• International journal of advanced smart convergence
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• 제9권4호
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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.

• 한국도로학회논문집
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• 제20권2호
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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.

• 대한교통학회지
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• 제13권1호
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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.

• 대한건축학회논문집:계획계
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• 제35권8호
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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.

• 대한교통학회지
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• 제8권1호
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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.

• 지적과 국토정보
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• 제48권1호
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• pp.201-213
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• 2018

최근 우리나라의 경우 교통사고 예방활동으로 자동차 보유에 따른 교통사고 발생건수는 지속적으로 감소하고 있지만, 서울의 경우 다른 지역에 비해 자동차 1만대 대비 사고 건수는 전국에서 광주와 함께 가장 높게 나타나고 있다. 인적 재난인 교통사고를 예방하기 위한 다양한 연구들이 진행되어 왔다. 특히 교통사고에 대한 공간적 분석을 연구한 초기 연구들은 교통사고 클러스터 지역을 확인하기 위해 행정구역 별 교통사고 건수를 집계하거나, 커널밀도 방법을 통해 밀도를 추정하여 분석하는 경우가 다수를 이루었다. 그러나 교통사고는 도로를 따라 발생하는 사건이기 때문에 도로상에서 교통사고 다발구간을 찾는 것이 더 의미가 있을 수 있다. 따라서 본 연구는 도로 네트워크를 따라 교통사고 집중 지역을 찾고자 하였다. 본 연구에서는 2가지 방법으로 교통사고를 가장 가까운 도로 네트워크에 할당한 뒤, Getis-Ord $Gi^*$에 의한 핫스팟 분석을 통해 교통사고 다발구간을 분석하였다. 하나는 10m 단위의 일정한 도로 링크를 중심으로 분석을 수행하였으며, 다른 하나는 도로구간별 단위 길이 당 평균 교통사고를 계산하여 교통사고 밀집구간을 분석하였다. 첫 번째 방법에 의한 분석 결과 교통사고가 집중되는 특정 도로 구간을 명확하게 확인할 수 있는 반면, 두 번째 방법에 의한 분석 결과 도로링크의 특성에 따라 교통사고 집중지역이 길게 나타나는 특징을 확인할 수 있었다. 두 방법에 의한 교통사고 다발구간이 다르게 나타나는 것을 알 수 있으며, 향후 해당 지역의 교통환경을 분석하고 개선하기 위해서는 보다 명확한 구간을 파악하는 것이 유의미할 수 있다.

• 한국콘텐츠학회논문지
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• 제20권5호
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• pp.623-634
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• 2020

이 연구는 생활안전 교통사고 중 취약계층인 아동들에게 발생하는 아파트단지 내 교통사고를 중심으로 사고발생의 문제점과 개선방안을 제시하는 데 그 목적이 있다. 현재 아파트단지 내는 자동차, 오토바이, 전동킥보드 등의 주행이 많아지고 운전자와 보행자의 안전인식이 낮음에 따라 교통사고 발생이 빈번해지고 있다. 그러나 대부분의 아파트단지 내 도로는 도로교통법 상 '도로'에 해당되지 않는 도로 외 구역으로 처벌이나 법규가 의무화되어 있지 않음에 따라 아파트 단지 내 교통사고 위험성 인식이 매우 미흡한 실정이다. 이에 따라 본 연구에서는 아동 아파트단지 내 교통사고 사례를 파악하고 사고발생에 대한 문제점과 개선방안을 제시하고자 하였다. 아동 교통사고 사례를 통한 교통사고의 문제점 시사는 아동과 보호자 그리고 운전자들에게 위험을 인지시키고, 아파트 단지 내 교통안전 방안을 제시한다는 점에 의의가 있다.

• 대한토목학회논문집
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• 제34권5호
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• pp.1571-1579
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• 2014

도로교통사고 발생원인의 93%는 운전자에 의해 발생하며, 우리나라의 교통사고 사망자수는 OECD회원국 중 1위를 차지하여 국가경제력 위상에 걸맞지 않는 수준에 머물러 있다. 이에 국가에서는 매년 전국 시 군 구를 대상으로 교통문화지수를 측정하여 교통안전정책 개선과 안전의식 함양을 도모하고 있으나 교통문화지수와 실제 교통사고와의 영향관계는 가정에 그치고 있으며 검증은 수행되지 않았다. 따라서 본 연구는 교통문화지수가 실제로 교통문화수준을 대변하여 교통사고와의 영향관계가 있는지에 대한 검증을 수행하였고, 그 결과를 바탕으로 교통문화지수 실태조사의 개선방안을 제시하고자 하였다. 이를 위해 2010년부터 2012년까지의 교통문화지수 실태조사 보고서의 자료를 바탕으로 구조방정식을 통해 교통사고건수와 교통사고 사망자수의 영향관계를 분석하였다. 구조방정식을 통한 영향관계 분석은 시 군 구별 교통문화지수와 교통 사고건수 및 사망자수의 관계분석(연구1)과 교통문화지수 증감과 교통사고건수 및 사망자수의 증감의 영향관계 분석(연구2)로 나누어 수행하였다. 그 결과, 연구1의 경우 모형의 적합도가 낮게 나타났으나 연구2의 경우 교통문화지수가 증가하면 사고건수 및 사망자수가 감소하는 것으로 나타나 교통문화지수의 효과가 검증되었다.

• 한국안전학회지
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• 제21권2호
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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.

• 한국환경과학회지
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• 제9권6호
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• pp.469-474
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• 2000

The traffic accidents in large cities such as Pusan metropolitan city have been increased every year due to increasing of vehicles numbers as well as the gravitation of the population. In addition to the carelessness of drivers, many meteorological factors have a great influence on the traffic accidents. Especially, the number of traffic accidents is governed by precipitation, visibility, cloud amounts temperature, etc. In this study, we have analyzed various data of meteorological factors from 1992 to 1997 and determined the standardized values for contributing to each traffic accident. Using the relationship between meteorological factors(visibility, precipitation, relative humidity and cloud amounts) and the total automobile mishaps, and experimental prediction formula for their traffic accident rates was seasonally obtained at Pusan city in 1997. Therefore, these prediction formulas at each meteorological factor may by used to predict the seasonal traffic accident numbers and contributed to estimate the variation of its value according to the weather condition it Pusan city.