참고문헌
- Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., and Ghemawat, S. (2016). "Tensorflow: Large-scale machine learning on heterogeneous distributed systems."arXiv preprint arXiv:1603.04467.
- Choi, S. (2018). "Development of Road Asset Management System based on Artificial Intelligence using Visual Information." Doctoral Thesis.
- Do, M. (2011). "Comparative analysis on mean life reliability with functionally classified pavement sections." International Journal of Highway Engineering, 14(5), pp. 11-19. https://doi.org/10.7855/IJHE.2012.14.5.011
- Do, M., Lee, Y., Lim, K., and Kwon, S. (2011). "Estimation of Performance and Pavement Life using National Highway Pavement Condition Index." KSCE Journal of Civil Engineering, 15(2), pp. 261-270. https://doi.org/10.1007/s12205-011-1065-4
- DOMITROVIC, J., DRAGOVAN, H., RUKAVINA, T., and DIMTER, S. (2018). "Application of an Artificial Neural Network in Pavement Management System." Tehnicki vjesnik, 25(2), pp. 466-473.
- Gharaibeh, N., and Darter, M. (2003). "Probabilistic analysis of highway pavement life for Illinois." Transportation Research Record 1823, No.03-4294, pp. 111-120. https://doi.org/10.3141/1823-13
- Kobayashi, K., and Do, M. (2010). "Estimation of Markovian transition probabilities for pavement deterioration forecasting." KSCE Journal of Civil Engineering, 14(3), pp. 343-351. https://doi.org/10.1007/s12205-010-0343-x
- Korea Expressway Corporation (2010). "Guideline for Exposure to Environment."
- Korea Expressway Corporation (2018). "2017 Investigation and analysis of highway pavement condition."
- Kwon, S., Jeong, K., and Sun, Y. (2012). "A Study on Decision Criteria of traffic volumes for Choosing of Modified Asphalt Pavement in Korea National Highway." International journal of highway engineering, 4(3), pp. 25-33.
- Han, D., Yoo, I., and Lee, S. (2017a). "Improvement of Multivariable, Nonlinear, and Overdispersion Modeling with Deep Learning: A Case Study on Prediction of Vehicle Fuel Consumption Rate." Intl. Journal of the Highway Engineers, 19(4), pp. 1-7.
- Han, D., Do, M., and Kim, B. (2017b). "Internal Property and Stochastic Deterioration Modeling of Total Pavement Condition Index for Transportation Asset Management." International journal of highway engineering, 19(5), pp. 1-11. https://doi.org/10.7855/IJHE.2017.19.5.001
- Hochreiter, S., and Schmidhuber, J. (1997). "Long Short-Term Memory." Neural Computation archive, 9(8), pp. 1735-1780. https://doi.org/10.1162/neco.1997.9.8.1735
- Lee, I., Lee, Y., Park, S., Cho, H., and Lee, M. (2018). "A Study on Utilization of Private Capital for Efficient Highway Pavement Management." Korean Journal of Construction Engineering and Management, KICEM 19(1), pp. 3-11. https://doi.org/10.6106/KJCEM.2018.19.1.003
- Lee, Y. (2013). "A Study on the Method of Establishing Road Maintenance Strategy Considering the Forecasting Traffic Demand." Master Thesis.
- Lee, Y., and Lee, M. (2016). "A Study on Estimating of Probability Distribution and Mean Life of Bridge Member for Effective Maintenance of the Bridge." Korean Journal of Construction Engineering and Management, 17(4), pp. 57-65. https://doi.org/10.6106/KJCEM.2016.17.4.057
- Lee, Y. (2019). "A Study on Construction of Highway Pavement Asset Management System based on Big Data." Doctoral Thesis.
- Loizos, A., and Karlaftis, M.G. (2005). "Prediction of pavement crack initiation from in-service pavements: A duration model approach." Journal of the Transportation Research Board, 1940, TRB, pp. 38-42. https://doi.org/10.1177/0361198105194000105
- MOLIT (2011). "Road Pavement Structure Design Manual."
- Park, J. (2013). "A Study on the Improvement of Business Process Efficient for Expressway Pavement Management." Master Thesis.
- Park, J. (2018). "Estimation of Electrical Loads Patterns by Usage in the Urban Railway Station by RNN." The Transactions of the Korean Institute of Electrical Engineers, 67(11), pp. 1536-1541. https://doi.org/10.5370/KIEE.2018.67.11.1536
- Suman, S., and Sinha, S. (2012). "Pavement Condition Forecasting Through Artificial Neural Network Modelling." International Journal of Emerging Technology and Advanced Engineering, 2(11), pp. 474-478.
- Yang, J., Gunaratne, M., Lu, J.J., and Dietrich, B. (2003). "Application of Neural Network Models For Forecating of Pavement Crack Index and Pavement Condition Rating." Florida Department of Transportation.
- Yang, J., Gunaratne, M., Lu, J.J., and Dietrich, B. (2005). "Use of recurrent Markov chains for modeling the crack performance of flexible pavements." Journal of Transportation Engineering, 131(11), pp. 861-872. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:11(861)
- You, P., and Lee, D. (2002). "Methodology of a Probabilistic Pavement Performance Prediction Model Based on the Markov Process." International Journal of Highway Engineering, 4(4), pp. 1-12.