• 한국공간정보시스템학회:학술대회논문집
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• 2000.06a
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• pp.221-227
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• 2000

국가지리 정보체계 (NGiS: National Geographic information Systems) 기본계획 하에서 국가수치기본도가 완성되었음에도 불구하고 교통부문에 GIS의 활용이 미흡하다. 그 이유는 기존 교통관련 S/W가 교통GIS DB를 받아들일 수 없기 때문이다. 이러한 시점에서 본 연구에서는 NGIS에 기초한 교통GIS DB의 이용활성화의 일환으로 교통GIS DB와 기존 교통계획S/W와 상호 Interface할 수 있는 전환 모듈을 개발하였다. 구체적으로는 기존 GIS S/W를 활용하여 교통GIS DB와 기존 교통계획 S/W인 TRANPLAN간의 연계모듈을 개발하였다. 최종적으로는 개발한 연계모듈을 서울시 강남구, 서초구와 경기도 과천시, 용인시에 걸친 일대를 시범지역으로 적용해보았다.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.117-127
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• 2009

This study analyzed the uncertainty of the forecasted link traffic flow, and estimated of the interval link flow using Korea Transport Data Base (KTDB) to consider those risks into the feasibility study. In the paper, the uncertainty was analyzed according to the stochastic variation of the KTDB origin-destination traffic. It was found that the uncertainty of the entire network traffic forecasts was 15.4% in average,. when the stochastic variation of the KTDB was considered. The results showed that the more congested the roads were, the bigger the uncertainty of forecasted link traffic flow were found. In particular, we estimated the variance of the forecasted traffic flow, and suggested interval estimates of the forecasted traffic flow instead of point estimates which were presented in the common feasibility studies. These results are expected to contribute the quantitative evaluation of uncertain road investment projects and to provide valuable information to the decision makers for the transport investment.

• Digital Contents
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• no.9 s.136
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• pp.61-67
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• 2004

한국데이터베이스진흥센터가 주관하는 2004년 제1차 공공기관 우수 데이터베이스(DB) 시상식이 지난달 20일 한국관광공사빌딩 지하 강당에서 개최됐다. 지난해 통계∙기상∙기업∙법률∙특허 등 5개 분야 DB 10종을 우수DB로 선정한 한국데이터베이스진흥센터는 올해 공공기관 DB를 대상으로 우수DB 6종을 선정했다. 이번에 선정된 공공기관 우수DB 6종은 재정경제부, 문화관광부, 산업자원부, 건설교통부와 산하 공 공기관에서 운영하고 있는 데이터베이스 가운데 건설교통, 경제산업, 문화예술 등 3개 분야에서 품질이 우수한 각 2종씩의 DB가 선정됐다. 건설∙교통 분야에서는 한국도로공사의‘로드플러스’와 건설교통부의‘건설교통종합정보센터’가 선정됐고, 경제∙산업 분야에서는 조달청의‘나라장터’와 한국은행의‘경제통계시스템’, 문화∙예술 분야에서는 한국관광공사의‘Visit Korea’와 문화재청의‘국가문화유산종합정보서비스’가 선정됐다. 한국데이터베이스진흥센터는 올 11월경 정보통신, 교육학술, 과학기술분야를 대상으로 제2차 우수 DB를 선정할 계획이며, 자세한 내용은 데이터베이스품질평가센터(www.dbq.or.kr)에서 소개하고 있다.

• LOGISTICS
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• s.11
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• pp.50-52
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• 2005

• 한국도로학회:학술대회논문집
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• 2009.11a
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• pp.307-312
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• 2009

• Transportation Technology and Policy
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• v.3 no.3
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• pp.151-162
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• 2006

• Transportation Technology and Policy
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• v.4 no.4
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• pp.19-29
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• 2007

• LOGISTICS
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• no.7
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• pp.32-33
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• 2003

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.1
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• pp.297-304
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• 2013

Due to its excessive $CO_2$ emissions, road transport sector becomes a target for emission reduction strategies. Although precise and reliable emissions inventories are necessary for evaluating plans and strategies, developing the region-wide inventory is a difficult task mainly because of a lack of data including travel patterns and modal volumes in the reginonal context. Most existing inventory methodologies employ fuel sale data within the target region, which ignores actual regional traffic patterns and thus not suited to its geographical context. To overcome these problems, this study develops region-wide $CO_2$ emissions inventory methodology by utilizing the Korea Transport DB (KTDB). KTDB provides a number of useful information and data, such as road network with which one can identify in and out trips over the entire region, traffic volumes of various modes, distance of travel, travel speed and so on. A model of equations that allow the computation of volume of $CO_2$ emitting from the road transport activities within the target region is developed. Using the model, numerical analyses are performed for the case of Busan Metropolitan City to demonstrate the applicability of the developed model. This study is indeed exploratory in the sense that using the existing data, it develops the $CO_2$ emissions inventory methodology which can produce better results than those from conventional fuel sales methodology. This study also suggests further reresarch directions to develop more refined methodologies in region-wide basis.

• Journal of Korean Society of Transportation
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• v.35 no.3
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• pp.220-233
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• 2017

Traffic volumes are fundamental data widely used in various traffic analysis, such as origin-and-destination establishment, total traveled kilometer distance calculation, congestion evaluation, and so on. The low number of links collecting the traffic-volume data in a large urban highway network has weakened the quality of the analyses in practice. This study proposes a method to estimate the traffic volume data on a highway link where no collection device is available by introducing a spatial statistic technique with (1) the traffic-volume data from TOPIS, and National Transport Information Center in the Ministry of Land, Infrastructure, and (2) the navigation data from private navigation. Two different component models were prepared for the interrupted and the uninterrupted flows respectively, due to their different traffic-flow characteristics: the piecewise constant function and the regression kriging. The comparison of the traffic volumes estimated by the proposed method against the ones counted in the field showed that the level of error includes 6.26% in MAPE and 5,410 in RMSE, and thus the prediction error is 20.3% in MAPE.