Dynamic Panel Data Model for Predicting Performance of Asphalt Concrete Overlay

Author:

Wang Yuhong122,Mahboub Kamyar C.122,Hancher Donn E.122

Affiliation:

1. Assistant Professor, Construction M. Dept., East Carolina Univ., Greenville, NC 27858 (corresponding author).

2. Professor, Dept. of Civil Engineering, Univ. of Kentucky, Lexington, KY 40506.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference21 articles.

1. Integrated Pavement Management System with a Markovian Prediction Model

2. Abu-Lebdeh G. Lyles R. Baladi G. and Ahmed K. (2003). “Development of alternative pavement distress index models.” Technical Rep. Michigan DOT Mich.

3. Allen D. (1990). “Review and analysis of pavement practices in Kentucky.” Technical Rep. Kentucky Transportation Center Ky.

4. Formulation and estimation of dynamic models using panel data

5. Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations

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1. Deep Learning–Based Pavement Performance Modeling Using Multiple Distress Indicators and Road Work History;Journal of Transportation Engineering, Part B: Pavements;2023-03

2. Highway performance prediction model of International Roughness Index based on panel data analysis in subtropical monsoon climate;Construction and Building Materials;2023-02

3. Applications of asphalt concrete overlay on Portland cement concrete pavement;Construction and Building Materials;2020-12

4. Roadmap to Sustainable Road Construction in Hong Kong;Proceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate;2013-06-18

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