Section-based multifunctional calibration method for pavement deterioration forecasting model
- 436 Downloads
Deterioration forecasting modeling is an essential element for an efficient pavement management system. The HDM-4 (Highway Development & Management-4) model developed by the World Bank is widely distributed to more than 100 countries around the world. However, many users often point out problems related to calibration limitations, and question the reliability of their results due to the extremely large number of variables, and difficulty in the calibration procedure of deterioration models in the HDM-4. The current calibration method based on the Network-based approach which was introduced by the HDM-4 developer and has several limitations in describing the precise deterioration progress, and practical application. In fact, many HDM-4 users often give up implementation due to these reasons. To mitigate these problems, this paper suggests an improved calibration method for the HDM-4 deterioration models relevant to the deterioration speed and shape of the curve. The benefits are not limited to only high precision calibration, but also easy application by minimum data, and covering problems on incomplete pavement inventory data which are considered the most serious problems in the application of the HDM-4. The validity of the suggested methods was empirically shown through experience with the national highways in Korea. This paper could be a good reference for the implementation of the current HDM-4 model, as well as its future improvement.
Keywordspavement management HDM-4 (Highway Development & Management-4) deterioration model section-based calibration multifunctional approach Korean national highways
Unable to display preview. Download preview PDF.
- Bennett, C. R. and Paterson, W. D. O. (2000). The highway development and management series Vol. 5: A guide to calibration and adaptation, World Road Association (PIARC), Paris, France.Google Scholar
- Do, M., Han, D., Lee, J., and Lee, Y. (2007). “Economic evaluation for road pavement maintenance by using HDM.” J. of the Korean Society of Civil Engineers, Vol. 27, No. 3D, pp. 311–323.Google Scholar
- Do, M., Han, D., Yoo, I., and Lee, S. (2006). “Performance and economic analysis for rut-resistance pavement considering life cycle cost.” J. of the Korean Society of Civil Engineers, Vol. 26, No. 5D, pp. 783–796.Google Scholar
- Han, D., Do, M., Kim, S., and Kim, J. (2007). “Life cycle cost analysis of pavement maintenance standard considering user and socio-environmental cost.” J. of the Korean Society of Civil Engineers, Vol. 27, No. 6D, pp. 727–740.Google Scholar
- Jiang, Y., Saito, M., and Sinha, K. C. (1989). Bridge performance prediction model using the Markov chain, Transportation Research Record, 1180, TRB, pp. 25–32.Google Scholar
- Kerali, H. G. R. (2000). The highway development and management series Vol. 1: Overview of HDM-4, World Road Association, (PIARC), Paris, France.Google Scholar
- Li, J., Stephen T., M., Joe P., M., and George C., W. (2004). Application of HDM-4 in the WSDOT highway system, Washington State Transportation Center (TRAC), Washington, D.C., U.S.Google Scholar
- Morosiuk, G., Riley, M. J., and Odoki, J. B. (2000). The highway development and management series Vol. 6: Modeling road deterioration and works effects, World Road Association (PIARC), Paris, France.Google Scholar
- Odoki, J. B. and Kerali, H. G. R. (2000). The highway development and management series Vol. 4: Analytical framework and model descriptions, World Road Association (PIARC), Paris, France.Google Scholar
- Yang, J., Lu, J. J., Gunaratne, M., and Dietrich, B. (2006). “Modeling crack deterioration of flexible pavements: Comparison of recurrent Markov chains and artificial neural networks.” J. of Transportation Research Board, No. 1974, pp. 18–25.Google Scholar