• The KIPS Transactions:PartB
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• v.16B no.1
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• pp.17-24
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• 2009

This paper suggests the background image and the algorism of detecting an accident at crossroads by using the sequence of traffic light at crossroads, which is installed within the crossroads, in order to detect an accident within crossroads. A method of using the existing image contains a problem that the accident-detection ratio gets lower in a situation that noise occurs loudly given using new accident model, the confused situation, or sound source. This study used the accident detection by developing a filter of using the property of histogram in the sequence of traffic light at crossroads and the background image, in order to reduce misjudgment of an accident caused by external shadow, vehicle stoppage, vehicle headlight, and externally environmental influence. As a result of experimenting by acquiring 15 actual accident images in order to examine the performance of the suggested algorism, the accident was detected in all the 15 videos. Even as for a new accident model, the accident within crossroads could be detected.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.99-110
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• 2008

It is commonly estimated that there is a much higher potential for accidents at a crossroads than along a single road due to its plethora of conflicting points. According to the 2006 figures by the National Police Agency, the number of traffic accidents at crossroads is greatly increasing compared to that along single roads. Among others, crossroads installed with traffic signals have more varied influential factors for traffic accidents and leave much more room for improvement than ones without traffic signals; thus, it is expected that a noticeable effect could be achieved in safety if proper counter-measures against the hazards at a crossroads were taken together with an estimate of causes for accidents This research managed to develop models for accident forecasts and accident intensity by applying data on accident history and site inspection of crossroads, targeting four selected downtown crossroads installed with traffic signals. The research was done by roughly dividing the process into four stages: first, analyze the accident model examined before; second, select variables affecting traffic accidents; third, develop a model for traffic accident forecasting by using a statistics-based methodology; and fourth, carry out the verification process of the models.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.137-140
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• 2010

교통사고의 발생은 교통 혼잡의 주요 원인으로 작용되어 교통사고에 의한 직 간접적 손해비용까지 지출되고 있다. 따라서 교통사고를 사전에 예방하거나 사고가 발생한 후 신속하게 처리할 수 있는 실시간 교통사고 대처 시스템이 요구되고 있다. 즉, 교통사고 자동검지 시스템의 필요성은 가 피해자의 구분에 활용하는 것 이외에 신속한 인명구조와 사고처리 등의 교차로 유고관리가 가능하며, 교통사고로 발생할 수 있는 교통 혼잡을 최소화 할 수 있다. 본 논문에서는 다양한 형태의 충돌 및 추돌 사고를 검지하는 시스템의 성능을 개선하기 위한 것으로 영상 또는 소리라는 매체에 기반을 둔 시스템에서 자동 검지의 한계성을 도출하고 개선하고자 하였다. 테스트 베드를 기반으로 자동검지 실패의 원인을 분석하고 그 원인에 따른 오인식의 문제점을 개선하여 운전자 단독사고로 인하여 차량 추적이 불가능한 경우, 소리 없이 발생한 사고, 야간에 발생한 사고 등의 문제점들을 극복함과 동시에 성능을 개선하는데 그 목적이 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.3D
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• pp.343-353
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• 2011

The unsignalized intersections in a community road in the city of Seoul have 3,753 traffic accidents(9%) of total 41,702 cases in 2008, not high in the occurrence rate of traffic accidents, but seem to have a quite high potential of accidents due to the unreasonable and insufficient operation of systems and facilities in the part of traffic foundations. In particular, the un-signalized intersections in a community road have an insufficient measure for safety as compared to the crossroads with signals, and there are few analysis of traffic accidents and domestic researches on the model of affecting factors. Our country also has no concept of passing priority in operating a crossroad without signals, differently from foreign countries, so the researches and safety measures for improving the safety of a crossroad without signals in a community road are urgent. Therefore, This study set out to analyze the road conditions, traffic conditions, and traffic environment conditions on unsignalized intersection, to identify the elements that would impose obstructions in safety, and develop a traffic accident prediction model to evaluate the safety of an unsignalized intersection using the correlation between the elements and an accident. In addition, the focus was made on suggesting appropriate traffic safety policies by dealing with the danger elements in advance and on enhancing the safety on intersection in developing a traffic accident prediction model for an unsignalized intersection.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1297-1308
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• 2015

In Korea, the local traffic safety master plan has been established and implemented according to the Traffic Safety Act. Each local government is required to establish a customized traffic safety policy and share roles for improvement of traffic safety and this means that local governments lead and promote effective local traffic safety policies fit for local circumstances in substance. For implementing efficient traffic safety policies, which accord with many-sided characteristics of local governments, the prediction of community-based traffic accidents, which considers local characteristics and the analysis of accident influence factors must be preceded, but there is a shortage of research on this. Most of existing studies on the community-based traffic accident prediction used social and economic variables related to accident exposure environments in countries or cities due to the limit of collected data. For this reason, there was a limit in applying the developed models to the actual reduction of traffic accidents. Thus, this study developed a local traffic accident prediction model, based on smaller regional units, administrative districts, which were not omitted in existing studies and suggested a method to reflect traffic safety facility and policy variables that traffic safety policy makers can control, in addition to social and economic variables related to accident exposure environments, in the model and apply them to the development of local traffic safety policies. The model development result showed that in terms of accident exposure environments, road extension, gross floor area of buildings, the ratio of bus lane installation and the number of crossroads and crosswalks had a positive relation with accidents and the ratio of crosswalk sign installation, the number of speed bumps and the results of clampdown by police force had a negative relation with accidents.

• 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.