• International Journal of Highway Engineering
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• v.9 no.4
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• pp.129-134
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• 2007

In general, based on traffic data in a ideal traffic condition, BPR cost function is used to a variety of transportation policies. However, Some researchers have reported that BRP cost function is not appropriate for analyzing traffic pattern as well as forecasting future demand.(Spiess, 1989 ; Singh, 1999) Therefore, in this paper to solve this problem, a methodology based on data through Micro traffic Simulator Based(MSB) is developed. As a result following outputs are obtained ; (1) presenting a methodology to develop a travel cost function through VISSIM in order to assess transportation policies and (2) developing BRP cost function and MSB cost function from data analysis through VISSIM and verifying availability of MSB function by comparative analysis.

• Journal of Korean Society of Transportation
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• v.31 no.5
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• pp.26-36
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• 2013

Highway traffic safety evaluation of area on the basis of the accident rate has a limitation, thus its result is dependent on the exposure variables. It works an obstacle to decision making for effective budget execution. In this paper, we developed a methodology of taking simultaneously macroscopic exposure indicators into account in evaluating the safety using least squares method. The weight of exposure indicators to make up of highway traffic safety evaluation index is that accident rate per population, accident rate per registration vehicle and accident rate per length of road is 0.29, 0.52 and 0.19 respectively and calculated the highway traffic safety index of total local governments in Korea. The methodology to calculate highway traffic safety evaluation index proposed in this paper can be utilized in executing the traffic safety policies to increase the efficiency of investment about traffic safety budget.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1370-1376
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• 2012

This study tried to analyze $CO_2$ emission volume as green-house gases by application of land use patterns and transport policies in District Unit Design. It is postulated a Toy network and various scenarios which are combined land use patterns and transport policies for analyzing $CO_2$ gas reduction. As results, this study shows best District Unit Design technique is the policy that develop mid block and introduction of car free zone to inner 2 way streets. Worst design technique is the policy that make hierarchical network and introduction of access control to outer roads that have been known as a best road policy till nowadays. Therefore, we need more carefully introduce design technique for reduction of $CO_2$ in District Unit.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1271-1274
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• 2012

최근 과학적 정책결정의 합리성을 뒷받침하기 위해 신속하고 정확한 통계정보에 대한 수요가 급증하고 있다. 이에 국토해양부는 매년 발간하는 도로현황조서의 신속한 자료 취합 및 시의적절한 맞춤형 통계자료 제공 등 활용성 제고를 위해 도로현황조서시스템 구축을 진행하고 있다. 본 논문에서는 기존 도로현황조서 작업업무 및 제한사항을 분석하고, 도로현황 정보에 대한 다양한 요구사항에 대처하기 위해 웹기반의 도로현황조서시스템 구축방안에 대하여 기술하고자 한다.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.151-162
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• 2012

It is not surprising to hear news about irresistible natural disasters all over the world due to climate change. Korean Government has focused on developing a variety of green technologies to reduce green house gasses, in particular, carbon dioxide. This study suggested 18 technology divisions for achieving green highway technology development in six different sub-sectors considering life-cycle of roadway and surveyed 29 highway and/or transportation professionals of three institutes using AHP(Analytical Hierarchy Process) analysis to construct "Green Highway"and realize carbon emission reductions and energy use efficiency in a road sector in Korea. Expert Choice Software was used to rank 18 technology divisions weighted by two-level choices. Transport Operating Infrastructure Improvement, Roadway Policy Implementation, Green Transportation(such as Pedestrian and Bicycle) were highly ranked by respondents according to results of the AHP modeling. Among the 18 divisions, technology policy for supporting R&D investments from development to commercialization was ranked as the most significant one to be focused. Green Transportation Facility Design/Construction/Operation and Eco-Friendly Roadway Plan were followed as expected since professionals have thought that the planning/design step of the life-cycle is a starting point to reduce carbon dioxide from roads more and more. Additionally, comparing the results with the Government investment trend 2006-2011 for the roads, it can be interpreted that the Government should invest to the R&D area more widely than before to promote element and core technology development for Green Highway Construction. Above all, small and mid-sized businesses have to be invested as well as encouraged to undertake green highwayrelated objects to accomplish the divisions which ranked high.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.299-300
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• 2022

4차 산업혁명으로 자율화·지능화됨에 따라 육·해상의 교통수단에 ICT 기술을 활용한 자율운행차 자율운항선박 등 신기술 및 서비스 개발이 점차 확대되고 있다. 본 연구에서는 해상분야의 자율운항선박 자율주행에 필요한 기술 도출을 위한 방법으로 육상분야의 자율주행차량의 핵심기술인 센서기술과 AI기술에 대해 알아보고 비교 분석하고자 한다. 자율주행차 주행을 위한 기술개발은 센서와 정밀도로정보(지도) 2트랙으로 개발이 진행되고 있으나, 최근 센서 오류 등으로 인한 사고발생이 잦아 정밀도로정보(지도) 중요성이 증가하고 있어 정밀도로 정보 구축을 서두르고 있다. 반면 자율운항선박의 경우 충돌회피 기술, 최적항로 개발, 정보보안 등 기술개발이 이루어지고 있으나 AI용 수로정보에 한 대비는 진행되고 있지 않고 있다. 따라서, 자율운항선박의 안전한 자율주행을 위한 방법으로 AI 알고리즘 연산과정에서 기계적으로 이용 가능하고 목적에 적합한 수로정보 구축이 필요하며 우리나라 선박의 안전운항을 위해 국가차원에서 수로정보 수집 및 생산을 담당해야 하므로 국가에서 주도하에 연구개발이 진행되어야 할 것이다.

• Transportation Technology and Policy
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• v.6 no.4
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• pp.121-132
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• 2009

• 한국도로학회:학술대회논문집
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• 2010.03a
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• pp.267-272
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• 2010

• Transportation Technology and Policy
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• v.8 no.1
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• pp.51-60
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• 2011

• Journal of the Society of Disaster Information
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• v.13 no.1
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• pp.96-105
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• 2017

Global warming, mainly caused by CO2, is one of the on­going cataclysms of the human race. The nation­wide policy to reduce greenhouse gases (GHG) has been enforced, for which it is crucial to estimate reliable GHG emissions. The unit load of road­section CO2 emission (URSCE) is a prerequisite for the evaluation of GHG emissions from road mobile source, and it is mainly computed using vehicular velocity source. Unfortunately, there is real­world limitations to collect and analyse representative speed data for nation­wide road network. To tackle this problem, a method for the evaluation of URSCE, proposed in this study, is based on a disaggregated way using big GPS vehicle data. The method yields more accurate URSCE than an current aggregated data based approach and can be directly employed for nation­wide road systems.