• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.47-54
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• 2006

In order to reduce traffic accidents, many researchers studied a traffic accident model. The Cause of traffic accidents is usually the mis calculation of traffic signals or bad traffic intersection design. Therefore, to analyse the cause of traffic accidents, it takes effort. This paper, it calculates the optimal safe car speed considering intersection conditions and weather conditions. It will recommend calculation of 1/3 in vehicle speed when there are rainy days and snow days. But the problem is that it will always display the same speed limit when whether conditions change. In order to solve these problems, in this paper, it is proposed the calculation of optimal safety speed algorithm uses weather conditions and road conditions. Computer simulations is prove that it computes the traffic speed limit correctly, which proposed considering intelligent traffic accident prediction algorithms.

• Journal of Korean Society of Transportation
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• v.30 no.4
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• pp.95-106
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• 2012

Driver's capability of identifying the change in freeway alignments and environments is one of important factors associated with traffic safety on freeways. In particular, driver's visibility and recognition capability are highly dependent on the altitude of the sun by sunset, sunrise, and nighttime. The purpose of this study is to identify the characteristics of geometric conditions affecting crash occurrences at sunset, sunrise, and nighttime. Poisson and negative binomial regressions were adopted to predict freeway crash frequency in this study. Freeway crash data during 2007~2010 were used for developing the crash frequency models. A set of variables representing the characteristics of geometric conditions were identified as significant ones affecting crash occurrences. The results of this study would be useful in deriving effective countermeasures for preventing traffic crashes that mainly occur at sunset, sunrise, and nighttime on freeways.

• Journal of the Korea Convergence Society
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• v.5 no.1
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• pp.9-15
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• 2014

Traffic accidents are caused by a variety of factors. Among the factors that cause traffic accidents are weather conditions at the time. There is a difference in the percentage of deaths according to traffic accidents, due to the weather conditions. In order to reduce the number of deaths due to traffic accidents, to predict the incidence of traffic accidents that occur in response to weather conditions is required. In this paper, it propose a model to predict the incidence of traffic accidents caused by weather conditions. Predictive modeling was applied to the theory of Markov processes. By applying the actual data for the proposed model, to predict the incidence of traffic accidents, it was compared with the number of occurrences in practice. In this paper, it is to support the development of traffic accident policy with the change of weather.

• Journal of Korean Society of Disaster and Security
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• v.10 no.2
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• pp.7-19
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• 2017

Recently, the incidence of disasters and safety incidents is increasing rapidly, and the interest and demands of the people are increasing. In particular, traffic accidents in Korea are decreasing due to the continuous efforts of the government and the local governments, but still higher than the OECD average. In response to such demands of the times, the 'Regional Safety Index', a numerical value that quantifies the level of safety of each local government, is being publicized every year to awaken public awareness. The Regional Safety Index covers seven categories of accidents (traffic accidents, crimes, suicide, infectious diseases, fire, safety accidents, and natural disasters) in local governments. But, this study focuses on the traffic accident area and analyzed. The target local government is Ulju county of Ulsan Metropolitan City. Based on the traffic accident statistical data of Ulju county, the analysis of the traffic accidents and vulnerable points were analyzed. Among them, 3 key improvement districts were selected and 15 vulnerable branches were selected for each key improvement district. Next, we prepared measures for improvement of each accident vulnerable site through analysis of geographic information through traffic data related to traffic accidents and interview with related organizations. In addition, the improvement measures are divided into the structural infrastructure improvement, the institutional improvement, and the traffic safety culture movement from the viewpoint of traffic accident prevention. Finally, the implications of this study are to clarify the duties and roles of the relevant departments in the municipality, based on the implementation schedule of the improvement projects for the prevention of traffic accidents and the budget plan. In addition, it is very important that the participating agencies involved in traffic accidents and the private sector participate in the project.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.1
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• pp.23-27
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• 2015

Nowdays, in order to reduce recent traffic accident the traffic accident research which uses IT techniques is plentifully advanced. But, when running away traffic accident occurs, the assault vehicle the searching is difficult very from site. Respected a traffic accident investigation scientification RFID techniques and type expense to use an ubiquitous theory constructs the traffic accident preventive system which is efficient the algorithm which proposed. Especially in this paper, It simulated that every hour changes road follows produces the optimum traffic safety speed which in situation and weather condition.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.290-293
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• 2014

하인리히 법칙에 따르면, 하나의 대형사고는 다수의 경미한 사고나 수많은 근접한 위험상황이 발생한 위치에서 발생할 확률이 높다. 해상교통상황에서도 양 선박이 충돌 위험이 있는 상황, 즉 근접사고 상황은 해상교통관련 대형 사고를 예방하는 관점에서 중요하다. 하지만, 아직까지 이러한 근접사고 자료는 VTS데이터 접근에 어려움, 관련 전문 기법 부족 등으로 수집 분석하는데 어려움이 있었다. 이에 본 연구에서는 해상교통 근접사고를 조우하는 선박간에 시공간적으로 충돌에 근접한 상황들이 발생하여 충돌의 위험이 일정한 값 이상으로 높아진 상황으로 정의하고, 2013년도 완도VTS 관제해역 해상교통 항적데이터를 적용하여 근접사고 통계를 분석하였다.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.199-209
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• 2009

By materials of traffic safety public corporation, from 2007. 1. 1 to 2007 12. 31, for a year. traffic accidents took place in korea were 211,662 accidents. By this 6,166 people were death, and 335,906 people were wounded. In Gwangju metropolitan city, in 2007 year, 7,881 accidents took place and 152 people were death and 12,728 peoples were wounded, in 2008 year, 8,231 accidents took place and 138 people were death and 13,533 people were wounded. Death people reduced but accidents numbers were in creased 4.4%. Meanwhile, government did various traffic policies to reduce traffic accident. But still, disgrace of underdeveloped country in traffic division couldn't take off. Moreover, traffic safety unconcern of general country people are very deficient. In this research, as the basis of Gwangju province police agency, in traffic accident the present state, I am' going to analyse the part of directly related to citizen life and centering death accident and to present traffic police activities for prevention of traffic accidents.

• Transportation Technology and Policy
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• v.13 no.3
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• pp.43-50
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• 2016

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.597-600
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• 2000

계속적인 증가 추세를 보이고 있는 교통량으로 인해 환경 문제뿐 아니라 교통사고로 인한 사상자 및 물적피해가 상당량으로 집계되고 있다. 본 논문에서는 데이터융합 및 앙상블 클러스터링방법을 이용한 교통사고 심각도 분류분석방법을 제안함으로서 교통사고예방에 기여하고자 한다. 이를 위하여 신경망과 Decision-Tree기법을 이용하여 얻은 물적피해와 신체상해가 발생할 확률을 융합하는 전형적인 데이터 융합기법(템스터-쉐퍼, 베이지안 방법, 로지스틱융합방법)을 사용하였다. 또한, 분류정확도를 향상시키고자 Bootstrap 재추출 방법을 이용해 얻어진 여러 개의 분류예측 결과 중 다수의 분류결과를 선택하는 앙상블 (arcing, bagging)기법을 적용하였다. 더불어, 본 연구에서는 클러스터링 방법을 제시하고, 이 방법이 기존의 융합기법, 앙상블기법과 비교한 결과, 분류예측면에서 정확도가 향상됨을 보였다.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.194-199
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• 2007

최근 차량증가에 따라 교통사고가 날로 증가하고 있고, 안전운전을 위한 보조장치 개발의 필요성이 증대되고 있다. 특히 교통사고 원인중 운전자의 졸음으로 인한 사고가 30%에 달하고 있어 졸음운전 예방장치의 개발이 시급한 실정이다. 이에 본 연구에서는 졸음운전예방을 위한 효율적인 졸음경보 장치시스템을 제안한다. 제안하는 방법은 HRV와 안구활동 신호를 BP(역전파알고리즘)을 이용 보다 더 정확한 측정 및 판단을 행하여 운전자에게 음성경고를 보내주는 방식이다. 제안된 방식은 기존의 연구된 피부전기활동, 영상처리를 이용한 졸음운전 감지 시스템, 심박변동신호 분석 방법보다 훨씬 효율적인 졸음경보를 할 수 있을 것으로 기대된다.