Modeling of Pavement Maintenance Decisions Using Artificial Intelligence Based on Maintenance Unit.
Abstrak
Received: (09 February, 2022) Revised: (05 April, 2022) Accepted: (07 May, 2022) Hamdy B. Faheem, Associate Professor of Highway and Traffic Engineering, Dept. of Civil Engineering, Faculty of Engineering, Minia University, (e-mail: hamdyfaheem@mu.edu.eg.) Afaf A. Mahmoud, Professor of Highway and Airport Engineering, Dept. of Civil Engineering, Faculty of Engineering, Minia University, (e-mail: Afaf.abdelhaleem@mu.edu.eg.) "Surface distress" is a term used to describe defects in the pavement surface. The type, severity, and quantity of surface distress, measured by distress surveys, are required data for evaluating pavement distress. The pavement condition can be calculated based on distress data [2]. Pavement distress is an indication of the pavement surface condition and highway safety, as well as ride comfort. It can also be an indicator of deep-layer distress and failures, as well as performance. A perfect pavement is comfortable for riders and free of cracks of any type. Concurrently, some roads have
Penulis (4)
Hamdy B. Faheem
A. Mahmoud
M. Hashem
Mohamed A. Abd El moez
Akses Cepat
- Tahun Terbit
- 2022
- Bahasa
- en
- Total Sitasi
- 3×
- Sumber Database
- Semantic Scholar
- DOI
- 10.21608/bfemu.2022.243943
- Akses
- Open Access ✓