Pavement condition index

The pavement condition index (PCI) is a numerical index between 0 and 100, which is used to indicate the general condition of a pavement section. The PCI is widely used in transportation civil engineering[1] and asset management, and many municipalities use it to measure the performance of their road infrastructure and their levels of service.[2] It is a statistical measure and requires manual survey of the pavement. This index was originally developed by the United States Army Corps of Engineers as an airfield pavement rating system,[3] but later modified for roadway pavements[4] and standardized by the ASTM.[4][5] The surveying processes and calculation methods have been documented and standardized by ASTM for both roads and airport pavements:

  • ASTM D6433 - 20: Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys[6]
  • ASTM D5340 - 20: Standard Test Method for Airport Pavement Condition Index Surveys[7]
  1. ^ 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]". United States. Federal Highway Administration. Office of Research, Development, and Technology. FHWA-HRT-18-065. Archived from the original on 2019-02-02 – via National Transportation Library Repository & Open Science Access Portal.
  2. ^ Piryonesi, S. M. (2019). The Application of Data Analytics to Asset Management: Deterioration and Climate Change Adaptation in Ontario Roads (PhD dissertation). University of Toronto.
  3. ^ Shahin, M. Y.; Darter, M. I.; Kohn, S. D. (1977). "Development of a Pavement Maintenance Management System, Vol. I. Airfield Pavement Condition Rating". Construction Engineering Research Laboratory. Archived from the original on June 3, 2021.
  4. ^ a b "Development Of A Pavement Condition Index For Roads And Streets". Tris Online Record. Research and Innovative Technology Administration (RITA), National Transportation Library. Archived from the original on 2012-02-08.
  5. ^ Piryonesi, S. M.; El-Diraby, T. E. (2020) [Published online: December 21, 2019]. "Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index". Journal of Infrastructure Systems. 26 (1): 04019036. doi:10.1061/(ASCE)IS.1943-555X.0000512. S2CID 213782055.
  6. ^ "Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys". ASTM International.
  7. ^ "Standard Test Method for Airport Pavement Condition Index Surveys". ASTM International.