• 대한교통학회:학술대회논문집
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• 대한교통학회 1998년도 Proceedings The 4th International Transport Symposium
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• pp.79-90
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• 1998

The current increases in fuel price contribute to reducing level of congestion and air pollution. In this paper, this measure is compared with the congestion toll charge and the 10 'buje'(a $10\%$ demand control measure of registered vehicle i.e. each vehicle can not operate when its plate's last digit matches the last digit of the date). The purpose of our study is to give a priority order to various measures and to propose the win-win solution of Seoul for policy makers. We recommend the congestion toll charge coupled with some metering measures is the win-win solution for Seoul. Also we conclude a priority order such as metering; congestion toll charge; increase in parking fee; increase in fuel price; the 10 'buje' must be acceptable for implementation. Various ITS subsystems needed to support the proposed win-win solution are identified and field operational tests for them are introduced in this paper.

• 자동차안전학회지
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• 제13권2호
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• pp.50-56
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• 2021

The purpose of this study is to investigate vulnerable parts of tower crane structures by analyzing extensive non-destructive test data. Approximately ten percent of domestically registered tower cranes were inspected by using magnetic particle inspection. The testing was carried out as advised in KS B 0213. The non-destructive results was analyzed with respect to jib types, age and crane size. As a result, the number of crack occurrences were the largest in mast parts, followed by main jib part. Moreover, it was found that turntables were important parts deserved to be noticed at the perspective of safe maintenance.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 춘계학술대회 논문집
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• pp.521-527
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• 2011

Korea announced GHG reduction goal, 30% reduction compare with 2020 BAU and reduction target for each industry sector is planning. Transportation sector also trying to make effective technical and political counterplan of allocated GHG reduction target such as material lightening, energy efficiency improvement and Modal shift technology and so on. Modal Shift is shifting low energy efficiency vehicle to high energy efficiency vehicle which is economically meaningful under current market conditions. We can get not only energy efficiency improvement but also GHG reduction effect through modal shift. Modal Shift is effectively applying and studied in logistics field in Europe and Japan and one of the Indian companies has been registered CDM project activity involving modal shift from roadways to railways for finished goods. In this study, the scenarios are developed with detail modal shift ratio and fuel type base on state of road and rail use and GHG emission factor for each fuel type from MLTM. This result can be used as basic information to improve policies and promote increasing use of train which is more environment friendly transportation vehicle.

• 한국기계가공학회지
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• 제9권5호
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• pp.20-27
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• 2010

In this study, we improved problems in the existing product by PARKER and developed the swivel valve tube couplers that can be produced by a low price in Korea. The major development was that a modulized production method was implemented by introducing a part assembling method that uses a cocking jig, and the production cost was reduced by operating the production process more simply than that of PARKER. Also, it was possible to avoid the patient registered by PARKER through the differences in the number of grooving processes and the type of o-ring. In the results of the rotation test by varying its application angle after installing it to a vehicle, it was verified that the structure proposed in this study can endure the eccentric torque and transformation pressure for various angles that have been considered as the problem in the existing fixed tube couplers. In addition, the structure was developed to adopt the problem that represents differences in the installation position of an air tank or the length and direction of hoses according to the type of vehicles produced in vehicle manufacturers. Furthermore, it was possible to verify that the product developed in this study was more excellent than that of PARKER through comparing the performance according to the Federal Motor Vehicle Safety Standard.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.173-176
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• 2021

자율주행은 4차 산업혁명을 이끄는 주요 기술이다. 최근 자율주행 기술의 진보와 규제완화로 인해 레벨 3 이상의 자율주행자동차 상용화가 본격화될 전망이다. 본 연구는 자율주행 분야의 특허 분석을 통해 기술의 경쟁력을 평가해 보고자 한다. 본 연구에서는 2021년 7월까지의 출원 공개 및 등록된 한국, 미국, 일본 및 유럽의 특허를 대상으로 특허 동향을 분석하고, 특허지표 분석을 실시하였다. 이를 통해 자율주행 기술에 대한 경쟁력을 갖추기 위해 집중해야 할 세부 기술을 파악하고 한국의 국가 경쟁력을 진단하고자 한다.

• 자동차안전학회지
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• 제7권2호
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• pp.15-18
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• 2015

The availability of in-depth accident data is a prerequisite for each efficient traffic safety management system. Identification and definition of the relevant problem together with knowledge of the data and parameters describing this problem is essential for its successful solution. Comprehensive, up-to-date, accident data is needed for recognition of the scope of road safety problems and for raising public awareness. Reliable and relevant data enable the identification of the contributory factors of the individual accidents, and an unveiling of the background of the risk behaviour of the road users. It offers the best way to explore the prevention of accidents, and ways to implement measures to reduce accident severity. In this study, reviewing the existing iGlad and GIDAS system, KIDAS data format can be finalized through feasibility evaluation. The progressive approach is proposed to successful settlement of Korea in-depth accident study. As the initial stage of in-depth investigation DB construction, the KIDAS is not repetition of the current police based TAAS. It is essential part of improving vehicle safety and reduction of traffic fatality in Korea. 72 Contributing factors like road and traffic characteristics, vehicle parameters, and information about the people involved in the accident have to be investigated and registered as well in the KIDAS.

• 한국대기환경학회지
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• 제27권4호
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• pp.405-415
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• 2011

The objective of this study was to compare greenhouse gas emissions from road transportation by calculation methods (Tier 1, Teir 2, and Tier 3). Tier 1 based on 2006 IPCC guidelines default emission factor and amount of fuel consumption. The Tier 2 approach is the same as Tier 1 except that country-specific carbon contents of the fuel sold in road transport are used. Tier 2 based on emission factor of guidelines for local government greenhouse gas inventories (Korea Environment Corporation), the fuel consumption per one vehicle, and the registered motor vehicles. The Tier 3 approach requires detailed, country-specific data to generate activity-based emission factors for vehicle subcategories (National Institute of Environmental Research) and may involve national models. Tier 3 calculates emissions by multiplying emission factors by vehicle activity levels (e.g., VKT) for each vehicle subcategory and possible road type. VKT was estimated by using GIS road map and traffic volume of the section. The GHG average emission rate by the Tier 1 was 728,857 $tonCO_2eq$/yr, while Tier 2 and Tier 3 were 864,757 $tonCO_2eq$/yr and 661,710 $tonCO_2eq$/yr, respectively. Tier 3 was underestimated by 10.1 and 20.7 percent for the GHG emission observed by Tier 1 and Tier 2, respectively. Based on this study, we conclude that Tier 2 is reasonable GHG emissions than Tier 1 or Tier 3. But, further study is still needed to accurate GHG emission from Tier 3 method by expanding the traffic survey area and developing the model of local road traffic.

• 한국ITS학회 논문지
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• 제9권6호
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• pp.94-104
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• 2010

도로 용량은 제한적이나 교통수요의 증가로 인해 지체가 발생하고 온실가스 배출량을 증대시킨다. 최근 온실가스를 감축하기 위한 노력의 일환으로 청정개발체계 등이 활용되고 있다. 그러나 교통부문의 청정개발체계 채택사례는 아직 미흡한 실정이다. 교통부문의 청정개발체계를 활성화하기 위해서는 온실가스 배출량 산정방법론 관련 추가적인 연구의 필요성이 제기된다. 따라서 본 연구에서는 청정개발체계 승인 기관인 유엔에서 채택하고 있는 베이스라인 방법론을 바탕으로 ITS 서비스 중 첨단차량 및 도로 도입 시 온실가스를 정량적으로 산정하는 방법론을 개발하였다. 교통량과 통행시간의 관계식인 BPR 함수식을 이용하여 첨단의 자동운전차량들로 구성된 교통상황과 일반 차량들로 구성된 교통상황에서의 통행시간을 각각 산출하여 속도를 비교 검토하였다. 산정된 속도 값을 국내의 도로상황을 잘 반영한 국립환경과학원의 차종별 연료별 온실가스 배출계수 식에 적용하여 $CO_2$ 배출량을 산정하였다. 본 연구에서 개발한 방법론의 타당성을 입증하고자 시뮬레이션을 수행하였다. 시뮬레이션을 수행한 결과, 안정류일 때는 첨단차량으로 구성된 도로의 $CO_2$ 배출량이 일반차량의 $CO_2$ 배출량보다 증가하는 경향을 보였으나 교통량이 용량에 근접하는 불안정류일 때는 첨단차량의 $CO_2$ 배출량이 일반차량의 $CO_2$ 배출량에 비해 현격히 감소하는 것으로 나타났다. 이는 불안정류 교통상황에서 시스템의 도입으로 인해 용량이 증대됨으로서 많은 교통수요를 처리하고 도로이용의 효율성이 향상됨을 알 수 있다.

• 자원리싸이클링
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• 제16권1호
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• pp.15-27
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• 2007

1982년에 폐차제도가 도입되고, 1987년에는 자동차관리법이 제정되어, 우리나라 폐차업은 폐차(ELV)의 회수체계 및 등록말소 등에는 다른 나라에서 볼 수 없는 우수한 시스템을 갖추고 있다. 그리고 현재 폐차는 유상으로 시장경제원리에 의해서 처리되 있다. 그러나 폐차의 자원으로서의 인식과, 재활용율의 제고 그리고 환경성을 감안한 폐기물의 적정처리에 있어서는 규제와 노력이 미흡한 현황임을 부정할 수 없다. 한편, 정부에서는 지금 자동차리싸이클링에 관한 법률을 제정 중에 있다. 이 시점에 즈음하여 필자는 자동차리싸이클링에 관계되는 법 제도의 변천, 폐자동차의 리싸이클링 현황과 문제점을 정리하고자 하였다. 그리고 한국적 자동차리싸이클링 모델의 골격을 제시하여, 우리나라 자동차리싸이클링산업의 건전한 발전을 추구하였다.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1445-1456
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• 2018

Environment perception and three-dimensional (3D) reconstruction tasks are used to provide unmanned ground vehicle (UGV) with driving awareness interfaces. The speed of obstacle segmentation and surrounding terrain reconstruction crucially influences decision making in UGVs. To increase the processing speed of environment information analysis, we develop a CPU-GPU hybrid system of automatic environment perception and 3D terrain reconstruction based on the integration of multiple sensors. The system consists of three functional modules, namely, multi-sensor data collection and pre-processing, environment perception, and 3D reconstruction. To integrate individual datasets collected from different sensors, the pre-processing function registers the sensed LiDAR (light detection and ranging) point clouds, video sequences, and motion information into a global terrain model after filtering redundant and noise data according to the redundancy removal principle. In the environment perception module, the registered discrete points are clustered into ground surface and individual objects by using a ground segmentation method and a connected component labeling algorithm. The estimated ground surface and non-ground objects indicate the terrain to be traversed and obstacles in the environment, thus creating driving awareness. The 3D reconstruction module calibrates the projection matrix between the mounted LiDAR and cameras to map the local point clouds onto the captured video images. Texture meshes and color particle models are used to reconstruct the ground surface and objects of the 3D terrain model, respectively. To accelerate the proposed system, we apply the GPU parallel computation method to implement the applied computer graphics and image processing algorithms in parallel.