Performance Model Development for Flexible Pavements via Neural Networks-Reference-Cited by-同舟云学术

Performance Model Development for Flexible Pavements via Neural Networks

Published:2022-08-31 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Transportation and Development 2022
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Author:

Rulian B.¹²²²²,Hakan Y.¹²²²²,Salma S.¹²²²²,Zul Fahmi M. J.¹²²²²,Yacoub N.¹²²²²

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, Univ. of Mississippi, University, MS.

2. Dept. of Civil Engineering, Univ. of Mississippi, University, MS

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484357.007

Reference32 articles.

1. International Roughness Index prediction model for flexible pavements

2. AASHTO. (1993). AASHTO Guide for Design of Pavements Structures. American Association of State Highway and Transportation Officials, 624.

3. Attoh-Okine N. O. (1994). “Predicting Roughness Progression in Flexible Pavements Using Artificial Neural Networks.” 3rd International Conference on Managing Pavements 1(1) 55–62.

4. Barros, R., Yasarer, H., and Sultana, S. (2022). International Roughness Index Model for Composite Pavements in the LTPP Wet Non-Freeze Climate Region: Machine Learning and Regression Approaches. Transportation Research Board, 1–17.

5. Roughness Modeling for Composite Pavements using Machine Learning;Barros R.;IOP Conference Series: Material Science and Engineering,2021

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