• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.5
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• pp.1-17
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• 2024

In Korea, tollgates are designed in a complex manner with the coexistence of Hi-Pass and Toll Collection System lanes, frequently leading to traffic accidents. Despite the continuous efforts of the government to improve tollgates based on an analysis of accident factors, incidents still persist. Tollgates require drivers to be aware of numerous circumstances and events within a short distance, necessitating careful consideration of several factors and circumstances when analyzing traffic accidents. Therefore, this study applied the Term Frequency-Inverse Document Frequency method to traffic accident data to identify the factors and circumstances. Subsequently, the tollgate traffic accidents were categorized. Finally, effective tollgate improvement measures were proposed based on the categorization result.

• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.165-180
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• 2008

The purpose of this research is to propose an effective traffic safety countermeasure to reduce both violations of road traffic acts and accident rates related to the driver's characteristics by measuring them using Q analysis method, a microscopic statistics analysis method. As a result, violators of the road traffic act could be divided into five driving characteristics and causers of traffic accident could be classified into six driving characteristics. By understanding these characteristics, We could establish a proper traffic safety countermeasure for each driving characteristic. The accomplishments of this research are as follows: The first, We could classify the decisive driving characteristics, which cause road traffic acts and traffic accidents, into internal and external causes. The relationship between each driver's characteristic and the occurrence of the road traffic act and traffic accident could be recognized more clearly. We could find the dangerous driver samples who have Accidents proneness. The second, As a result of analyzing the characteristics of these factors, We could sort out and suggest countermeasure for reducing violation of road traffic acts and traffic accidents as a priority countermeasure and complementary countermeasure. Finally, transportation companies most closely related to automobile accidents can judge new personnels on the basis of their driving characteristics before hiring, and also apply this principle to the traffic safety education vigorously.

• Proceedings of the Korean Statistical Society Conference
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• 2000.11a
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• pp.257-260
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• 2000

본 연구에서는 의사결정나무모형을 이용하여 교통사고 유형 분석을 시도한다. 분석에 이용된 자료는 도로교통안전관리공단에서 수집한 교통사고 정밀조사 자료이다. 본 연구에서 목표변수는 '사고내용'이며, 설명변수는 '인적 요인', '차량적 요인', '도로 환경적 요인' 관련 변수이다. 목표변수에 주요한 기여를 하는 주요 설명변수를 도출하였으며, 얻어진 의사결정나무모형을 토대로 하여 교통사고를 유형화하였다.

• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.35-43
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• 2006

This study suggests strategies to prevent traffic accidents by utilizing impact factors per each cluster and the typical patterns of 81 cities based on the statistical analysis of the data concerning the TCI which was developed from the partnership of the Traffic Safety Authority and the Green Traffic Movement Corporation in 2002 and 2003. The Principal Component Analysis and Cluster Analysis on impact factors and TCI result in 4 components and 4 clusters. Also as the results of Stepwise Multiple Regression Analysis examining the relationship between impact factors and TCI, R2 values of these models show high to all clusters. According to the results, we suggest strategies to prevent traffic accidents per cluster concretely and it is necessary to analyze how effective the invested facilities are in reducing traffic accidents in the future.

• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.39-52
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• 2006

This study divided the large-scale traffic accident locations into its own characteristics by using Cluster Analysis. Also, Quantification II and Classification and Regression Tree methods were used enabling evaluation for the amount of affecting influence by the crash type. After these analyses, we tested the fitness of the results and suggested the simplification of the quantification index. With the results from the discussed procedure, obvious differences were observed by groups according to the characteristics of crash type from the Discrimination and Classification analysis of divided four groups. Thus, measures and supplementary measures for the traffic accidents could be suggested in groups systematically. However, a lot of missing values in variables caused a huge loss of data and made this study difficult for more detailed analysis, With this difficulty. recording mandatory log files with a standardized format is also recommended to Prevent this Problem in advance.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.57-67
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• 2011

This study has been conducted to provide the basic materials about the occurrence structures, causes and choice of treatments of the traffic accident offenders' PTSD(Posttraumatic Stress Disorder). The results of this study can be summarized as follows. First, accident offenders', not victims', PTSD conditions, which has been only estimated until now, are measured by nationwide questioning survey. Second, accident offenders' changes of driving attitude after accidents could be typed by factors analysis in the 20 driving situations closely connected to the occurrence of traffic accidents. Third, by the t-test, the difference of driving attitudes in primary driving situations according to existence of PTSD is distinguished. Six driving situations, which are found significant by t-test, are applied to structural equation. So the variables related to PTSD and the models which analyze the attitude changes of driving are constructed. This study provides the basic materials to help the reduction and prevention of the occurrence of PTSD.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.2
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• pp.137-152
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• 2007

This paper aims to clarify the types of cities by automobile traffic accidents and to search the characteristics of automobile traffic accidents for each type. Cities by automobile traffic accidents are classified into 4 types. Seoul city belongs to Type A in which 'automobile use and accident type' is closely related. Osan city belongs to Type B where the number of automobile traffic accidents is the greatest. And many satellite cities of Seoul city and metropolitan cities, and cities distributed in Southeastern industrial region belongs to Type C in which automobile accidents are fewer than the national average. Other 57 cities belongs to Type D which there are more automobile accidents than the national average. The cause of traffic accidents for each city type are as follows. In Seoul city the major causes of accidents are no security of safety distance, road patterns of other region, and injury of pedestrians. In Osan city, many single lane road accidents, central line invasion, and traffic accidents of children of under 14 years. And in satellite cities of Seoul city and metropolitan cities, and cities distributed in Southeastern industrial region, the major causes are traffic regulation violation, of under 6m in crossroad accidents, accident of children of under 14 years, and injury of pedestrians. Lastly, in other 57 cities chief causes are traffic regulation violation, wrong methods of passing crossroads, injury of children of under 14 and elderly of over 61 years, and injury of pedestrians.

• Journal of Korean Society of Transportation
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• v.24 no.4 s.90
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• pp.129-148
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• 2006

The objective of this thesis is to develop a capacity analysis and to develop a methodology to evaluate Level of Service over the entire freeway sections by single MOE (Measure of Effectiveness) This study set forth from a following viewpoint. to analyze entire freeway sections as freeway facility system, it is important to identify the exact point where congestion would occur and the extent of the congestion. Therefore, in this thesis, congestion mechanism on freeways was figured out and congestion analysis methodology was developed. Thereby maximum possible throughput rate and maximum throughput rate in bottleneck sections were calculated and a congestion analysis was carried out. The difference between the new method and existing Procedures is that maximum possible throughput rate and maximum throughput rate. that can be considered as capacities of un-congested and congested flow in the bottleneck section, are variable capacities dependent on demand flow.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.1
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• pp.173-185
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• 2015

This study aims to investigate the characteristics and types of car accidents and establish a prediction model by analyzing 456 car accidents having occurred in the 11 tunnels in Busan, through statistical analysis techniques. The results of this study can be summarized as below. As a result of analyzing the characteristics of car accidents, it was found that 64.9% of all the car accidents took place in the tunnels between 08:00 and 18:00, which was higher than 45.8 to 46.1% of the car accidents in common roads. As a result of analyzing the types of car accidents, the car-to-car accident type was the majority, and the sole-car accident type in the tunnels was relatively high, compared to that in common roads. Besides, people at the age between 21 and 40 were most involved in car accidents, and in the vehicle type of the first party to car accidents, trucks showed a high proportion, and in the cloud cover, rainy days or cloudy days showed a high proportion unlike clear days. As a result of analyzing the principal components of car accident influence factors, it was found that the first principal components were road, tunnel structure and traffic flow-related factors, the second principal components lighting facility and road structure-related factors, the third principal factors stand-by and lighting facility-related factors, the fourth principal components human and time series-related factors, the fifth principal components human-related factors, the sixth principal components vehicle and traffic flow-related factors, and the seventh principal components meteorological factors. As a result of classifying car accident spots, there were 5 optimized groups classified, and as a result of analyzing each group based on Quantification Theory Type I, it was found that the first group showed low explanation power for the prediction model, while the fourth group showed a middle explanation power and the second, third and fifth groups showed high explanation power for the prediction model. Out of all the items(principal components) over 0.2(a weak correlation) in the partial correlation coefficient absolute value of the prediction model, this study analyzed variables including road environment variables. As a result, main examination items were summarized as proper traffic flow processing, cross-section composition(the width of a road), tunnel structure(the length of a tunnel), the lineal of a road, ventilation facilities and lighting facilities.

• 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.