POTENTIAL APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN PAVEMENT MAINTENANCE MANAGEMENT ---PRE CONFERENCE PROCEEDINGS 3RD IRF MIDDLE EAST REGIONAL MEETING. TOWARDS BETTER ROAD PERFORMANCE, RIYADH, SAUDI ARABIA, 13-18 FEBRUARY 1988. 6 VOLUMES.

The use of computers in pavement analyses has been extensive, evolving from large empirical-statistical analyses (e.g., the AASHT road test), to mechanistic analyses using continuum mechanics and finite-element techniques, to probabilistic and stochastic analyses. These applications, however, have been limited to areas in which algorithmic procedures can be formulated and utilized, most notably in empirical and mechanistic simulation models and in pavement management systems. They have been largely inadequate or inappropriate in the diagnosis of the underlying causes and interactions of pavement distress. Since a broader range of problem-solving strategies can be addressed through the adaptation of knowledge-based techniques, artificial intelligence, through its most recent manifestation in expert systems, is being increasingly applied to relieve the constraints imposed by conventional programming techniques. In pavement management, ai may radically alter the way that pavement facilities are planned, designed, constructed, operated and maintained. The most immediate application, however, appears to be in the automation of pavement condition assessment and diagnosis.(a) for the covering abstract of the proceedings see IRRD 817883.

Language

  • Undetermined

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00486917
  • Record Type: Publication
  • Source Agency: Transport and Road Research Laboratory (TRRL)
  • Files: ITRD, TRIS
  • Created Date: Sep 30 1989 12:00AM