APPLIED RELIABILITY AND MARKOV PROCESS APPROACH TO MODELLING PAVEMENT DETERIORATION

This paper describes the use of non-homogeneous Markov transition process to predict pavement deterioration over time. Each element of the transition probability matrices is calculated through Monte Carlo simulation. The new technique is based on the reliability concept which runs through the process of pavement management at network level. The paper presents the equations developed to generate the transition probability matrix. The authors feel that the technique could be used to predict pavement condition state, determine needs and priorities and optimise pavement rehabilitation and maintenance alternatives.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/2550243080
• Corporate Authors:

  Permanent International Assoc of Road Congresses

  27 rue Guenegaud
  Paris,   France 
• Authors:
  • Li, N
  • HUOT, M
  • XIE, W-C
  • Haas, R
• Conference:
  • XXTH WORLD ROAD CONGRESS, MONTREAL, 3-9 SEPTEMBER 1995. INDIVIDUAL PAPERS PRESENTED UNDER THE AUSPICES OF THE COMMITTEES AND WORKING GROUPS
• Publication Date: 1995

Language

• English

Media Info

• Pagination: p. 296-8

Subject/Index Terms

• TRT Terms: Deterioration; Forecasting; Mathematical models; Pavement management systems; Probability; Simulation
• ITRD Terms: 5255: Deterioration; 132: Forecast; 6473: Mathematical model; 3037: Pavement management system; 6534: Probability; 9103: Simulation
• Subject Areas: Data and Information Technology; Pavements;

Filing Info

• Accession Number: 00812824
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 2-550-24308-0
• Files: ITRD
• Created Date: Jul 2 2001 12:00AM