• 대한교통학회지
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• 제27권3호
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• pp.111-118
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• 2009

교통사고 발생은 도로 여건이나 운전자 의식 등의 문제로 발생할 수 있으나 운전자 상호간 또는 운전자와 보행자 사이의 지켜야할 사항을 규정하는 교통법규를 위반할 경우 차량 또는 보행자의 교통사고 노출 가능성이 높아져 교통사고로 이어지는 경우도 상당부분 발생한다. 따라서 교통안전 선진국에서는 이러한 메커니즘의 교통법규 준수율을 높이기 위해서 교통법규를 위반하는 운전자들이 경제적으로 부담을 느껴 "교통법규 준수"라는 행동을 선택할 수 있을 정도의 수준으로 교통법규 위반 범칙금을 책정하고 있으며, 경제가 발전 할수록 범칙금 수준도 향상 시키고 있는 실정이다. 반면, 우리나라는 국민 정서 문제를 앞세워 지난 20년간 교통법규 위반 범칙금 수준을 크게 향상시키지 않았다. 따라서 본 연구는 운전자의 교통법규 준수율을 높일 수 있는 방안에 대하여 경제논리를 적용하여 효율적 교통법규 위반 범칙금 수준을 책정하는 방안을 도출하였다. 속도위반 및 신호위반 등 교통사고와 연관성이 높은 교통법규 사항에 대하여 운전자의 "법규 위반" 또는 "법규 준수"의 행동 선택에 있어서의 기대효용을 수치화 하여 현재 운전자가 기대하는 "교통법규 위반시 단속기대 확률"을 유지할 경우 적정 범칙금 수준과 현재의 범칙금 수준을 유지할 경우 "효율적 단속기대 확률" 등 두 가지의 교통정책 방안을 제시하였다.

• 한국도로학회논문집
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• 제15권5호
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• pp.203-215
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• 2013

PURPOSES : This study deals with first traffic violations occurred by novice drivers, which may be associated with traffic accidents. The objective of this study is to identify what kinds of drivers' characteristics influence on duration till the first traffic violation. METHODS : For the study, Survival Analysis and Cox proportional hazard model, that are usually used in the medical field, were employed. Survival Analysis was conducted to investigate whether there exist differences in survival duration by each covariate, whereas Cox proportional hazard model was used to identify significant factors that affect survival duration till novice drivers violate traffic regulations for the first time after getting a driver license. RESULTS : The results of Survival Analysis indicate that female, age (less than 21), low-frequency examinee of written exam, and non-crash involved drivers have longer duration till the first violation compared to male, greater than 21 years old, high-frequency examinee of written exam, and crash involved drivers, respectively. For the Cox proportional hazard model, license class 1 acquisitor was found to increase the survival duration till the first traffic violation was made, while male, age of 21-24, age of 25-34, age of 45-54, and crash involved drivers were more likely to reduce the survival duration. CONCLUSIONS : Absolutely, traffic violation is closely related to traffic accidents and all of the drivers should keep the traffic regulations to enhance highway safety. The results of this study might provide some insights to construct safe road environments by controlling the factors that reduce the traffic violation duration of novice drivers.

• 대한토목학회논문집
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• 제30권6D호
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• pp.553-560
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• 2010

본 연구는 신호위반 단속건수에 영향을 미치는 요인들에 관하여 자료를 수집하고 분석하여 신호위반 단속건수와의 관계를 규명하고 모형을 개발하여 예측된 모형을 통해 신호위반 단속건수에 영향을 미치는 요인에 대한 규칙을 파악하는 방법으로 교통사고의 위험을 항시 내포하고 있는 교통법규 위반행위가 빈번한 지역에 대한 무인다기능단속시스템의 설치기준을 제시하고자 하는 연구이다.

• 대한교통학회지
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• 제12권1호
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• pp.5-24
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• 1994

The purpose of this study is to develop an accident hazard index model in order to be used for the evaluation of regional traffic safety and to develop a driver violation index model in order to identify the primary causes of traffic accidents. The accident hazard index model was developed considering the accident rates based on population and the vehicle registration. The driver violation index model was developed considering the accident rates of each item of driver violation. Using the models developed in this study, it is identified that in the provincial level analysis the degree of the traffic safety of Chungbuk, Chungnam, and Kyungbuk Province are evaluated to be low. In the county level analysis of Kyungnam Province, the degree of the traffic safety of Yangsan, Euirung, Haman, Sachun and Tongyung County are evaluated to be low. Also, it is found that the major driver violations causing accidents in the nation are driving by unlicensed drives, improper passing, and improper railroad crossing : in Kyungnam Province, improper passing is the most driver violation.

• 한국안전학회지
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• 제30권2호
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• pp.70-76
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• 2015

This study deals with the traffic accident of circular intersections. The purpose of the study is to develop the accident models by traffic violation type. In pursuing the above, this study gives particular attention to analyzing various factors that influence traffic accident and developing such the optimal models as Poisson and Negative binomial regression models. The main results are the followings. First, 4 negative binomial models which were statistically significant were developed. This was because the over-dispersion coefficients had a value greater than 1.96. Second, the common variables in these models were not adopted. The specific variables by model were analyzed to be traffic volume, conflicting ratio, number of circulatory lane, width of circulatory lane, number of traffic island by access road, number of reduction facility, feature of central island and crosswalk.

• 한국안전학회지
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• 제33권4호
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• pp.111-118
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• 2018

Korea is facing a surge in the aging population, showing that population aged 65 and above will be accounted for 42.5% of the total population in 2065 with the emphasis on the over-80 population consisting of 19.2%. In response to this abrupt change in population structure, the number of traffic fatality accident referring to older driver as aged 65+ years had been increasing from 605 fatalities in 2011 to 815 fatalities in 2015 resulting in increases in 34.7% in oppose to happening to decreases in 17.2% about non-older driver. With Logit analysis based on Newton-Raphson algorithm utilizing older driver's traffic fatality data for the 2011-2015 years, it was found that the likelihood of an accident resulting in a fatality for super older driver aged 80 years and above considerably increased compared to other older driver with aging classification: 2.24 times for violation of traffic lane, 2.04 times for violation of U-turn, 1.48 times for violation of safety distance, 1.35 times for violation of obstacle of passing; also average annual increase of traffic accident cost related to super older driver was fairly increased rather than other older driver groups. Hence, this study proposes that improving and amending transport safety system and Road Traffic Act for super older driver needs to be urgently in action about license management, safe driving education, etc. when considering the increase of over-80 population in the near future. Also, implementing a social agreement with all ages and social groups to apply with advanced driver assistance system for older driver groups will be able to become a critical factor to enhance safe driving over the face of the country.

• 대한교통학회지
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• 제10권3호
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• pp.59-74
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• 1992

The change of industrial structure, the expansion of economic scale, the elevation of national life level and rapid motorization bring about social problems that are traffic accident, traffic congestion, etc. Especially, big traffic accidents bring about the great number of dead and wounded person with damage of property. But there are no study results available mainly focused on the big traffic accident analysis. Accordingly, this study is essentially for the factor analysis of big accident types including laws violation and the assaulting driver's death using Quantification ll method.

• 한국항만학회지
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• 제13권1호
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• pp.101-112
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• 1999

Traffic accidents increase with the increase of the vehicles in operation on the street. Especially big traffic accidents composed of over 3 killed or 20 injured accidents with the property damage become one of the serious problems to be solved in most of the cities. The purpose of this study is to build the discrimination model on big traffic accidents using the Quantification II theory for establishing the countermeasures to reduce the big traffic accidents. The results are summarized as follows. 1)The existing traffic accident related model could not explain the phenomena of the current traffic accident appropriately. 2) Based on the big traffic accident types vehicle-vehicle, vehicle-alone, vehicle-pedestrian and vehicle-train accident rates 73%, 20.5% 5.6% and two cases respectively. Based on the law violation types safety driving non-fulfillment center line invasion excess speed and signal disobedience were 48.8%, 38.1% 2.8% and 2.8% respectively. 3) Based on the law violation types major factors in big traffic accidents were road and environment, human, and vehicle in order. Those factors were vehicle, road and environment, and human in order based on types of injured driver’s death. 4) Based on the law violation types total hitting and correlation rates of the model were 53.57% and 0.97853. Based on the types of injured driver’s death total hitting and correlation rates of the model were also 71.4% and 0.59583.

• 한국멀티미디어학회논문지
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• 제19권7호
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• pp.1159-1165
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• 2016

Traffic violations such as moving while the traffic lights are red have come from a simple omission to a premeditated act. The traffic control center cannot timely monitor all the cameras installed on the roads to trace and pursue those traffic violators. Modern vehicles are equipped and controlled by several sensors in order to support monitoring and reporting those kind of behaviors which some time end up in severe causalities. However, such applications within the vehicle environment need to provide security guaranties. In this paper, we address the limitation of previous work and present a secure and privacy preserving protocol for traffic violation reporting system in vehicular cloud environment which enables the vehicles to report the traffic violators, thus the roadside clouds collect those information which can be used as evidence to pursue the traffic violators. Particularly, we provide the unlinkability security property within the proposed protocol which also offers lightweight computational overhead compared to previous protocol. We consider the concept of conditional privacy preserving authentication without pairing operations to provide security and privacy for the reporting vehicles.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.141-143
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• 2022

본 논문에서는 YOLO(You Only Look Once) 기반의 교통 신호등 인식을 통해 오토바이 운전자의 신호 위반 여부를 확인하는 기술을 제안하고자 한다. 오토바이 전면에 탑재될 하드웨어 모듈은 YOLO 기반의 객체 탐지를 위한 카메라 모듈과 라즈베리 파이, 신호 위반 시 오토바이의 현재 위치 정보 수집을 위한 GPS 모듈, 그리고 수집 정보를 클라우드 DB로 전송하는 LoRa 통신 모듈로 구성된다. 소프트웨어 기능의 핵심은 오토바이의 교통 신호 위반 여부를 판단하는 컴포넌트이다. 본 논문에서는 카메라 앵글 내에 있는 교통 신호등 객체를 먼저 인식한 후 빨간색 신호일 때에만 이 객체가 화면 상에서 오른쪽(좌회전의 경우)이나 위쪽(직진의 경우)으로 사라지면 신호 위반으로 판단하는 기능을 제안한다. 그리고, 오토바이 운전자가 신호를 위반한 것으로 판단되면 운전자의 신상 정보(이름, 휴대폰 번호 등), 오토바이 정보(번호판, 등록번호 등), 위반 상황의 스냅샷 사진, 위치 정보 및 날짜/시각 정보를 클라우드 DB로 전달하도록 한다. 이러한 위반 정보는 운전자의 스마트폰에 푸시 알림으로 전달하여 위반 사실을 인지하도록 하고, 관할 경찰서에서는 신호 위반 스티커를 발부하는 데 활용될 수 있으므로 궁극적으로는 오토바이 운전자의 교통 신호 위반을 사전에 방지할 수 있을 것으로 기대된다.