AASHTO Guide for design of pavement structures. American Association of State Highway and Transportation Officials, Washington, D.C., 1993
Google Scholar
ASTM D6433-18 Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys. ASTM International, West Conshohocken, 2018, DOI: 10.1520/D6433-18
Google Scholar
ASTM E1926-08 Standard practice for computing international roughness index of roads from longitudinal profile measurements. ASTM International, West Conshohocken, 2015, DOI: 10.1520/E1926-08R15
Google Scholar
IRC SP-16 Guidelines on measuring road roughness and norms, 2nd Revision. Indian Roads Congress, New Delhi, 2019
Google Scholar
Maintenance guidebook for road pavements. Japan Road Association, Tokyo, 2017
Google Scholar
Abaza K.A.: Optimum flexible pavement life-cycle analysis model. Journal of Transportation Engineering, 128, 6, 2002, 542-549, DOI: 10.1061/(ASCE)0733-947X(2002)128:6(542)
Google Scholar
Fwa T.F., Sinha K.C.: Pavement performance and life-cycle cost analysis. Journal of Transportation Engineering, 117, 1, 1991, 33-46, DOI: 10.1061/(ASCE)0733-947X(1991)117:1(33)
Google Scholar
NCHRP Report No. 1-37A, Guide for mechanistic-empirical design of new and rehabilitated flexible pavement structures. Transportation Research Board, National Research Council, Washington, D.C, 2004
Google Scholar
France-Mensah J., O’Brien W.J.: Budget allocation models for pavement maintenance and rehabilitation: Comparative case study. Journal of Management in Engineering, 34, 2, 2018, 05018002, DOI: 10.1061/(ASCE)ME.1943-5479.0000599
Google Scholar
Gao L., Xie C., Zhang Z., Waller S.T.: Network level road pavement maintenance and rehabilitation scheduling for optimal performance improvement and budget utilization. Computer Aided Civil and Infrastructure Engineering, 27, 4, 2012, 278-287, DOI: 10.1111/j.1467-8667.2011.00733.x
Google Scholar
Pavement design manual. Arizona Department of Transportation, Roadway Engineering Group, Pavement Design Section, Phoenix, 2017
Google Scholar
Huang Y.H.: Pavement analysis and design, 2nd Edition. Pearson Prentice Hall, Upper Saddle River, 2008
Google Scholar
Haas R., Hudson W.R.: Pavement asset management. John Wiley & Sons, Hoboken, 2015
Google Scholar
Pavement design manual. Georgia Department of Transportation, Atlanta, 2005
Google Scholar
Li Y., Madanat S.: A steady-state solution for the optimal pavement resurfacing problem. Transportation Research Part A: Policy and Practice, 36, 6, 2002, 525-535, DOI: 10.1016/S0965-8564(01)00020-9
Google Scholar
Gogoi R.: Optimal rehabilitation strategy for asphalt pavements, Thesis (Ph.D.). Indian Institute of Technology Kanpur, Kanpur, 2018
Google Scholar
Ross T.J.: Fuzzy logic with engineering applications, 3rd Edition. John Wiley & Sons, Hoboken, 2011
Google Scholar
Sun L., Gu W.: Pavement condition assessment using fuzzy logic theory and analytic hierarchy process. Journal of Transportation Engineering, 137, 9, 2011, 648-655, DOI: 10.1061/(ASCE)TE.1943-5436.0000239
Google Scholar
Gogoi R., Dutta B.: Maintenance prioritization of interlocking concrete block pavement using fuzzy logic. International Journal of Pavement Research and Technology, 13, 2, 2020, 168-175, DOI: 10.1007/s42947-019-0098-9
Google Scholar
Federal Highway Administration: Long Term Pavement Performance (LTPP) program, data retrieved from LTPP InfoPave, https://infopave.fhwa.dot.gov, 2019
Google Scholar
Shahin M.Y., Kohn S.D.: Airfield Pavement Performance Prediction and Determination of Rehabilitation Needs, 5th International Conference on the Design of Asphalt Pavements, ISAP, Delft, 1982, 05044
Google Scholar
Ibraheem A.T.: Modeling the methods of flexible pavements maintenance. Journal of Transportation Engineering, 140, 3, 2014, 04013014, DOI: 10.1061/(ASCE)TE.1943-5436.0000479
Google Scholar
Wang L.X., Mendel J.M.: Generating fuzzy rules by learning from examples. IEEE Transactions on Systems, Man, and Cybernetics, 22, 6, 1992, 1414-1427, DOI: 10.1109/21.199466
Google Scholar
Guillaume S., Charnomordic B., Lablée J.L.: FisPro: An open source portable software for fuzzy inference systems, 2021, https://www.fispro.org/download/documentation/fispro- inline.pdf (20.08.2021)
Google Scholar
Chiu S.L.: Fuzzy model identification based on cluster estimation. Journal of Intelligent & fuzzy systems, 2, 3, 1994, 267-278, DOI: 10.3233/IFS-1994-2306
Google Scholar