ARTIFICIAL NEURAL NETWORK APPROACH FOR PAVEMENT MAINTENANCE

The major objective of a pavement maintenance decision support system (PMDSS) is to assist decision makers in selecting an appropriate maintenance and repair (M&R) action for a defected pavement. This is typically performed through collecting condition data, analyzing and reducing condition data (such as development of condition indices), and selecting appropriate M&R actions. This paper reveals the results of implementing artificial neural networks (ANN) to recommend appropriate M&R actions. For an ANN to diagnose an M&R action accurately, it must be trained with correctly diagnosed M&R actions (training sets). Each training set consists of a pavement condition represented by deduct values for each distress present in the pavement and the corresponding recommended M&R action. Pavement condition data used in this study were obtained from comprehensive visual inspection data conducted on the Riyadh road network in Saudi Arabia. The associated M&R actions were obtained based on consulting human expertise and M&R actions recommended by PMDSS software. Results of this study reveal that ANN is appropriate for implementation in identifying appropriate M&R actions.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/08873801
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Alsugair, A M
  • Al-Qudrah, A A
• Publication Date: 1998-10

Language

• English

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 249-255
• Serial:
  • Journal of Computing in Civil Engineering
  • Volume: 12
  • Issue Number: 4
  • Publisher: American Society of Civil Engineers
  • ISSN: 0887-3801

Subject/Index Terms

• TRT Terms: Algorithms; Case studies; Decision support systems; Evaluation; Highway maintenance; Inspection; Neural networks; Pavement maintenance; Pavement management systems; Pavements; Prototypes; Repairing; Software; Vision
• Uncontrolled Terms: Pavement conditions; Repairs
• Geographic Terms: Saudi Arabia
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; Pavements; I23: Properties of Road Surfaces; I61: Equipment and Maintenance Methods;

Filing Info

• Accession Number: 00756603
• Record Type: Publication
• Contract Numbers: GR/J16121
• Files: TRIS
• Created Date: Nov 12 1998 12:00AM