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Pavement performance modeling

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Pavement performance modeling is the study of pavement deterioration throughout its life-cycle. The health of pavement is assessed using different performance indicators. Some of the most well-known performance indicators are Pavement Condition Index (PCI), International Roughness Index (IRI) and Present Serviceability Index (PSI)[1]. Among the most frequently used methods for pavement performance modeling are mechanistic, mechanistic-empirical models[2], survival curves and Markov models. Recently, machine learning algorithms have been used for this purpose as well.[3]

History


References

  1. ^ Way, N.C., Beach, P., and Materials, P. 2015. ASTM D 6433–07: Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys.
  2. ^ AASHTO. 2008. Mechanistic-empirical pavement design guide: A manual of practice.
  3. ^ "Piryonesi, S. M., & El-Diraby, T. (2018). Using Data Analytics for Cost-Effective Prediction of Road Conditions: Case of The Pavement Condition Index:[summary report] (No. FHWA-HRT-18-065). United States. Federal Highway Administration. Office of Research, Development, and Technology". {{cite web}}: Cite has empty unknown parameter: |dead-url= (help)