• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.494-496
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• 2013

Cost-Benefit Analysis (CBA) is a systematic optimization process that allows users to compare different alternatives and to determine if a project is a solid investment. Many state DOTs have included CBA in their pavement management systems (PMSs) to help allocate state funds for maintenance, rehabilitation, resurfacing, and reconstruction of pavements. In a typical CBA, each pavement type has an assigned weight factor which represents the level of importance of this pavement type. To conduct an accurate CBA, it is essential to select appropriate weight factors. Arbitrarily assigning weights factors to pavements can lead to biased and inaccurate funding allocation decisions. The purpose for this paper is to outline a method to develop an ideal set of weight factors that can be utilized to conduct more accurate CBA. To this end, a matrix of all possible weight factors sets was developed. CBA was conducted for each set of weight factors to obtain a population of possible optimization solutions. Then a regression analysis was performed to establish the relationship between benefit and weight factors. Finally, a multi-objective genetic algorithm was applied to select the optimal set of weight factors. The findings from this study can be used by state DOTs to strategically manage their roadway systems in a cost effective manner.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 추계학술발표회 논문집
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• pp.319-324
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• 2004

With a PMS, a maintenance plan should be drawn up after surface conditions are precisely examined and analyzed. The majority of the present PMSs are run by the fact that experts first examine surface conditions on sites, and then enter results into systems. However, considering the actual circumstances of the present time and an increase in paved road hereafter, it is inefficient that experts examine the whole paved roads in person and long-lasting PMSs can not be kept up. Therefore, in the study digital photogrammetry was used to examine asphalt concrete pavements. In a consequence, it was found that if databases are implemented in the future with quality digital image information accumulated from studies on roads, they will be able to provide the field of pavement management system with a large amount of information and data.

• 대한공간정보학회지
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• 제12권3호
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• pp.51-59
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• 2004

포장노면관리시스템은 노면의 상태를 정밀히 조사 분석하고 유지보수에 대한 계획을 수립할 수 있는 시스템으로 구성하여야 한다. 현재 구축되어 있는 대부분의 포장노면관리시스템은 전문가가 현장에서 노면의 상태를 조사한 후 그 결과를 입력하도록 되어있다. 현재의 실정과 향후의 포장도로의 증가를 고려할 때 포장도로 전체를 전문가가 직접 조사하는 것은 비효율적 일 뿐만 아니라 지속적인 포장노면관리시스템의 유지가 어려운 실정이다. 따라서, 다중영상표정과 광속조정법에 의해 결정된 도로노면의 3차원 좌표의 정확도를 분석한 결과 표준오차의 평균은 X방향으로 0.0427m, Y방향으로 0.0527m, Z방향으로 0.1539m로 나타났다. 이 결과는 우리나라에서 현재 제작하여 사용하고 있는 축척 1:1000 이하의 지도제작 및 GIS 자료로서 충분히 활용성이 있다.