• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권4호
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• pp.269-276
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• 2013

Information and communication technology (ICT) is a promising solution for mitigating road traffic congestion. ICT allows road users and vehicles to be managed based on real-time road status information. In Tanzania, traffic congestion causes losses of TZS 655 billion per year. The main objective of this study was to develop an optimal approach for integrating real-time road information (RRI) to mitigate traffic congestion. Our research survey focused on three cities that are highly affected by traffic congestion, i.e., Arusha, Mwanza, and Dar es Salaam. The results showed that ICT is not yet utilized fully to solve road traffic congestion. Thus, we established a possible approach for Tanzania based on an analysis of road traffic data provided by organizations responsible for road traffic management and road users. Furthermore, we evaluated the available road information management techniques to test their suitability for use in Tanzania. Using the floating car data technique, fuzzy logic was implemented for real-time traffic level detection and decision making. Based on this solution, we propose a RRI system architecture, which considers the effective utilization of readily available communication technology in Tanzania.

• 한국도로학회논문집
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• 제15권5호
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• pp.177-185
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• 2013

PURPOSES : This study attempts to design and establish the road surface condition detection system by using the image processing that is expected to help implement the low-cost and high-efficiency road information detection system by examining technology trends in the field of road surface condition information detection and related case studies. METHODS : Adapted visual information collecting method(setting a stereo camera outside of the vehicle) and visual information algorithm(transform a Wavelet Transform, using the K-means clustering) Experiments and Analysis on Real-road, just as four states(Dry, Wet, Snow, Ice). RESULTS : Test results showed that detection rate of 95% or more was found under the wet road surface, and the detection rate of 85% or more in snowy road surface. However, the low detection rate of 30% was found under the icy road surface. CONCLUSIONS : As a method to improve the detection rate of the mobile road surface condition information detection system developed in this study, more accurate phase analysis in the image processing process was needed. If periodic synchronization through automatic settings of the camera according to weather or ambient light was not made at the time of image acquisition, a significant change in the values of polarization coefficients occurs.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.645-654
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• 2021

This research aims to examine the influence of road transportation infrastructure on the mobility of goods transport and the regional economy in Langkat Regency in Indonesia. This type of research is an associative and explanatory research whose data is obtained through a questionnaire survey. This study took a sample of 305 respondents using probability sampling in Langkat Regency, North Sumatera, Indonesia. Data analysis techniques use path analysis. The research results showed that the road transportation infrastructure variables had a significant and positive effect on the mobility of goods transport. Road transportation infrastructure and freight mobility simultaneously have a significant and positive effect on the economy of Langkat Regency. Road transportation infrastructure with the dimensions of road accessibility and maintenance partially directly has a significant and positive effect on the economy of the Langkat Regency. Road transportation infrastructure with the dimensions of road design and road construction quality partially does not have a direct effect on the regional economy, but has a positive and significant effect through the mobility of freight transport. The mobility of goods transport becomes an intervening variable that acts to mediate or determine the relationship between road transportation infrastructure variables to the regional economy.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.252-263
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• 2016

Road sign is an important street furniture that gives some information such as road conditions, driving direction and condition for a driver. Thus, road sign is a major target of image recognition for self-driving car, ADAS(autonomous vehicle and intelligent driver assistance systems), and ITS(intelligent transport systems). In this paper, an enhanced road sign recognition system is proposed for MMS(Mobile Mapping System) using the single camera and GPS. For the proposed system, first, a road sign recognition scheme is proposed. this scheme is composed of detection and classification step. In the detection step, object candidate regions are extracted in image frames using hybrid road sign detection scheme that is based on color and shape features of road signs. And, in the classification step, the area of candidate regions and road sign template are compared. Second, a Geo-marking scheme for geo-content that is consist of road sign image and coordinate value is proposed. If the serious situation such as car accident is happened, this scheme can protect geographical information of road sign against illegal users. By experiments with test video set, in the three parts that are road sign recognition, coordinate value estimation and geo-marking, it is confirmed that proposed schemes can be used for MMS in commercial area.

• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1088-1095
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• 2009

In this paper, we describe the reorientation method of distorted road sign by using projection transformation for improving recognition rate of road sign. RSR (Road Sign Recognition) is one of the most important topics for implementing driver assistance in intelligent transportation systems using pattern recognition and vision technology. The RS (Road Sign) includes direction of road or place name, and intersection for obtaining the road information. We acquire input images from mounted camera on vehicle. However, the road signs are often appeared with rotation, skew, and distortion by perspective camera. In order to obtain the correct road sign overcoming these problems, projection transformation is used to transform from 4 points of image coordinate to 4 points of world coordinate. The 4 vertices points are obtained using the trajectory as the distance from the mass center to the boundary of the object. Then, the candidate areas of road sign are transformed from distorted image by using homography transformation matrix. Internal information of reoriented road signs is segmented with arrow and the corresponding indicated place name. Arrow area is the largest labeled one. Also, the number of group of place names equals to that of arrow heads. Characters of the road sign are segmented by using vertical and horizontal histograms, and each character is recognized by using SAD (Sum of Absolute Difference). From the experiments, the proposed method has shown the higher recognition results than the image without reorientation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 추계학술대회 논문집 전기설비전문위원
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• pp.140-143
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• 2008

In this study, it was studied about the improved road light design for drivers and pedestrians using ray- or reverse ray-tracing method. Many of conventional road lights are not suitable for drivers and pedestrians because it has some serious problems such as glare effect or randomicity of illuminated areas. It was oriented from customary design method which was pointed at simple target such as luminance or electrical power. But it was not truth any more that the high luminance or electrical power consumption mean more bright and good mad light. We studied ray-tracing method for road light reflector design to get the several goals. It means that good road light has easy for drivers and Pedestrians eyes and illuminating objects on the road clearly. So, we set the design targets such as uniformity on the road area per one road light, shading angles and continuous luminance uniformity on the long distance road. We designed ideal road light conditions using ray-tracing method. We set the height of drivers and pedestrians eyes and calculated design guideline to make above design targets. Then we designed road light reflector using reverse ray-tracing method. And we achieved same luminance on the road almost half power consumption because we reduced loss of light. We achieved ideal design guide as 75 degrees of shading angles and 0.5 of luminance uniformity on the road area. Finally, we suggested reflector design for 250 watts power consumption CDM light source.

• 한국도로학회논문집
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• 제12권1호
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• pp.71-78
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• 2010

급격한 도시화는 교통지체를 포함하여 다양한 교통문제를 유발하였다. 따라서 도로건설, 교통소통 위주의 정책을 통해 교통지체 문제를 해결하기 위해 노력하였다. 그러나 차량중심의 교통소통 정책의 한계를 인식하고 최근에는 인간중심의 녹색교통 정책으로 전환 되고 있다. 도로다이어트는 이러한 녹색교통의 하나로 추진되고 있는 개념이다. 도로다이어트는 차로수, 차로폭 등을 줄여서 확보된 공간에 자전거도로, 보행자를 위한 쾌적한 보행로 등 녹색교통을 위한 공간으로 활용하고자 하는 방법이다. 도로다이어트는 최근에 도이된 개념으로 아직 구체적이고 실증적인 연구가 많이 수행되지 못하고 있는 실정이다. 따라서 본 연구에서는 도로다이어트를 위한 차로폭 축소 방안에 대한 기초적이고 실증적인 연구를 수행하였다. 현장조사를 통해 차로를 주행하는 차량의 차로중심선에서 이격량을 분석하여 차량이 주행시에 필요로 하는 최소한의 차로폭을 분석하였다. 분석결과 소형차의 경우 조사지점별로 2.34~2.70m, 대형차의 경우에는 2.62~2.89m의 차로폭이 필요한 것으로 나타나 도로다이어트 등 설계자의 목적에 따라 차로폭을 다소 축소할 수 있도록 설계기준을 완벽할 필요가 있을 것으로 판단된다. 본 연구결과는 도로다이어트, 도로공사 등으로 인해 동행이 가능한 도록폭이 축소되었을 때 차로폭 축소를 위한 설계기준으로 활용될 수 있을 것이다.

• 대한전자공학회논문지SP
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• 제44권5호
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• pp.28-34
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• 2007

위성 영상에서 도로를 효과적으로 추출하기 위한 히스토그램 기반 도로 경계선 추출자를 제안하였다. 제안한 추출자를 이용해 도로 경계선 양측의 도로와 비도로 영역 각 화소의 방향성 히스토그램 차를 계산하고, 그 에지 강도 맵을 구하여 도로의 경계선을 추출하였다. 그리고 원영상과 분할된 도로 군집 영상의 에지 강도 맵을 계층적으로 구하여 직선 도로와 곡선 도로를 추출한 다음, 도로의 연결성을 기반으로 하여 전체 도로망을 구성하였다. 제안한 추출자는 칼라 유사도를 계산하는 기존 방법과 달리 히스토그램 차를 기반으로 하기 때문에 잡영에 강건하게 도로를 추출할 수 있으며, 도로 경계선의 위치와 도로 폭도 함께 추출할 수 있을 뿐만 아니라 도로군집을 자동식별하기 때문에 다양한 분광특성의 도로들도 쉽게 추출할 수 있다. 제안한 추출자를 이용하여 1m의 공간 해상도를 갖는 IKONOS 위성 영상에 대해 실험하여 잡영에 강건하게 도로가 추출됨을 확인하였고, 직선 도로 뿐만 아니라 곡선도로 추출도 용이함을 확인하였다.

• 한국도로학회논문집
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• 제12권4호
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• pp.71-78
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• 2010

도로의 안전성은 종단선형, 평면선형, 횡단경사(편경사), 노면온도 등 여러 가지 요인에 의하여 결정되며 이러한 각종 데이터는 도면으로 구하기 어렵고 실제 도면과 현황 데이터가 포장의 덧씌우기 등으로 달라지는 경우가 있다. 이러한 데이터를 측량하기 위해서는 많은 시간과 비용이 필요하고 차량의 통행이 빈번한 곳에서는 위험한 작업이 될 수 있다. 본 연구에서는 한국건설기술연구원의 도로 안전성 조사 분석차량인 RoSSAV(Road Safety Survey & Analysis Vehicle) 차량을 이용하여 주변 교통류 속도와 맞추어 차량에 부착된 GPS-INS와 회전식 레이저를 이용하여 도로의 횡단경사를 취득하고 분석을 통하여 도로의 안전성을 분석하고 도로의 안전성 개선방향에 대하여 제시하였다. 이를 위하여 측정된 값의 정확도를 비교하였으며 회전식 레이저데이터 처리 알고리즘을 제시하였다.

• 농촌계획
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• 제11권1호
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• pp.1-8
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• 2005

The purpose of this study is to develop a simulation model of rural road path for infrastructure of green-tourism and public service in rural areas. This study makes an objective function for moving cost minimization considering car travel time according to road characteristics, which can route the optimal shortest road paths between the center places and all rear villages, based on GIS coverages of road-village network for connecting between center places and rural villages as input data of the model. In order to verify the model algorithm, a homogeneous hexagonal network, assuming distribution of villages with same population density and equal distance between neighborhood villages on a level plane area, was tested to simulate the optimal paths between the selected center nodes and the other rear nodes, so that the test showed reasonable shortest paths and road intensity defined in this study. The model was also applied to the actual rural area, Ucheon-myun, which is located on Hoengsung-gun, Kangwon-do, with 72 rural villages, a center village (Uhang, 1st center place) in the area, a county conte. (Hoengsung-eup, 2nd center place), and a city (Wonju, 3rd center place), as upper settlement system. The three kinds of conte. place, Uhang, Hoengsung-eup, and Wonju, were considered as center places of three scenarios to simulate the optimal shortest paths between the centers and rural villages, respectively. The simulation results on the road-village network with road information about pavement and width of road show that several spans having high intensity of road are more important that the others, while some road spans have low intensity of road.