# 장래교통수요예측을 고려한 도로 유지관리 방안

Kim, Jeongmin;Choi, Seunghyun;Do, Myungsik;Han, Daeseok
김정민;최승현;도명식;한대석

• Accepted : 2016.05.13
• Published : 2016.06.15
• 14 13

#### Abstract

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.

#### Keywords

Traffic Demand Forecasting;Life Cycle Cost Analysis;Pavement Management System;Maintenance Planning

#### References

1. Baek, Jongeun., Lim, J., Kwon, S., Kwon, S., Kwon B., 2015. Performance Evaluation of Long-Life Asphalt Concrete Overlays Based on Field Survey Monitoring in National Highways, Int. Journal of the Highway Engineers, Vol. 17. No. 3. 69-76.
2. Do, Myungsik., Kwon, S., Lee, S., Kim, Y., 2014. Development of the Decision-Making System for National Highway Pavement Management, Journal of the Korean Society of Civil Engineers, Vol. 34. No. 2. 645-654. https://doi.org/10.12652/Ksce.2014.34.2.0645
3. Do, Myungsik., Kim, Y., Lee, S., Han, D., 2013. Traffic Demand Forecasting Method for LCCA of Pavement Section, Journal of the Korean Society of Civil Engineers, Vol. 33. No. 5. 2057-2067. https://doi.org/10.12652/Ksce.2013.33.5.2057
4. Hutyra, L.R., Yoon, B., Hepinstall-Cymerman, J., Alberti, M., 2012. carbon consequences of land cover change and expansion of urban lands : a case study in the seattle metropolitan region, Landscape and Urban Planning 103. No. 1. 83-93.
5. Karen, C. Seto., Burak, G., Lucy, R. H., 2012. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools, Landscape and Urban Planning 103. 83-93.
6. Kim, Unsu., Um, J., Whang, K., Jang, G., 1999. Internalizing Environmental Cost using TDM Alternatives, Journal of the Korean Society of Transportaion, Vol. 17. No. 4. 99-109.
7. Korea Development Institute (KDI), 2008. Revised and Complemented Study on General Guidelines for Pre-Feasibility Study in the Traffic and Railroad Sectors (5th Edition).
8. Korea Transport Institute (KOTI), 2015. Traffic demand analysis based on Resource Description Base.
9. Kwon, Sooahn., Jeong, K., Suh, Y., 2002. A Study on Decision Criteria of traffic volumes for Choosing of Modified Asphalt Pavement in Korea National Highway, J. of the Korean Society of Road Engineers, Vol. 4. No. 3. 25-33.
10. Ministry of Land, Infrastructure and Transport, 2015. Highway capacity manual.
11. Ministry of Land, Infrastructure and Transport, 2013. 5th Investment Evaluation Guide for Transportation Facilities.
12. Poumanyvong, Phetkeo., Kaneko, S., 2010. Does urbanization lead to less energy use and lower $CO_2$ emissions? A cross country analysis, Ecological Economics, Vol. 70. No. 2. 434-444. https://doi.org/10.1016/j.ecolecon.2010.09.029
13. Public and Private Infrastructure Investment Management Center, 2008. General Guidelines for Pre-Feasibility Study in the Traffic and Railroad Sectors (5th Edition).
14. Shin, Hongjoon., Sung, K., Heo, J., 2010. Derivation of Modified Anderson-Darling Test Statistics and Power Test for the Gumbel Distribution, Journal of Korea Water Resources Association, Vol. 43. No. 9. 813-822. https://doi.org/10.3741/JKWRA.2010.43.9.813
15. Tscharaktschiew, Stefan., Hirte, G., 2010. The drawbacks and opportunities of carbon charges in metropolitan areas-A spatial general equilibrium approach, Ecological Economics, Vol. 70. No. 2. 339-357. https://doi.org/10.1016/j.ecolecon.2010.09.005