• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.149-160
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• 2007

Automobile black boxes store and provide accident and driving information. The accident and driving information can be utilized to build scientific traffic-event database and can be applied in various industries. The objective of this study is to develop a recognition system of dangerous driving through analyzing the driving characteristic patterns. In this paper, possible dangerous driving models are classified into four models on the basis of vehicle behaviors(acceleration, deceleration, rotation) and accident types from existing statistical data. Dangerous driving data have been acquired through vehicle tests using automobile black boxes. Characteristics of driving patterns have been analyzed in order to classify dangerous driving models. For the recognition of dangerous driving, this study selected critical value of each dangerous driving model and developed the recognition algorithm of dangerous driving. The study has been verified by the application of recognition algorithm of dangerous driving and vehicle tests using automobile black boxes. The presented recognition methods of dangerous driving can be used for on-line/off-line management of drivers and vehicles.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.457-462
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• 2021

As South Korea is a mountainous topography, installation of tunnel is essential for construction of expressway in straight lines. According to "2019 Road Bridge and Tunnel Status Report", there are 2,682 tunnels in Korea with total length of 2,077km. Tunnels take up 1.9% of total road length and the number of tunnel increased by 94% with 1,300 newly constructed tunnels over the 10 years. According to domestic and foreign researches, a long tunnel over 1km in expressway has dark lightings and monotonous wall design which decrease driver's concentration and make the driver feel bored. This leads to feeling fatigue and drowsiness more easily. In response, Korea Expressway Corporation installed design lighting that increases attentiveness on 10 tunnels with total length over 3km by 2020. To reduce the risks of accident that may happen inside the tunnel, this study conducted a comparative analysis on characteristics of each type of LED landscape lighting installed inside the expressway tunnel. The study aimed on providing the basic material for effective installation of LED landscape lighting for securing driving stability, reducing fatigue, and lowering the risk of drowsiness.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.146-149
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• 2014

최근 자동차 산업과 IT 기술의 융합이 활발해지면서 스마트카, 자율주행 자동차(무인 자동차)와 같은 지능형 자동차 개발이 활발히 진행되고 지능형 자동차의 비전 기반 기술개발도 활발히 진행되고 있다. 고속도로와 같이 포장된 도로나 자갈길과 같은 비포장 도로에서도 운전자의 승차감을 고려한 능동적 안전시스템과 안정적인 자율주행 자동차의 주행능력을 보장하는 기술들 중 도로 유형을 판단하는 것이 중요 요소 중 하나이다. 따라서 본 논문에서는 가중치 기반 클러스터링 기술을 이용하여 도로표면 유형을 분류하는 알고리즘을 제안한다. 아스팔트, 자갈길, 흙길, 눈길의 도로표면 영상 데이터를 히스토그램의 분포도와 최고점 위치, 에지 영상의 에지량, 채도성분을 이용하여 특징값을 추출하고 클러스터를 구성한다. 분류할 입력 도로표면 영상에 대해 특징값을 분석한 후 탐색범위 내 선택된 각 클러스터의 벡터와의 거리를 측정하여 가중치를 계산하고 가중치가 높은 클러스터를 분류하여 입력 영상에 대한 도로표면을 결정한다. 실험결과 제안하는 방법이 각 도로표면 영상의 특징값과 이를 이용한 가중치만을 이용하여 약 91.25%의 정확도로 도로의 표면을 분류해 내는 것을 볼 수 있었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.33-42
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• 2011

The types of the accidents caused by intra-city buses and the changing tendencies of driving attitudes are analyzed before-and-after semi-public management system of intra-city bus system is implemented. On the basis of analysis, the measures on the decrease of traffic accidents are considered and the results are as follows. First, it showed that the traffic accidents decreased generally as a result of definition of the progresses of traffic accidents of intra-city buses before-and-after the system is implemented and with the passing of time after the system was operated. Second, the factors which influence the decrease of traffic offenses before-and-after semi-public management system of intra-city bus are the decease of violation, safe driving duty and the job security. Also the cause which mostly influence to the decrease of traffic accidents is defined. Finally, the measures of decrease of traffic accidents are arranged and proposed as a result of PROXSCAL method.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.2
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• pp.100-109
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• 2008

Traffic accidents at night occur more than any other time because of improper road light facility and delineators. Therefore, cost-effective criteria of installing delineators are needed instead of expensive road light facility, especially, on rural road including light volume of traffic. This paper presents the criteria of installing 'Chevron Alignment Sign' considering driver's visual behavior characteristics and 'Raised Pavement Marker' considering critical encroachment angie of both straight section and curve one in order to reduce both the number of accidents on curve sections and the number of road encroachment accidents, respectively. The characteristics of visual behaviors can be expressed by visual angle involving curve radius and intersection angle. The estimated installing angles are $1^{\circ}{\sim}2.5^{\circ}$ by radii, which is based on changes in sensitivity across visual field by exogenous attention. Also, the raised pavement marker is installed every 2m, 3m, and 4m considering critical encroachment angles by radii.

• International Journal of Highway Engineering
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• v.11 no.1
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• pp.69-83
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• 2009

According to the accident statistics of 2006, it can be recognized that drivers' characteristics and driving behaviors are the most causational factors on the traffic accidents. At present, many recording tools such as digital speedometer or black box are distributed in the market to meet social requests of decreasing traffic accidents and increasing safe driving behaviors. However, it is also true that the system preventing any possible vehicle accidents in advance has not been developed. In this study, we developed critical value for deciding dangerous driving behaviors. The developed critical value could be used to contribute to safety driving management systematization and safety driving behaviors.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.133-144
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• 2012

This study focused on estimating influential factors of traffic accidents and analyzing traffic accident severity of elderly and non elderly using traffic accident data. In order to reclassify elderly and non elderly traffic accident by a statistical method from entire traffic accident data, multiple discriminant analysis was applied. Also ordered logit model was applied for analyzing traffic accident severities using traffic accident severities as an independent variable and transportation facilities, road conditions and human characteristics as dependent variables. As results of the comparison between elderly and non elderly traffic accident, the traffic accident severity was affected by the age, types of traffic accidents, human characteristics and road conditions as well. Also, transportation facilities and road conditions affected to more elderly traffic accident than non elderly. Therefore, traffic accident severity would be decreased with the improvement of transportation facilities and road conditions for the elderly.

• Korean Journal of Culture and Social Issue
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• v.17 no.3
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• pp.305-320
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• 2011

The objectives of the present research are twofold. First, this research aims to compare the effect of trait characteristics(sensation seeking, social resistance and type-A behavior) with that of driving specific characteristics(driving anger and type-A driving) on problematic driving behavior. Second, the role of life stress as a mediator in the relationships between general trait characteristics and traffic safety index was examined. 1158 licensed commercial vehicle drivers were surveyed and their accident-related records were obtained in this research. Results showed that driving specific characteristics were significant indicators of traffic safety and life stress mediated the relationships between general trait characteristics and traffic safety index. These findings implicate that understanding drivers' driving specific characteristics and their levels of life stress is important to reduce problematic driving behaviors and enhance traffic safety.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.54-67
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• 2013

The main purpose of this study is to analyze the diversion rate by the levels of delay and the types of display. For this study, we developed the logit model by analyzing the result of SP survey of drivers who have driver's licence after manipulating a virtual driving simulator. The result of analysis was that the types of display was not statistically significant to the diversion rate. On the other hand, the levels of delay was very meaningful factor with the diversion rate. When the main road was flowing smoothly, drivers started to detour at the levels of delay 125% under the traffic free flow state. Similarly, when the levels of delay got worse, the diversion rate kept the same percentage as it was at the levels of delay 125% state which represented a smooth road condition. Likewise, when the main road's traffic flow was slow, drivers appeared to make detours at the same state of the levels of delay 125%. It was found that as the levels of delay got worse, the diversion rose higher than the diversion rate at the condition of slow traffic flow situation with the levels of delay 125%. The result of this study suggests the criterion of drivers detour point. For the conclusion, the result of study would be a reasonable reference for establishing transportation strategies by reflecting drivers' detouring property and would improve the efficiency of traffic flow.

• 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.