• 한국산업융합학회 논문집
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• 제9권4호
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• pp.285-291
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• 2006

A traffic accident is occurred by unbalance of reciprocal action of driver, vehicle and road conditions. To prevent the traffic accident, rapid and perfect road improvement is needed. But most of road improvement plans have insufficient budget. So decision maker has to determine the priority to invest. A model in this study, analyzing the effect of road conditions to the traffic accident, helps to decide the priority in road improvement. This study considered five danger indices ; 1) traffic volume, 2) speed variance, 3) vehicle mixing rate, 4) curved line radius, and 5) difference between design speed and running speed. Danger rate composed by five indices can be a scale of priority of improvement. The model in this study didn't consider all of factors about traffic accident. But this study can propose the methodology for traffic safety policy. For deriving the model, this study used data from highways in Korea and United States. Therefore the model has to apply the highways only.

• 동의신경정신과학회지
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• 제19권2호
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• pp.299-312
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• 2008

Headache is symptom of many people suffered. It caused simply by fatigue, stress, but it also caused by inflammation, mechanical or chemical stimulus, circulation disorder, brain damage. Modern societies develop rapidly by traffic system. But lately it suffering with many traffic problem. Traffic accident is most important of many traffic problem. We experienced a 35 year-old female who complained headache, caused by a traffic accident that happened 22 month ago. We treated the patient by the way of Eo-hyeol (瘀血) type of headache with Herbal medication and Acupuncture. After being treated, the patient show that symptoms(headache, insomnia, anorexia) was improved considerably. This result suggests that oriental medicine treatment has good effect on headache due to traffic accident.

• 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.

• 한국측량학회지
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• 제23권4호
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• pp.345-352
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• 2005

첨단 정보화시대에 교통사고처리 및 분석의 병행되는 업무는 개별적 수행에 따른 이중적 업무로 진행되고 있으며, 교통사고를 처리하는 현 경찰청은 최첨단 기술을 병행하지 못하고, 아직도 수작업에 의해 업무가 진행되고 있으며, 교통사고분석에 있어서는 지리요소와 개별 및 복합적 요소에 따른 교통사고 요인 대한 연구와 사고원인에 대한 사고분석에 관한 연구가 미흡한 실정이다 따라서, 교통안전정책을 효과적으로 수립 및 시행하고 이를 평가하기 위해서는 무엇보다 교통사고 자료를 토대로 교통사고 발생원인 및 특징에 대한 체계적, 과학적 분석이 선행되어야 한다. 교통사고 자료를 지형공간정보체계기반으로 구축하여 기존에 텍스트 형태의 자료 수집이 아닌 PDA를 이용하여 실시간으로 사고 자료를 표준 도로교통사고 자료 양식에 맞게 변환하여 저장 및 사고 정보를 관리할 수 있으며, 공간 데이터 특수성과 연계하여 사고원인에 대한 지리적 분석 데이터로 표출하는 통합 관리 시스템 개발에 관한 연구를 수행하였다.

• 시큐리티연구
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• 제7호
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• pp.155-189
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• 2004

The mission of the police as described by law is to guard the life, body and property of all citizens. Such duties should be accurately performed based on legal and democratic procedures because the works of the police are directively influencing the overall lives of the citizens by restricting their freedom. We are frequently watching the traffic police on the street or road. Traffic policing aims to reduce crime and the opportunities for criminal activity in relation to the use of roads, that is to improve road user behavior in order to reduce accidents. The characteristics of traffic accident change is not similar in each traffic condition. The purpose of this study is to analysis a type characteristics of traffic accident change, such as number of deaths and wounded persons by the time, the vehicle, the type the road, the age group. Based on the characteristics of traffic accident change, traffic accident countermeasures are proposed, in which some variable of traffic policies such as traffic facilities, traffic regulation, and traffic safety education.

• 대한교통학회지
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• 제23권7호
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• pp.77-86
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• 2005

현재 우리나라 간선도로의 서비스수준(LOS)은 차량의 평균통행속도를 기준으로 평가되어지고 있다. 이는 도로의 혼잡도 만을 기준으로 적용한 것으로 교통안전측면이 고려되지 않은 것이 현실이다. 합리적인 도로 설계와 운영을 위한 평가 지표라면 도로 이용자에게 영향을 미치는 제반 인자들을 보다 포괄적으로 포함할 수 있어야 한다. 교통안전과 소통측면을 총괄할 수 있는 변수로 사용자비용 개념을 적용하여 간선도로 평가방법을 모색하고자 한다. 사용자 비용을 효과척도로 하는 간선도로 평가도 가능하다는 것을 본 연구를 통해 알 수 있었다. 또한, 본 연구의 사용자 비용에 의해 평가된 간선도로 서비스 수준과 도로용량편람의 평균통행속도에 의해 평가된 간선도로 서비스 수준을 비교 분석하여 종합적인 서비스 수준 분석방법 여부를 가릴 수 있을 것이다. 이로서, 안전과 소통 측면을 모두 고려한 간선도로 평가가 가능함을 알 수 있었다.

• 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.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.95-100
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• 2023

Due to Traffic accidents people faces health and economical casualties around the world. As the population increases vehicles on road increase which leads to congestion in cities. Congestion can lead to increasing accident risks due to the expansion in transportation systems. Modern cities are adopting various technologies to minimize traffic accidents by predicting mathematically. Traffic accidents cause economical casualties and potential death. Therefore, to ensure people's safety, the concept of the smart city makes sense. In a smart city, traffic accident factors like road condition, light condition, weather condition etcetera are important to consider to predict traffic accident severity. Several machine learning models can significantly be employed to determine and predict traffic accident severity. This research paper illustrated the performance of a hybridized neural network and compared it with other machine learning models in order to measure the accuracy of predicting traffic accident severity. Dataset of city Leeds, UK is being used to train and test the model. Then the results are being compared with each other. Particle Swarm optimization with artificial neural network (PSO-ANN) gave promising results compared to other machine learning models like Random Forest, Naïve Bayes, Nearest Centroid, K Nearest Neighbor Classification. PSO- ANN model can be adopted in the transportation system to counter traffic accident issues. The nearest centroid model gave the lowest accuracy score whereas PSO-ANN gave the highest accuracy score. All the test results and findings obtained in our study can provide valuable information on reducing traffic accidents.

• 산업융합연구
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• 제17권4호
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• pp.53-58
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• 2019

교통약자인 노인 교통사고율을 줄이기 위하여 교통사고분석시스템과 통계청의 데이터를 수집하고 분석하는 것이 중요하다. 특히 노인 인구가 많이 거주하는 지역과 노인 교통사고가 자주 발생하는 지역에 해당하는 데이터 분석은 더욱 중요하다. 본 논문은 부여군 내의 노인이 많이 거주하는 지역에서 특정한 기간에 발생한 노인 교통사고 데이터를 빅데이터 분석기법으로 시각화 하고 분석하였다. 본 연구의 분석결과로 생성된 노인 교통사고 사고유형, 사고 다발지역, 노인 위치 자료 등은 노인 교통사고를 감소시키기 위한 개선책 및 관련 의사결정에 유용하게 활용될 수 있다.

• 한국정보전자통신기술학회논문지
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• 제8권1호
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• pp.23-27
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• 2015

요즈음 교통사고를 줄이기 위하여 IT 기술을 이용한 교통사고 연구가 많이 진행되고 있다. 그러나, 뺑소니 교통사고 발생하면 가해차량을 현장에서 찾기가 매우 어렵다. 교통사고 조사 과학화를 위해서, RFID 기술 및 유비쿼터스 이론을 이용하여 효율적인 교통사고 예방 시스템을 구축하는 알고리즘을 제안하였다. 특별히, 본 논문에서는 시시각각 변화하는 따른 도로상황 및 날씨 조건에 변화에 따른 최적 교통안전 속도를 산출하는 모의실험을 하였다.