Data Mining and Performance Prediction of Flexible Road Pavement Using Fuzzy Logic Theory: A Case of Nigeria

Author:

Olowosulu Adekunle Taiwo,Kaura Jibrin Mohammed,Murana Abdulfatai Adinoyi,Adeke Paul Terkumbur

Publisher

Springer International Publishing

Reference102 articles.

1. AASHTO: AASHTO Guide for the Design of Pavement Structures. American Association of State Highway and Transportation Officials, Washington, D.C. (1993)

2. Abiola, O.S., Owolabi, A.O., Odunfa, S.O., Olusola, A.: Investigation into causes of premature failure of highway pavements in Nigeria and remedies. In: Proceedings of the Nigeria Institution of Civil Engineers (NICE) Conference (2010)

3. Abiola, O.S., Owolabi, A.O., Sadiq, O.M., Aiyedun, P.O.: Application of dynamic artificial neural network for modelling ruts depth for lagos-ibadan expressway, Nigeria. Asian Research Publishing Network (ARPN)-J. Eng. Appl. Sci. 7(8), 986–991 (2012)

4. Adefemi, B.A., Ibrahim, A.A.: Flexible pavement assessment of selected highways in Ifelodun local government, Ikirun-Osun, South – Western Nigeria. Int. J. Eng. Technol. 5(8), 475–484 (2015)

5. Adeke, P.T., Atoo, A.A., Joel, E.: A policy framework for efficient and sustainable road transport system to boost synergy between urban and rural settlements in developing countries: a case of Nigeria. In: 1st International Civil Engineering Conference (ICEC 2018), Department of Civil Engineering, Federal University of Technology, Minna, Nigeria (2018a)

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