accidents. The number of traffic accidents in Korea could be decreased drastically by implementing the results of this study in customized safety education and traffic maps.

A Study on the Typical Patterns of Traffic Accident Lots and Establishment of Acknowledgement Model of their Causes and Preference Model to Decrease Traffic Accidents (교통사고 발생지점의 유형화와 원인인지.감소대책 선호모델 구축에 관한 연구)

  • 고상선;오석기
    • Journal of Korean Society of Transportation
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    • v.13 no.1
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    • pp.35-62
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    • 1995
  • Traffic has a very important function but has caused such social problems as traffic congestion parking and traffic accidents in metropolitan areas. It is difficult to examine the causes of traffic accidents related to human life, which occur by human, vehicle and environmental factors. But human factor is the only measure requlating these factors together an analyzing factors influencing establishment of counterplan of traffic accidents. Consequently , this study employs the principal component analysis and stepwise multiple regression analysis to estimate the characteristics and influential factors of traffic accidents and defines the typical patterns of happening lots of traffic accidents. Accordingly, this study establishes an acknowledgement model of the causes and preference model of the counterplan of traffic accidents using Multi-Dimension Preference(MDPREF) method.

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The Effects of Individual Accidents and Neighborhood Environmental Characteristics on the Severity of Pedestrian Traffic Accidents in Seoul (개별 사고특성 및 근린환경 특성이 서울시 보행자 교통사고 심각도에 미치는 영향)

  • Ko, Dong-Won;Park, Seung-Hoon
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.8
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    • pp.101-109
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    • 2019
  • Korea's transportation paradigm is shifting from a vehicle-oriented transportation plan to a pedestrian-friendly environment that emphasizes walking safety. However, the level of pedestrian traffic accidents in Korea is still high and serious. The purpose of this study is to investigate factors affecting the severity of pedestrians traffic accidents using the multilevel logistic regression model based on 2015-2017 pedestrian accidents data provided by the Traffic Accident Analysis System(TAAS). The main results of the multilevel logistic regression model showed that 89% of pedestrian traffic accidents in Seoul were explained by individual characteristics such as drivers and pedestrians, and 11% were explained by neighborhood environmental characteristics. The results are as follows : In the individual characteristics such as pedestrians and drivers, the older the pedestrians and the drivers, the higher the traffic accident severity. The severity of traffic accidents was high when the pedestrians were female and the drivers were male. In the case of accident types, traffic accidents were more serious in the cases of heavy vehicles, inclement weather, and occurring at intersections and crosswalks. The results of the neighborhood environmental characteristics are as follows. The intersection density and the crosswalk density tended to reduce the severity of traffic accidents. On the other hand, the traffic light density and the school zones were founded to related to the higher level of traffic accident severity. This study suggests that both individual and neighborhood environmental characteristics should be considered together to prevent and reduce the severity of pedestrian traffic accidents.

A Visualization of Traffic Accidents Hotspot along the Road Network (도로 네트워크를 따른 교통사고 핫스팟의 시각화)

  • Cho, Nahye;Jun, Chulmin;Kang, Youngok
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.1
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    • pp.201-213
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    • 2018
  • In recent years, the number of traffic accidents caused by car accidents has been decreasing steadily due to traffic accident prevention activities in Korea. However, the number of accidents in Seoul is higher than that of other regions. Various studies have been conducted to prevent traffic accidents, which are human disasters. In particular, previous studies have performed the spatial analysis of traffic accidents by counting the number of traffic accidents by administrative districts or by estimating the density through kernel density method in order to identify the traffic accident cluster areas. However, since traffic accidents take place along the road, it would be more meaningful to investigate them concentrated on the road network. In this study, traffic accidents were assigned to the nearest road network in two ways and analyzed by hotspot analysis using Getis-Ord Gi* statistics. One of them was investigated with a fixed road link of 10m unit, and the other by computing the average traffic accidents per unit length per road section. As a result by the first method, it was possible to identify the specific road sections where traffic accidents are concentrated. On the other hand, the results by the second method showed that the traffic accident concentrated areas are extensible depending on the characteristic of the road links. The methods proposed here provide different approaches for visualizing the traffic accidents and thus, make it possible to identify those sections clearly that need improvement as for the traffic environment.

A Study on Development of Forecasting Model for Traffic Accident in Korea (한국의 교통사고예측모형 개발에 관한 연구)

  • 이일병;임헌정
    • Journal of Korean Society of Transportation
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    • v.8 no.1
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    • pp.73-88
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    • 1990
  • This study aims to develop a traffic accident forecasting model using the data, which are based on the past accidents in Korea. The regression analysis was used in conjuction with the variables of the traffic accidents and social behaviours. The objectives of this study are as follows; 1. The number of behicles has given a strong affect to increase the traffic accidents in Korea since a factor of vehicles has shown 86% over of total accidents. 2. The forecasting model regarding the traffic accidents, deaths and injuries, which was formulated for this study, proved to be useful in light of the results of the regression diagnostics. 3. It is expected that the traffic accidents in Korea in 1991 may take place as follows on condition that the traffic environment would worsen ; 274,000 cases of accidents with 13,600 deaths and 367,000 injuries, in 1994, 451,000 cases with 24,900 deaths and 71,500 injuries respectively.

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Traffic Safety Problems and Improvement Measures through Child Traffic Accident Case in Apartment Complex (아동 교통사고 사례분석을 통한 교통안전 문제점과 개선방안 - 아파트 단지 내 교통사고 중심으로 -)

  • Kim, Shin Hye;Yim, Dong-Kyun
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.623-634
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    • 2020
  • The purpose of this study is to suggest improvement measures focusing on traffic accidents in apartment complexes that occur to children among life safety accidents. Roads in most apartment complexes are not "roads" under the Road Traffic Act. In addition, there is no mandatory punishment or regulations, so the perception of the danger of traffic accidents in apartment complexes is very low. Recent, traffic in automobiles and motorcycles is increasing in the apartment complex, and traffic accidents are frequently occurring due to low safety awareness for both drivers and pedestrians. Accordingly, this study attempted to identify cases of traffic accidents in children's apartment complexes and to present problems and improvement measures for accidents. Problems of traffic accidents through child traffic accidents The current affairs are meaningful in that they are aware of dangers to children, carers, and drivers, and suggest traffic safety measures in apartment complexes.

A Study on Clarifying Relationship between the Traffic Culture Index and Traffic Accidents Using Structural Equation Model (구조방정식을 이용한 교통문화지수와 교통사고 발생의 영향관계 규명에 관한 연구)

  • Park, Woongwon;Joo, Sungkab;Lim, Joonbeom;Lee, Soobeom
    • Journal of The Korean Society of Civil Engineers
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    • v.34 no.5
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    • pp.1571-1579
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    • 2014
  • 93% of road traffic accidents result from drivers' fault and Korea has the largest number of deaths from traffic accidents among the OECD members. For this reason, the country is measuring Traffic Culture Index (TCI) in each city, gun and gu annually to improve traffic safety policies and promote safety consciousness, but the influencing relation between TCI and actual traffic accidents is only based on the assumptions and no verification has been carried out, yet. Therefore, this study aims to verify if in reality, TCI represents the traffic culture level and has an influencing relation with traffic accidents and to suggest an improvement plan of research on the present state of TCI, based on the result. For this purpose, bases on data of the report about the present state of TCI from 2010 to 2012, and the influencing relation between the number of traffic accidents and the number of deaths from traffic accidents was analyzed through structural equation model. For influencing relation analysis through structural equation, research 1 to analyze the relation among TCI in each city, gun and gu, the number of traffic accidents and the number of deaths, and research 2 to analyze the influencing relation of the increase in TCI, the number of traffic accidents and the number of deaths were carried out. When verifying the influencing relation with traffic accidents through structural equation, the goodness of fit of the model was low in research 1 and as TCI increased, the number of accidents and deaths decreased in research 2 and thus the effect of TCI was verified.

A Factor Analysis of Traffic Accidents Through Traffic Safety Diagnosis Results - Driver Factor - (교통안전진단 결과분석을 통한 교통사고 요인분석 - 사고자 요인을 중심으로 -)

  • Lee, Hwan-Seung;Ahn, Byung-Jun
    • Journal of the Korean Society of Safety
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    • v.21 no.2
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    • pp.128-137
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    • 2006
  • Traffic accidents occur due to complex influences of transportation companies, drivers, and road environment. This study found that education and surroundings for transportation companies, driving habits of drivers, and road safety facilities and accessory facilities were main factors that affected strongly traffic accidents. Also, it found that driving habits of drivers could affect accidents heavily more than two other factors. Road safety and accessory facilities were analysed that they affected traffic accidents independently with transportation companies and their own drivers. Therefore, in order to achieve a traffic accident prevention as our main target, those companies need to produce atmosphere that their own drivers can have safety awareness, and related institutions for the above target should run parallel with policy assistance and strict traffic enforcement. In the end, this study suggests that transportation companies should secure manpower wholly being charged with traffic safety and financial resources investing in it.

Predictive Analysis of Traffic Accidents caused by Negligence of Safe Driving in Elderly using Seasonal ARIMA (계절 ARIMA 모형을 이용한 고령운전자의 안전운전불이행에 의한 교통사고건수 예측분석)

  • Kim, Jae-Moon;Chang, Sung-Ho;Kim, Sung-Soo
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.40 no.1
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    • pp.65-78
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    • 2017
  • Even though cars have a good effect on modern society, traffic accidents do not. There are traffic laws that define the regulations and aim to reduce accidents from happening; nevertheless, it is hard to determine all accident causes such as road and traffic conditions, and human related factors. If a traffic accident occurs, the traffic law classifies it as 'Negligence of Safe Driving' for cases that are not defined by specific regulations. Meanwhile, as Korea is already growing rapidly elderly population with more than 65 years, so are the number of traffic accidents caused by this group. Therefore, we studied predictive and comparative analysis of the number of traffic accidents caused by 'Negligence of Safe Driving' by dividing it into two groups : All-ages and Elderly. In this paper, we used empirical monthly data from 2007 to 2015 collected by TAAS (Traffic Accident Analysis System), identified the most suitable ARIMA forecasting model by using the four steps of the Box-Jenkins method : Identification, Estimation, Diagnostics, Forecasting. The results of this study indicate that ARIMA $(1, 1, 0)(0, 1, 1)_{12}$ is the most suitable forecasting model in the group of All-ages; and ARIMA $(0, 1, 1)(0, 1, 1)_{12}$ is the most suitable in the group of Elderly. Then, with this fitted model, we forecasted the number of traffic accidents for 2 years of both groups. There is no large fluctuation in the group of All-ages, but the group of Elderly shows a gradual increase trend. Finally, we compared two groups in terms of the forecast, suggested a countermeasure plan to reduce traffic accidents for both groups.