• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.3-10
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• 2014

Digital maps are made by experts who digitize the data from aerial image and field survey. And the digital maps are updated every 2 years in National Geographic Information Institute. Conventional Digitizing methods take a lot of time and cost. And geographic information needs to be modified and updated appropriately as geographical features are changing rapidly. Therefore in this paper, we modify the digital map updates the road information for rapid high-resolution aerial orthophoto taken at different times were performed HSI color conversion. Road area of the cassification was performed the region growing methods. In addition, changes in the target area for analysis by applying the CVA technique to compare the changed road area by analyzing the accuracy of the proposed extraction.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.2D
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• pp.193-201
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• 2011

The provision of traffic information plays an important role in increasing social benefit not only by saving travel time for individuals but also by improving the efficiency of road operation. VMS(Variable Message Sign) helps on-wheel drivers easily understand the road situation, and also provides real-time traffic information to people on the streets. However, it has not been sufficiently studied on how traffic information based on VMS influences on the drivers' selection of route. This study investigated how drivers use VMS traffic information and how they are satisfied with it. Then, the model of drivers' route selection was specified with the types of traffic information and the expected travel time to examine the influence on the selection of drivers' route. The model was estimated and analyzed in three types according to the condition of detour roads, and the rate of route change and the degree of sensitivity was calculated from the estimation. The results of analysis are as follows. the $1^{st}$ type model showed the 10% of route change for the travel time saving of 5minutes, and the 81.6% of route change for the travel time saving of 20minutes. The $2^{nd}$ type led to the range of route change from 14.2% to 92.7% over the 5 through 20 minutes of travel time saving. The $3^{rd}$ model resulted in the 99.1% of route change. The sensitivity of route change showed the highest for the travel time saving of 11 minutes with the $1^{st}$ type model, 9 minutes with the $2^{nd}$ type model, and 5 minutes with the $3^{rd}$ type model respectively.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.167-176
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• 1997

Due to continuous change in traffic and increase in traffic volumes at the intersection, efficient traffic control system is required to manage road situations flexibly in accordance with the change occurring every hour. In this paper, we study the control systems which will help us to determine the interva ls of intersection following the autonomous analysis of complexity of the road. Fuzzy logic control concept was applied to the fuzzy logic controller(FLC) for controlling traffic signal. Furthermore the fuzzy signal systems were compare with the regular signal systems to prove higher performance of the FLC presente d in the paper. By means of simulation, the validity of FLC was proven. About 6% increase in the efficiency of traffic control based on the proposed algorithm in this paper was when we use the simulation.

• Journal of Korean Institute of Industrial Engineers
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• v.30 no.1
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• pp.44-49
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• 2004

The aim of this study is to compare the methods in analyzing bio-signals representing measure driver's psychophysiological staus. This study has considered three approaches: first, the deterministic approach calculating the mean and standard deviation of bio-signal, second, probabilistic approach converting driver's bio-signal values to probability density function and identifying individual state relative to overall distribution, and third, diagnostic approach identifying the pattern change of signal over certain period of time. For evaluation of analysis methods, driver's bio-signal was collected under various road conditions, and three analysis approaches were applied respectively. In result, the deterministic approach was found to be simple to use, but generated a large variability of bio-signal. The probabilistic approach provide a relative status of individual driver among overall population, but too much affected by temporal variability of individual driver. The diagnostic approach seemed to reasonably find driver's psychophysiological change over certain period of time, but still needs to develop quantification method of the bio-signal.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.235-242
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• 2008

Due to the lack of judgement in an information processing on road sign, older drivers usually are having a hard time driving than young group. Furthermore, according to increasing in aging population, older drivers in Korea have been growing much faster. That means research for older drivers' characteristics and the number of guide name for road sign should be needed. In accordance with suggestions, this study was carried out the number of guide names for road sign with a variety of ages from the twenties to the seventies. For the sake of this study, statistical verification was conducted to confirm a change of speed, a reading time and a misreading rate with Driving Simulator and Electrooculogram tool. As the results of study, change of speed in the age range has shown that the higher the proportion of age, the lower the rate of velocity. Also reading time in the age range with regression analysis found that the higher the proportion of age, the higher the rate of reading time by 0.106sec. Finally, a binary logistic model was used to find the main factors. As the results, 4 number of guide names for road sign have been the best of them for older driver. The result of this study verified the importance of ideal guide numbers on road sign for older driver and proved itself to be an effective method to determine the road safety for the road signs.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.2
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• pp.108-120
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• 2008

This paper discusses the prediction of deforestation areas using probability models from forest census database, Geographic information system (GIS) database and the land cover database. The land cover data was analyzed using remotely-sensed (RS) data of the Landsat TM data from 1989 to 2001. Over the analysis period of 12 years, the deforestation area was about 40ha. Most of the deforestation areas were attributable to road construction and residential development activities. About 80% of the deforestation areas for residential development were found within 100m of the road network. More than 20% of the deforestation areas for forest road construction were within 100m of the road network. Geographic factors and vegetation change detection (VCD) factors were used in probability models to construct deforestation occurrence map. We examined the size effect of area partition as training area and validation area for the probability models. The Bayes model provided a better deforestation prediction rate than that of the regression model.

• Journal of Fashion Business
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• v.19 no.1
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• pp.34-46
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• 2015

The purpose of this study was to investigate the distribution state of road shops around the 9 main fashion trade areas in Seoul, and to analyze whether there were any differences in them based on clothing, store types and regions. Furthermore, by investigating the distribution state of road shops in the 9 main fashion trade areas per year, this study provides basic information that can be helpful in opening and securing road shops in major trade areas. The method of investigation was to analyze clothing types and store types with 72 maps of commercial areas. Samsungdesignnet investigated these areas for 8 years around the 9 main fashion trade areas (Garosugil, Gangnam nonhyun, Gangnam Station, Myungdong, Moonjung, Apgujung, Yeonsinne, Edae, and Chungdam). As a result, the distribution state of the fashion road shops based on clothing types revealed that road shops for ladies' wear, bag or shoes, and total fashion were strong, and the distribution state of non brand were strong. When it came to year-to-year trends, road shops for women's wear, bag or shoes, and total fashion showed a steady increasing tendency of being on-trend, but casuals and underwear showed a falling tendency of being on-trend. In terms of store type distribution, non-brand shops showed the most remarkable growth, followed by multi-shop while total fashion store showed a steady growth. Also, when it came to regional distribution, the dominant trade areas were different based on clothing type. Garosugil showed the widest variation in its yearly trend investigation, and Gangnam station also showed a substantial amount of growth. In other areas, there was no considerable change in the total number of shops, but increasing and decreasing markets had a complexity that depended on clothing types.

• International Journal of Highway Engineering
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• v.11 no.1
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• pp.37-45
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• 2009

The minimum distance between tunnel and interchange has several steps to go through for road users; when road user comes out of tunnel, he/she reads information on road sign and tries to change the lane, and then reaches the destination (interchange). So that's why that minimum distance between tunnel and interchange has to be designed to reflect human factors sufficiently for road's users. This study aims to set for minimum distance between tunnel and interchange with involved human factors. People aged from their twenties to their seventies took part in this experiment by using driving simulator. As a result, the minimum distance between them was loom long. When it comes to this study for minimum distance between tunnel and interchange, this study will be significant in some ways reason why this method can be applied to all road facilities for road safety on scientific basis. In the near future, It will make a recommendation concerning the most suitable data for road safety by contributing better guideline.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.16-27
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• 2015

The parcels of land alteration by existing manual work was very inefficient in terms of time and costs. Especially it caused many difficulty in estimating compensation since the work didn't take into account the range of adjoining zone to road. This study selected Gimje City of Jeollabuk-Do as a study site and could analyze the numbers and areas of parcels of land alteration considering the range of adjoining zone to road based on cadastral maps and wide road layers from new address system. Also this study applied a fuzzy membership function according to occupation ratio to road, and analyzed compensation by the range of adjoining zone to road using individual public land price information of the parcels for land alternation. Especially, the change aspect of public and private parcels could be investigated by the range of adjoining zone to road according to the fuzzy membership function. And this study could provide very efficient data in determining the priority of the parcels for land alternation through calculating compensation of the parcels for land alternation by Eup Myeong Dong according to the range of adjoining zone to road.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.364-368
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• 2018

In this paper, we use Faster R-CNN that is one of object detection algorithm and OpenCV that purposes computer vision, to implement the system that can detect danger when a vehicle attempts to change lanes into its own lane in videos of highway, national road, general road and etc. Also, the performance of implemented system is evaluated to prove that the performance is not bad.