• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.4
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• pp.46-56
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• 2021

Predicting the incident clearance time is important for eliminating the high transportation costs and congestion from non-repetitive congestion caused by incidents. In this study, the factors influencing the clearance time suitable for domestic road conditions were analyzed, using a training dataset for predicting the incident clearance time using artificial neural networks. In a previous study, the under-prediction problem for high incident clearance time was used. In the present study, over-sampling training data applied using the SMOGN technique was obtained and applied to the model as a solution. As a result, the DNN model applying the SMOGN technique could compensate for the limitations of the previously developed prediction model by predicting the clearance time with the highest accuracy among the models developed in the research process with MAE = 18.3 minutes.

• International Journal of Highway Engineering
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• v.14 no.1
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• pp.85-94
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• 2012

The term "incident duration time" is defined as the time from the occurrence of incident to the completion of the handling process. Reductions in incident durations minimize damages by traffic accidents. This study aims to develop models to identify factors that influence incident duration by investigating traffic accidents on highways. For this purpose, four models were established including an integrated model (Model 1) incorporating all accident data and detailed models (Model 2, 3 and 4) analyzing accidents by location such as basic section, bridges and tunnels. The result suggested that the location of incident influences incident duration and the time of arrival of accident treatment vehicles is the most sensitive factor. Also, significant implications were identified with regard to vehicle to vehicle accidents and accidents by trucks, in night or in weekends. It is expected that the result of this study can be used as important information to develop future policies to manage traffic accidents.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.105-116
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• 2023

The fatality rate of secondary accidents is seven times that of general traffic accidents. If limited to highways, one in four deaths are said to occur from secondary accidents. Unexpected situations which do not give drivers time to prepare are the cause of secondary accidents. This risk results in more fatalities on highways with high driving speeds. Existing studies have conducted research on traffic accidents and on secondary traffic accidents that occur after a primary traffic accident, without considering unexpected situations that may occur on the road. Therefore, to reduce damage and casualties caused by secondary accidents, there is a need to create a safe road environment by removing the possibility of causing accidents. This study analyzes whether the day of occurrence, time of occurrence, and radius of the curve of an unexpected situation are related to the occurrence of an unexpected situation. This study was based on data of accidents that occurred in 2022 on the Cheonan-Nonsan Expressway and the Seoul-Yangyang Expressway. The radius of the curve was calculated by dividing the section of the highway into straight, clothoid, and curved sections through cluster analysis. Results of the analysis indicate that the day and time of occurrence and the curve radius are associated with unexpected situations.

• Journal of Korean Society of Transportation
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• v.33 no.5
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• pp.497-507
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• 2015

Nonrecurrent congestion of freeway was primarily caused by incident. The main cause of incident was known as a traffic accident. Therefore, accurate prediction of traffic incident clearance time is very important in accident management. Traffic accident data on freeway during year 2008 to year 2014 period were analyzed for this study. KNN(K-Nearest Neighbor) algorithm was hired for developing incident clearance time prediction model with the historical traffic accident data. Analysis result of accident data explains the level of accident significantly affect on the incident clearance time. For this reason, incident clearance time was categorized by accident level. Data were sorted by classification of traffic volume, number of lanes and time periods to consider traffic conditions and roadway geometry. Factors affecting incident clearance time were analyzed from the extracted data for identifying similar types of accident. Lastly, weight of detail factors was calculated in order to measure distance metric. Weight was calculated with applying standard method of normal distribution, then incident clearance time was predicted. Prediction result of model showed a lower prediction error(MAPE) than models of previous studies. The improve model developed in this study is expected to contribute to the efficient highway operation management when incident occurs.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.621-624
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• 2007

본 논문에서는 교통 이력 데이터 분석을 통해 운전자에게 유용한 정보를 식별하는 방법을 제안한다. 이를 위해 차량 속도 분석을 이용한 요일, 시간 별 도로 중요도, 도로속성을 이용한 도로 중요도 결정 시스템을 개발하였다. 또한, 돌발상황 발생 시에도 그 예측 영향범위에 따른 선별적 정보제공이 가능한 시스템을 개발하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.414-414
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• 2012

하천에 산사태, 하천 주변 개발, 제방 및 댐 붕괴 등으로 인하여 다량의 토사가 돌발적으로 유입될 경우 유입된 토사가 하천의 거동에 미치는 영향은 막대하다. 또한 하도 내에 설치되어 있는 교량, 보와 같은 수공 구조물로 인하여 단면형태가 갑작스럽게 변화하는 경우나, 구조물로 인하여 토사가 퇴적되는 경우 하천의 수위 변화를 크게 유발하여 하천 범람과 제방 침식 등을 발생시키며 하천의 안전에 큰 위험 요인으로 작용하게 된다. 현재 다량의 토사가 하천에 돌발적으로 유입되는 위험으로부터 안전하게 보호하기 위해서 토사 유입 방지 대책에 대하여 많은 연구와 사업이 실시되고 있지만 이러한 치수대책이 완전하다고 하기에는 다소 어려운 상황이다. 따라서 홍수 조절 및 방재를 위한 수방대책 수립 및 수자원의 집중적인 관리가 무엇보다 절실히 요구되며, 이와 같은 토사에 의한 방재대책 수립을 위해서 수리학적 특성을 정확히 파악할 필요가 있다. 본 연구에서는 2011년 7월에 발생한 강우에 의하여 침수피해가 발생된 경기도 이천의 오천천을 대상으로 수치해석을 통한 침수 범람 원인을 분석하였으며, 하류부에 위치하고 있는 공장의 경우 내부가 1m이상 침수됨에 따라 흔적수위 및 현장 상황을 조사하였고, 당일 강우를 통한 홍수위를 산정하여 여러 가지 원인별 홍수 원인을 분석하였다. 2011년 7월에 발생된 강우는 복하천 하천정비기본계획에 제시되어 있는 설계빈도로 30년 빈도에 못 미치는 것으로 나타나 강우에 의한 영향보다는 외부 영향으로 판단되며, 상류로부터 순간적으로 유입된 토사의 과다 퇴적에 의한 수위 상승에 의하여 교량 및 보 등의 수공구조물과 연계된 통수 단면적의 부족 등의 영향으로 홍수 범람이 발생된 것으로 분석되었다. 홍수 범람에 의한 영향을 분석하기 위하여는 단순히 강우에 대한 영향을 고려하는 것 보다 하천의 전반적인 특성을 고려하여 정확한 원인 규명을 통한 대처방안이 수립되어야 하며, 지속적인 모니터링을 통하여 하천에 의한 피해를 최소화 할 필요가 있다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.4
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• pp.25-35
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• 2008

Variable Message Sign(VMS) is one of the subsystem of Intelligent Transportation Systems (ITS), which is useful for providing real-time information on weather, traffic and highway conditions. However, there are various situations such as incidents/accidents, constructions, special events, etc., which would be occurred on segments, it is unable to control traffic with only the VMS. Thus, it is essential to use of PVMS(Portable Variable Message Signs), which can move to the location needed traffic control and provide more active traffic information than VMS. This study developed a legibility distance model for PVMS messages using in-vehicle Differential Global Positioning Data(DGPS). Traffic conditions, drivers' characteristics, weather conditions and characteristics of PVMS message were investigated for establishing the legibility model based on multiple linear regression analysis. The factors such as height of PVMS characters, spot speed, age, gender and day and night were identified as dominants affecting the variation of legibility distances. It is expected that the proposed model would play a significant role in designing PVMS messages for providing more effective real-time traffic information.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.71-79
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• 2011

Traditionally, a dynamic network model is considered as a tool for solving real-time traffic problems. One of useful and practical ways of using such models is to use it to produce and disseminate forecast travel time information so that the travelers can switch their routes from congested to less-congested or uncongested, which can enhance the performance of the network. This approach seems to be promising when the traffic congestion is severe, especially when sudden incidents happen. A consideration that should be given in implementing this method is that travel time information may affect the future traffic condition itself, creating undesirable side effects such as the over-reaction problem. Furthermore incorrect forecast travel time can make the information unreliable. In this paper, a network-wide travel time prediction model under incidents is developed. The model assumes that all drivers have access to detailed traffic information through personalized in-vehicle devices such as car navigation systems. Drivers are assumed to make their own travel choice based on the travel time information provided. A route-based stochastic variational inequality is formulated, which is used as a basic model for the travel time prediction. A diversion function is introduced to account for the motorists' willingness to divert. An inverse function of the diversion curve is derived to develop a variational inequality formulation for the travel time prediction model. Computational results illustrate the characteristics of the proposed model.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.775-779
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• 2009

최근 이상기후 및 국지성 돌발호우 등 여러 가지 형태의 예기치 못한 기상이변으로 인하여 매년 수재해는 빈번히 발생하고 있으며, 이를 위해 하천에서 실시간으로 신속하고 안정성있는 수리학적 하도추적모형의 구축은 지속적으로 연구해야 할 사항이다. 현재 주요 수계 홍수통제소에서는 홍수예보를 위해 주로 수리학적 및 수문학적 모형이 병행되어 적용되고 있으나, 한강과 금강하류를 제외한 나머지 수계에서는 아직까지 개념적 수문학적 모형만을 이용하여 홍수예보를 수행하고 있는 실정이다. 그러나, 신속하고 안정적인 수문학적 모형이 가지고 있는 몇가지 장점에도 불구하고, 실시간 분석 및 신속한 상황대처를 위해서는 정교한 하천흐름해석 기술인 수리학적분석이 반드시 필요하다. 그러나, 대부분의 모형운영자가 직면하게 되는 수리학적 하도추적모형에서 발생하는 수치적 불안정성인 발산의 문제점은 상당한 어려움으로 작용하고 있다. 이는 다양한 원인들이 있을 수 있으나, 대표적으로 단면의 불규칙성을 고려할 수 있다. 실제단면들을 모형에 반영할 때 수치계산의 과정 중에 급확대/급축소/특이단면에 따른 잦은 발산이 발생하게 되며, 이를 방지하기 위해서 단면의 보간 및 평활화 작업 등을 수행하게 된다. 이때 단면의 형상을 최대한 반영한 보간 및 평활화 작업이 되지 않으면, 물리적 개념이 무시된 비합리적인 계산이 수행될 수 있다. 발산의 요인을 제거한 최적의 단면형태를 선정하는 것은 모형의 안정성을 확보하는 데 중요한 요인이 된다. 또한 모형수행에 있어 발산의 요인으로서 하구와 만나게 되는 지점에서의 경계조건으로서 조위영향이 있다. 수리학적 하도추적모형의 중요한 요인인 하구에서의 흐름을 조위와 연계하여 가장 합리적인 하류 경계조건을 제시하는 것이 모형의 발산 방지 및 정확도를 향상시키는데 중요한 인자로 작용하고 있다. 본 연구에서는 이와 같은 수리학적 하도추적모형의 안정성 검증을 위하여, 아직까지 수리학적 하도추적모형이 구축되어 있지 않는, 금강상류구간인 용담댐$^{\sim}$대청댐구간을 설정하여 수리학적 모형의 입력자료를 구축하고, 그에 따른 영향검토를 지속적으로 추진할 계획이다. 대상구간에서 향후 검증될 다양한 수리학적 안정화 기술은 향후 타 수계에서 적용시, 신속하고 합리적인 입력자료 구축에 많은 도움을 줄것이며, 현재 하천에서 발생하는 계산의 불안정성을 빠르게 수정하는 것이 가능하다.

• Land and Housing Review
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• v.3 no.1
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• pp.59-68
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• 2012

The current land development cost price system is classified as the creating land by construction price and composition changes that occur sporadically in the process of completion at the source of the factors by incurred cost price. Housing for land cost price system is a lack of objectivity which scheme of the such a gap due to the land in accordance construction and incurred cost price system so far. Therefore, in order to increase the objectivity of costing the costing of predictable surprises should be reflected in the process. Under such a background, this study defined the effective differential ratio as the predictable, estimated them for various characteristics of each business district to reflect. For this, set the properties category of five types to attributes and making the complex category and Look-up table. Which result of model validation is showed a high reliability. Therefore, Continuous accumulation of material in the future, when them to reflect the construction cost, will contribute to the bridge the gap the construction cost between incurred them.