- 期刊
Development of Roughness Prediction Models Using Alberta Transportation's Pavement Management System
並列摘要
Alberta Transportation conducts annual automated International Roughness Index (IRI) surveys on the core highway network in the province. The measures are used to rate the physical condition of each pavement section in the Pavement Management System (PMS) to establish rehabilitation strategies for the year. Future rehabilitation needs are predicted based on highway sections' age, using the Highway Pavement Management Application (HPMA) sigmoidal IRI function, which does not consider the effect of climatic and pavement distresses or structural design. IRI prediction models incorporated in the Mechanistic Empirical Pavement Design Guide (MEPDG) and Highway Development and Management (HDM) require comprehensive and detailed distress records. Such data records are not fully available for Alberta yet, making it difficult to calibrate these models for local conditions. The present study focuses on identifying the significant climatic, structural and distress-related variables to IRI for Alberta's highway network. The data available in Alberta's PMS was used to develop two new IRI prediction models for New, and Straight Overlaid Asphalt Concrete (AC) sections with Granular Base Course (GBC). Regression analysis revealed that variables such as age, traffic, subgrade fines, rutting, transverse and miscellaneous cracking are most significant to IRI for new AC sections. Further, IRI for overlaid AC sections was found to be dependent upon age, traffic, Freezing Index (FI), GBC and AC overlay thickness, subgrade soil plasticity and rutting. The model for new AC sections was able to predict IRI for the General Pavement Sections (GPS)-1 of the Long Term Pavement Performance (LTPP) in Alberta, Manitoba and Saskatchewan.
參考文獻
延伸閱讀
- Wang, K. C. (2021). Modeling and Scheduling for Robustness of Intelligent Intersection Management [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU202102796
- 吳佩樺（2006）。Development of Performance Prediction Models for Flexible Pavements〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2006.00304
- Makendran, C., Murugasan, R., & Velmurugan, S. (2015). Performance Prediction Modelling for Flexible Pavement on Low Volume Roads Using Multiple Linear Regression Analysis. Journal of Applied Mathematics, 2015(), 105-111-009. https://doi.org/10.1155/2015/192485
- 林玉章（2008）。The measurement, application and examination of Intelligent Vehicle for Pavement Roughness Survey〔碩士論文，國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917354989
- Ker, H. W., Lee, Y. H., & Lin, C. H. (2013). Development of Prediction Models for Joint Faulting using Long-Term Pavement Performance Database. International Journal of Pavement Research and Technology, 6(5), 658-666. https://doi.org/10.6135/ijprt.org.tw/2013.6(5).658