• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.272-276
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• 2007

최근 해상교량의 건설이 증가하면서 해상교량의 건설로 인한 여러 가지 문제점들이 보도되고 있다. 인천 제2연륙교의 건설지연을 비롯한 여러 가지 문제점은 이러한 분쟁의 대표적인 예라고 할 수 있다. 특히 해상교량 건설 이전에 이미 그 해역을 항행하고 있던 선박과 그 선박을 이용해 이루어지던 물류의 흐름을 저해하는 해상교량의 건설은 장기간의 국가경제라는 측면에서 보면 커다란 손실을 입히게 될 것이라는 것을 누구라도 예측할 수 있다. 이 연구에서는 해상교량이 건설될 경우 선박교통의 흐름과 항만 운영에 미치게 되는 영향에 대하여 조사함과 동시에 실제 선박을 조선하여 해상교량 하부의 항로를 통과하여야 하는 도선사들의 의견을 수렴하여 문제점을 분석하고, 그 결과를 정리하여 향후 해상교량 건설의 표준안을 세우는데 기초 자료로 활용하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.935-938
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• 2019

본 논문에서는 YOLOv3 기반의 차량 인식 및 계수 방안 연구를 진행한다. 이를 위해, 단일 단계 방식의 구조를 가진 YOLOv3 를 활용하여 영상 속 차량 인식 및 계수 하는 실험을 수행한다. 위의 실험을 통해 영상 속 차량의 수와 밝기에 인식률 정도와 차량 계수 평균 값 추출을 하였다. 실험 결과, 영상 속의 차량의 수와 밝기에 상관없이 90%이상의 차량에 대한 높은 인식률을 보였으며 1초 당 약 20 번씩 인식되는 차량의 수에 대한 계수의 평균 값을 추출하여 텍스트 파일 형태로 저장하여 시간에 따른 차량 계수를 확인하였다. 본 기술은 현대 사회의 교통 체증을 해결하기 위한 교통 흐름 예측에 활용될 수 있다.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.47-56
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• 2008

Two-Lane Highway of Korea is important, Because it has the largeest portion of all roads of Korea. But it has only one lane for one direction. So, If Delays are happened by low-speed vehicles, high-speed vehicles should over-take through the other side of the road. This over-takings can generate the high possibility of traffic accidents and the severity of traffic accidents by over-takings is very high. Because it generates a head-on collision. But the level of Service that indicates the operation states of Two-Lane Highway is defined as a conception that explains the operation conditions of traffic safety etc. Whencalculating the Level of service. It is considered by only delays. So, in this paper, first, this author wants to present the calculation of delay-time by Total-Delay Rate. Second, by multiplying this delay-time by the costs of delays wants to present the method of calulates the total delay costs. Third, to consider the traffic accidents, After predicting the number of traffic accidents, As multipling this by the average of costs of traffic accidents. want to present the method to calculate Total traffic accidents costs. Forth, present the operation costs.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.121-132
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• 2018

Weather is an important factor affecting roadway transportation in many aspects such as traffic flow, driver 's driving patterns, and crashes. This study focuses on the relationship between weather and road surface condition and develops a model to estimate the road surface condition using machine learning. A road surface sensor was attached to the probe vehicle to collect road surface condition classified into three categories as 'dry', 'moist' and 'wet'. Road geometry information (curvature, gradient), traffic information (link speed), weather information (rainfall, humidity, temperature, wind speed) are utilized as variables to estimate the road surface condition. A variety of machine learning algorithms examined for predicting the road surface condition, and a two - stage classification model based on 'Random forest' which has the highest accuracy was constructed. 14 days of data were used to train the model and 2 days of data were used to test the accuracy of the model. As a result, a road surface state prediction model with 81.74% accuracy was constructed. The result of this study shows the possibility of estimating the road surface condition using the existing weather and traffic information without installing new equipment or sensors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.2D
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• pp.113-118
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• 2010

This paper presents an analysis of the instability phenomenon on motorways, with the aim of arriving at the definition of a control strategy suitable for keeping the flow stable. By using some results of the motorway reliability theory, a relationship and some flow characteristics is obtained, which shows that the existence of a reliability threshold critical for flow stability. The macroscopic flow characteristics corresponding to this threshold are very different in different situations, so that this control of flow stability requires the analysis of speed and density microscopic process surveyed on a cross section of the motorway carriage ways to be controlled. A method is presented, based on integrated moving average(IMA) analysis in real time of these processes, by which it is possible to detect the approach of instability before its effects become manifest, and to single out the proper control strategy in different situations.

• Journal of Korea Water Resources Association
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• v.55 no.12
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• pp.1091-1104
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• 2022

Climate change is predicted to increase the frequency and intensity of rainfall worldwide, and the pattern is changing due to inundation damage in urban areas due to rapid urbanization and industrialization. Accordingly, the impact assessment of climate change is mentioned as a very important factor in urban planning, and the World Meteorological Organization (WMO) is emphasizing the need for an impact forecast that considers the social and economic impacts that may arise from meteorological phenomena. In particular, in terms of traffic, the degradation of transport systems due to urban flooding is the most detrimental factor to society and is estimated to be around £100k per hour per major road affected. However, in the case of Korea, even if accurate forecasts and special warnings on the occurrence of meteorological disasters are currently provided, the effects are not properly conveyed. Therefore, in this study, high-resolution analysis and hydrological factors of each area are reflected in order to suggest the depth of flooding of urban floods and to cope with the damage that may affect vehicles, and the degree of flooding caused by rainfall and its effect on vehicle operation are investigated. decided it was necessary. Therefore, the calculation formula of rainfall-immersion depth-vehicle speed is presented using various machine learning techniques rather than simple linear regression. In addition, by applying the climate change scenario to the rainfall-inundation depth-vehicle speed calculation formula, it predicts the flooding of urban rivers during heavy rain, and evaluates possible traffic network disturbances due to road inundation considering the impact of future climate change. We want to develop technology for use in traffic flow planning.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.251-256
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• 2023

International diesel prices play a crucial role in various sectors such as industry, transportation, and energy production, exerting a significant impact on the global economy and international trade. In particular, an increase in international diesel prices can burden consumers and potentially lead to inflation. However, previous studies have primarily focused on gasoline. Therefore, this study aims to propose an international diesel price prediction model. To achieve this goal, we utilize various global economic indicators and train a linear regression model, which is one of the machine learning methodologies. This model clearly identifies the relationship between global economic indicators and international diesel prices while providing highly accurate predictions. It is expected to aid in understanding overall economic trends including market changes.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.112-128
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• 2018

We are implementing pedestrian priority zone policy to certain districts to reduce greenhouse gas and to develop eco-friendly city which has more focus on pedestrians' walking environment. This policy has contributed to citizens' satisfaction level with improved public transportation service as well as more spacious streets for walk. Despite highly positive influence of pedestrian priority zone policy to the walking environment, we need to anticipate the impact of this to traffic environment as it may have bad effect to the overall traffic flow around the zone where the policy is implemented. This research has analyzed the change of characteristics of traffic accidents around the eco-traffic area of Hang-Gung dong, Suwon city, to understand impact of the pedestrian priority zone policy to the traffic surroundings, with pre-post analysis methodology. As a result, number of accidents related to pedestrians showed decrease as pedestrian priority zone is designed operated with focus to pedestrians. But accidents related illegal U-turn and violation of the traffic signal showed (significant) increase as there was a restriction of turns and decrease of overall traffic speed. To prevent the accidents above, we need to notice drivers to pay special attention before the pedestrian priority zone event, and information from this research should be given to the drivers through safety signs and mobile application at the place near to the event.

• Journal of Korea Water Resources Association
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• v.54 no.6
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• pp.407-418
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• 2021

In this study, the two-dimensional flow model, Nays2DH, and driftwood dynamics model were combined to analyze the flow and driftwood behavior depending on the characteristics of the inflow of driftwood and the length of the driftwood stem. In particular, the Dashpot-spring model was added to the driftwood dynamics model to simulate the collision motion of the driftwood, and the wood jam characteristics by the collision of the driftwood were compared. As a result of the simulation, the pass rate of the obstacle section, the travel distance of wood jam, and the mean position of the wood pieces were respondent sensitively by the length of the driftwood stem, but the cohort size of the driftwood supply was insignificant excepting for the pass rate. Through this study, we could understand the interaction between hydraulic structures and driftwood, and through this, it is believed that it will be helpful in establishing a durable maintenance plan for hydraulic structures by predicting the transport and jam formation phenomena of driftwood in advance.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.51-63
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• 2000

Dynamic traffic assignment(DTA) has been a topic of substantial research during the past decade. While DTA is gradually maturing, many aspects of DTA still need improvement, especially regarding its formulation and solution algerian Recently, with its promise for In(Intelligent Transportation System) and GIS(Geographic Information System) applications, DTA have received increasing attention. This potential also implies higher requirement for DTA modeling, especially regarding its solution efficiency for real-time implementation. But DTA have many mathematical difficulties in searching process due to the complexity of spatial and temporal variables. Although many solution algorithms have been studied, conventional methods cannot iud the solution in case that objective function or constraints is not convex. In this paper, the genetic algorithm to find the solution of DTA is applied and the Merchant-Nemhauser model is used as DTA model because it has a nonconvex constraint set. To handle the nonconvex constraint set the GENOCOP III system which is a kind of the genetic algorithm is used in this study. Results for the sample network have been compared with the results of conventional method.