PURPOSES : This study aims to examine the differences between the existing traffic demand forecasting method and the traffic demand forecasting method considering future regional development plans and new road construction and expansion plans using a four-step traffic demand forecast for a more objective and sophisticated national highway maintenance. This study ultimately aims to present future pavement deterioration and budget forecasting planning based on the examination. METHODS: This study used the latest data offered by the Korea Transport Data Base (KTDB) as the basic data for demand forecast. The analysis scope was set using the Daejeon Metropolitan City’s O/D and network data. This study used a traffic demand program called TransCad, and performed a traffic assignment by vehicle type through the application of a user equilibrium-based multi-class assignment technique. This study forecasted future traffic demand by verifying whether or not a realistic traffic pattern was expressed similarly by undertaking a calibration process. This study performed a life cycle cost analysis based on traffic using the forecasted future demand or existing past pattern, or by assuming the constant traffic demand. The maintenance criteria were decided according to equivalent single axle loads (ESAL). The maintenance period in the concerned section was calculated in this study. This study also computed the maintenance costs using a construction method by applying the maintenance criteria considering the ESAL. The road user costs were calculated by using the user cost calculation logic applied to the Korean Pavement Management System, which is the existing study outcome. RESULTS : This study ascertained that the increase and decrease of traffic occurred in the concerned section according to the future development plans. Furthermore, there were differences from demand forecasting that did not consider the development plans. Realistic and accurate demand forecasting supported an optimized decision making that efficiently assigns maintenance costs, and can be used as very important basic information for maintenance decision making. CONCLUSIONS : Therefore, decision making for a more efficient and sophisticated road management than the method assuming future traffic can be expected to be the same as the existing pattern or steady traffic demand. The reflection of a reliable forecasting of the future traffic demand to life cycle cost analysis (LCCA) can be a very vital factor because many studies are generally performed without considering the future traffic demand or with an analysis through setting a scenario upon LCCA within a pavement management system.

기존의 포장관리를 위한 장래교통수요의 추정에는 과거추세나 분석가의 주관적인 판단에 의해 이루어 졌다고 할 수 있으며, 새로운 도로의 신설 및 우회도로의 계획 등 대상지역의 장래 도로 및 지역개발 계획 을 전혀 고려하지 못한 교통수요의 추정이 이루어졌다고 할 수 있다. 따라서 본 연구에서는 보다 객관적이며 정도 높은 국도의 유지관리를 위하여 TransCad를 활용하여 4 단계 교통수요 추정을 통해 장래의 교통수요를 예측하고 이에 기반한 장래 포장의 공용성과 예산추정 방 안을 제시하는 것을 목적으로 한다. 또한 공신력 있는 수요예측을 위해 국가교통 DB의 전국 네트워크(대전청 관할지역)자료와 O/D자료를 사용하고 분석에 필요한 파라미터와 분석 방법에 대해서는 기본적으로“도로 ․ 철도 부문사업의 예비타당 성조사 표준지침 수정 ․ 보완 연구(제5판)”에 의거하여 분석을 수행한다. 기존의 수요추정 방법과 본 연구에서 제시한 장래 지역개발계획과 도로의 신설 및 확장계획 등을 고려 한 교통수요 추정방법과의 차이를 고찰하고 본 연구에서 제시한 장래교통량과 기존 교통수요적용방식과 의 비교분석을 통하여 효율적인 의사결정을 위해 정도 높은 교통수요에 대한 추정이 필요함을 확인 할 수 있었다. 향후 정도높은 교통량의 수요추정뿐만 아니라, 보다 더 현실적인 도로포장 자산관리를 위한 방안 마련이 가능 할 것이라 기대된다.