Adaptive Fuzzy Inference System for Automated Pavement Condition Evaluation of Large Pavement Sections from Ground Penetrating Radar (GPR) Thickness Data

Author:

Singh NikhilORCID,Kishore KaushalORCID,Deo RavinORCID,Lu YeORCID,Urbaez Ernesto,Kodikara JayanthaORCID

Publisher

Springer International Publishing

Reference13 articles.

1. Karim, D.F., Rubasi, D.K.A.H., Saleh, D.A.A.: The road pavement condition index (PCI) evaluation and maintenance: a case study of Yemen. Org. Technol. Manag. Construct.: Int. J. 8(1), 1446–1455 (2016)

2. Arhin, S.A., Williams, L.N., Ribbiso, A., Anderson, M.F.: Predicting pavement condition index using international roughness index in a dense urban area. J. Civ. Eng. Res. 5(1), 10–17 (2015)

3. Pinatt, J.M., Chicati, M.L., Ildefonso, J.S., Filetti, C.R.G.D.A.: Evaluation of pavement condition index by different methods: case study of Maringá, Brazil. Transp. Res. Interdisc. Perspect. 4, 100100 (2020)

4. Evdorides, H.: A prototype knowledge-based system for pavement analysis. Ph.D. these titled. University of Birmingham (1994)

5. Ismail, N., Ismail, A., Atiq, R.: An overview of expert systems in pavement management. Eur. J. Sci. Res. 30(1), 99–111 (2009)

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