• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.17-22
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• 2002

This paper is concerned with a local detection of road on an airborne SAR image. The roads can be characterized by their geometry and radiometry. Roads are assumed as linear, thin, and elongated objects that are darker than their surroundings on an airborne SAR image. With these assumptions, a series of morphological filters are applied and tested successively. This approach is simple and almost non parametric and has been successfully applied to an airborne SAR image.

• Journal of the Korean Professional Engineers Association
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• v.42 no.1
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• pp.44-48
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• 2009

About past 30 years, we don't have enough consideration and investigation about DB-Load. While 30 years, weight of truck is heavier and condition of roads differ, so many conditions of roads and vehicles are changed. We must consider change of many conditions and we must improve laws about maintenance of DB-Load. and now we must consider that low grade as well as high grade bridge can cross heavy vehicle and harmony between changed size of vehicle and bridge while making laws and code. So we can apply to improve design properly.

• Journal of the Korean Institute of Intelligent Systems
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• v.4 no.2
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• pp.13-23
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• 1994

This study proposed a method of accessment for traffic flow on roads based on the driver's decision making. In order to, an attempt is carried out to express driving speeds through driver's congnitive language theoretically and experimentally. Membership function is derived to express driver's congnitive language about driving speed through a fuzzy set theory and examines the applicability for speed evaluation. As a resul, the membership function of the recognized as medium by drivers almost agrees with the frequency distribution of speeds on roads constrtained at 50km/h.

• Journal of Industrial Convergence
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• v.14 no.2
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• pp.25-31
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• 2016

As the importance of big data begins to be recognized, the government, local self-governing bodies, and corporations have taken interest in big data. However, unlike the past, there is various typical and atypical data, and some fields make use of big data planning and analytical technique, which is opening a way to capture new opportunities. The present study analyzes an improvement plan for bicycle roads by using the public data of Seoul and proposes its implications.

• Journal of Navigation and Port Research
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• v.30 no.10 s.116
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• pp.819-823
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• 2006

Since the north port in Busan started to operate in general pier (1, 2, central, 3 and 4), the business area had been expanded to Jasungdae, Shinsundae, Gamman zone and so on However, these zones adjoin the Busan city and have caused problems to both logistics and city activities. The operation of Off-Dock Container Yard (ODCY) is a representative example due to the limited sphere of Container Yard in this city. It increases logistics costs and causes serious social problems as a result of increasing traffic in the trunk roads such as Uam and Chungjang roads. This paper aims to analyze the effects of the reduction in traffic of trunk roads in Chungjan, Uam roads and so on, when General Pier and Jasungdae Pier are Re-developed. The effects of the reduction in social cost from traffic congestion are also analyzed. Finally, we predict and evaluate the effects according to the re-development of two piers, north pier and Jasungdae pier.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.413-422
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• 2013

In this paper, we propose a novel method for real-time lane detection that is robust for inclined roads and not require a camera parameter, the Inverse Perspective Transform of the image, and the proposed lane filter. After finding the vanishing point from the start frame of the image and storing the region surrounding the vanishing point as the Template Area(TA), our method predict the lanes by scanning toward the lower part from the vanishing point of the image and obtain the image removed the perspective effect using the Inverse Perspective Transform coefficients extracted based on the predicted lanes. To robustly determine lanes on inclined roads, the region surrounding the vanishing point is set up as the template area (TA), and, by recalculating the vanishing point by tracing the area similar to the TA (SA) in the input image through template matching, it responds to the changes on the road conditions. The proposed method for a more robust lane detection method for inclined roads is a lane detection method by applying a lane detection filter on an image removed of the perspective effect. Through this method, the processing region is reduced and the processing procedure is simplified to produce a satisfactory lane detection result of about 40 frames per second.

• Particle and aerosol research
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• v.10 no.2
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• pp.61-75
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• 2014

Five on-road measurements were made using a mobile laboratory (ML) to characterize spatial and temporal air pollutant distributions over roads around a day-care center in urban area on 30 August 2013. Fixed monitoring was also done near the day-care center using the ML during the periods between on-road measurements. On-road air pollution monitoring route was classified into seven sections and three zones to identify severe polluted roads among many roads having different traffic volumes and directions. Typical pollutants emitted from vehicles such as $NO_x$, black carbon, particle-bound polycyclic aromatic hydrocarbons, and submicron particles including nanoparticles were monitored using real-time instruments. Peak concentration episodes were frequently observed during the on-road measurements and most peaks were simultaneously monitored at four pollutants. Colored on-road air pollution map for each pollutant provides an insight on spatial air pollution distribution, showing heavily polluted roads and sections. Average on-road $NO_x$ concentration of each run was similar to that monitored at the nearest roadside air monitoring station.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.4
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• pp.43-51
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• 2003

The purpose of this study was evaluate to the stability on cut slope of forest roads by forest environmental factors. The total of 19 environmental factors on cut slope of forest roads were investigated in about 42.74km constructed during 1987 to 1993 in Gyeongnam and Jeonnam province. The evaluation of slope stability in forest roads were conducted by the discriment analysis. The main factors influencing the stability of cut slope were significant in order of coverage, soil hardness, degree of slope, altitude, silt loam, convex(凸) and compound(凹凸). The centroids value of discriminant function in the stability and unstability area estimated to -1.194 and 1.127, respectively. The boundary value between two groups related to slope stability was -0.072. The prediction rate of discriminant function for stability evaluation of was as high as 90.4%.

• Korean Journal of Veterinary Service
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• v.33 no.4
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• pp.401-409
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• 2010

From 2006 through 2007, the highest need for the most urgent attention in Gangwon-do Wild Animal Rescue Center was wildlifevehicle collisions (WVC). The Korean Ministry of Environment reported 6543 WVC's in 2005 and 5565 cases of WVC's in 2006. In this study, data from the Gangwon-do Wild Animal Rescue Center was utilized to analyze WVC incidents and the movement of wildlife near roadways in Korea. From 2006 through the first half of 2008, the portable GPS device recorded accident location of the injured wildlife. Attempts were made to track and monitor the movements of four raccoon dogs and five Korean water deers near the roads. One raccoon dog and one Korean water deer were successfully tracked and monitored. Their locations were transmitted to cell phones. The amount of WVC's was highest amongst the roads near the forests of Gangwon-do. The devices installed on the nearby roads did not protect the wildlife from WVC's. Results using the CDMA-type GPS collar showed that wildlife often crossed the road even with devices installed to prevent this from crossing roads. This research analyzed the behaviors of different wildlife animals and WVC's. New preventative measures need to be established to avoid roadkill. It is suggested that new streets be built or for an appropriate speed limit be implemented.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39A no.6
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• pp.322-332
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• 2014

This paper proposes a robust lane detection algorithm for non-flat roads by combining a piecewise linear model and dynamic programming. Compared with other lane models, the piecewise linear model can represent 3D shapes of roads from the scenes acquired by monocular camera since it can form a curved surface through a set of planar road. To represent the real road, the planar roads are created by various angles and positions at each section. And dynamic programming determines an optimal combination of planar roads based on lane properties. Experiment results demonstrate the robustness of proposed algorithm against non-flat road, curved road, and camera vibration.