• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.129-133
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• 2010

본 논문은 차량의 공회전시 불완전연소로 인한 일산화탄소의 배출량이 최대인 점에 착안하여 일반 네비게이션에서 제공하는 최단거리 모드로 주행했을 시와 '막힘없는 길 안내를 제공' 한다는 최신 공간정보기술인 실시간교통정보서비스를 적용했을 시의 공회전시간 및 일산화탄소 배출량을 비교 평가하여, 실시간교통정보서비스의 일산화탄소 저감효과를 추정해보기 위해 진행되었다. 대구시내의 교통정체구역인 수성구청에서 성서초등학교에 이르는 약 12km의 구간을 선정하여 2주간 동일구간을 요일별 시간대별로 주행함으로써 최단거리 안내서비스 주행시와 실시간교통정보서비스를 적용한 경로주행시의 공회전시간을 기록하고 환경부에서 제공하는 연료별 배출계수와 평균속도에 따른 일산화탄소 배출계수를 이용하여 일산화탄소 배출량을 산정하였으며, 측정결과 공회전시간이 약 28%, 일산화탄소 배출량은 약 57%의 감축효과를 보임을 확인하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.3
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• pp.90-99
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• 2020

The "Low Emission Zone" (LEZ) system restricts entry of vehicles with high air pollutants into city centers. Implementation of the system improves air environment around the world. Since 2012, operating restrictions have been applied to all of Seoul's metropolitan areas and some other metropolitan areas in the state. Beginning in December 2019, entry of 5th class vehicles to the central green transport zone of Seoul has been restricted. In this study we examine the status of operational restrictions in this zone, and predict the amount of traffic reduction expected when numbers of target vehicles are expanded in the future, we use data for each vehicle's emission grade: by region and 'Origin-Destination Traffic Volume'. After estimating the amount of traffic entering Seoul's 25 autonomous districts, by emission class, we propose a target region that may have a significant effect if target areas for automobile operation restrictions expand in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1626-1627
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• 2012

국제적으로 온실가스를 줄이기 위한 규제가 의무화 되고 있고, 국내에서도 저탄소 녹색성장이 중요한 이슈가 되고 있다. 유통물류 분야에서는 공급망을 구축함에 있어 탄소배출량을 관리하는 시스템이 요구되고 있다. 따라서 본 논문에서는 유통물류 산업에서 물품별 탄소배출량을 산정할 수 있도록 운송차량의 활동 데이터를 수집하는 방안을 고안하고 구현한다.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.85-93
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• 2011

Many policies, such as transit-oriented development, encouraged use of bicycle and pedestrian, reduction of green house gas (GHG) and etc., have been deployed to support transport sustainability. Although various studies regarding GHG were presented, no one has yet adequately explained the behavior of travelers. This paper proposes a GHG emission model by highlighting its sensitivity, elasticity with regard to such travel cost as travel time, travel fare, and GHG pricing, introduced to reduce the amount of GHG in transportation system. For better estimation of GHG, the proposed model adopts (1) a production-constrained gravity model and (2) the travel distance from the origin and the destination (OD). The gravity model has a merit that it considers travel pattern between OD pairs. The model was tested with an example, and the promising results confirmed its validation and applications.

• Bulletin of Korea Environmental Preservation Association
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• s.397
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• pp.40-43
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• 2012

현대자동차는 글로벌 환경이슈인 기후변화에 대응하기 위해 공장 부문과 본사 서비스, 판매, 연구소 등 건물부문에서 사업장 온실가스 배출량을 감축하기 위해 노력하고 있다. 한편 제품의 $CO_2$ 배출량을 줄이기 위해서는 기존 차량의 연비를 개선하는 동시에 하이브리드, 전기자동차 수소연료전지차 등 친환경 자동차를 개발하고 있다.

• 한국ITS학회:학술대회논문집
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• 2004.11a
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• pp.276-281
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• 2004

• Applied Chemistry for Engineering
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• v.25 no.2
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• pp.222-226
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• 2014

In this study, the purposes are investigating and analyzing car emission factors for estimating road emissions and the legal framework for the control of particulate matters. At the result, when input emission data are not realistic, the modeling output concentration distributions can lead to a serious distortion of the results. So, the spatial analysis of the dust emission vehicles have to be based on the actual traffic volumes. Because dust emission factors used in the car by National Institute of Environmental Research Method (2010) are mainly targeted for 2003-2007 cars these could not reflect the effect of DPF and the dust emission of gasoline passenger car. So, the real dust emission factors of diesel and gasoline cars need to be developed.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.382-383
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• 2003

이동오염원에 의한 VOCs의 배출기여도를 산정 평가한 국내외의 자료에 따르면, 전체 VOCs 배출량 중 이동배출원에 의한 기여도는 미국이 26 ％, 유럽이 38 ％, 한국이 45 ％ 정도를 점할 정도로 비중이 큰 배출원으로서 주목을 받고 있다. 뿐만 아니라 배출성분 중에는 포름알데히드, 벤젠, 크실렌, 톨루엔, 1,3-butadiene 등과 같이 인체에 매우 유해한 성분이 상당수 포함되어 있기 때문에, 이들은 주관리 대상 배출원으로 간주되고 있다. (중략)

• Journal of the Society of Disaster Information
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• v.17 no.1
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• pp.165-175
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• 2021

Purpose: The purpose of this study is to quantitatively present the carbon dioxide(CO₂) emission change according to the application of autonomous driving technology at the network level for waste vehicles in the metropolitan area. Method: The target year was set to 2030, and the analysis method estimated the carbon dioxide (CO₂) emissions for each road link through user equilibrium assignment when unapplied scenario. The application scenario performed traffic assignment using route data on the premise that the group was running in accordance with the application of autonomous driving technology to waste vehicles. In addition, the other means estimated the carbon dioxide emissions through user balance allocation by reflecting the results of the waste vehicle allocation. Result: As a result of the analysis, carbon dioxide(CO₂) emissions were found to be reduced by about 56.9ton/day from the national network level, and the Seoul metropolitan area was analyzed to be reduced by about 54.7ton/day. Conclusion: This study quantitatively presented environmental impacts among various social effects that autonomous driving technology will bring, and in the future, development of various analytical methodologies and related studies should be continuously conducted.

• Journal of the Korean Data and Information Science Society
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• v.23 no.2
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• pp.247-256
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• 2012

Recently, estimation of greenhouse gas (GHG) emission has continuously emerged as an important global issue. This study compares various statistical methods for estimation of fuel consumption, which is necessary for calculation of GHG emission in road transportation sector. Existing methods have focused on using merely transportation fuel supply or distance traveled for calculation of fuel consumption. Estimates of GHG emission based on fuel supply, however, cannot reflect various vehicle types or model year. This study suggests and compares, from statistical point of view, several methods, which can be applied to estimate fuel consumption of each vehicle, by combining distance traveled and fuel efficiency (mileage), and total fuel consumption of all vehicles. It also suggests practical measures that can reflect vehicle types and model year to suggested methods for future research.