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Abstract
The first step in establishing a pavement management system (PMS) is road network identification. An important feature of a PMS is the ability to determine the current condition of a road network and predict its future condition. Pavement condition evaluation may involve structure, roughness, surface distress, and safety evaluation. In this study, a pavement distress condition rating procedure was used to achieve the objectives of this study. The main objectives of this study were to identify the common types of distress that exist on the Jazan road network (JRN), either on main roads or secondary roads, and to evaluate the pavement condition based on network level inspection. The study was conducted by collecting pavement distress types from 227 sample units on main roads and 500 sample units from secondary roads. Data were examined through analysis of common types of distress identified in both main and secondary roads. Through these data, pavement condition index (PCI) for each sample unit was then calculated. Through these calculations, average PCIs for the main and secondary roads were determined. Results indicated that the most common pavement distress types on main roads were patching and utility cut patching, longitudinal and transverse cracking, polished aggregate, weathering and raveling, and alligator cracking. The most common pavement distress types on secondary roads were weathering and raveling, patching and utility cut patching, longitudinal and transverse cracking, potholes, and alligator cracking. The results also indicated that 65% of Jazan's main road network has an average pavement condition rating of very good while only 30% of Jazan's secondary roads network has an average pavement condition.
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References
- Al-Swailmi S (1994), Framework for municipal maintenance management systems. Transportation Research Board, Transportation Research Board, TRR 1442, 3-10, Washington DC, USA.
- Annual Book of ASTM Standards (2011), ASTM D5340-11, Standard practice for roads and parking lots pavement condition index surveys 04:(03).
- Baladi GY, Snyder MB (1992), Highway pavements, student workbook publication No. FHWA HI-90- 026 Federal Highway Administration. National Highway Institute Course No.13114.
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- Mubaraki M (2010), Predicting deterioration for the Saudi Arabian urban road network. PhD thesis, University of Nottingham, UK.
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- Shahin MY (2005), Pavement for airports, roads, and parking lots. Springer, New York, USA.
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References
Al-Swailmi S (1994), Framework for municipal maintenance management systems. Transportation Research Board, Transportation Research Board, TRR 1442, 3-10, Washington DC, USA.
Annual Book of ASTM Standards (2011), ASTM D5340-11, Standard practice for roads and parking lots pavement condition index surveys 04:(03).
Baladi GY, Snyder MB (1992), Highway pavements, student workbook publication No. FHWA HI-90- 026 Federal Highway Administration. National Highway Institute Course No.13114.
Deighton R, Sztraka J (1995), Pavement condition. dTV Technical Guide (Vol. 3), published by Deighton Associates Limited.
Haas R, Hudson WR, Zaniewski J (1994), Modern pavement management. Krieger Publishing Company, Malabor, Florida.
Mubaraki M (2004), Modeling the common pavement distress types on Riyadh streets Network. Master's thesis, King Saud University, Saudi Arabia.
Mubaraki M (2010), Predicting deterioration for the Saudi Arabian urban road network. PhD thesis, University of Nottingham, UK.
Mubaraki M (2012), Maintenance strategies at project level for low volume urban roads. International Journal of Pavement Research and Technology 5(4):225-233.
Shahin MY (2005), Pavement for airports, roads, and parking lots. Springer, New York, USA.
Shahin MY, Walteher J (1990), Pavement maintenance
management for roads streets using the PAVER system. Technical Report M-90, U.S. Army Construction Engineering Lab.