Optimal Sampling of Infrastructure Condition: Methodology and Numerical Evaluation

This paper describes how infrastructure management is the process through which inspection, maintenance, and rehabilitation decisions are made to minimize total life-cycle cost. Condition measurement, forecasting, and spatial sampling introduce uncertainty into the process. The first two uncertainties are captured in the infrastructure management literature. However, the third has not been recognized and quantified. Therefore, this study focuses on quantifying the spatial sampling uncertainty and investigates its effect on the expected minimum life-cycle cost. Moreover, evaluation measures are defined to assess the values of the LMDPSS framework, namely incorporating uncertainty due to spatial sampling and selecting the sample size optimally.

• Corporate Authors:

  World Conference on Transport Research Society

  Secretariat, 14 Avenue Berthelot
  69363 Lyon cedex 07,   France 
• Authors:
  • Mishalani, Rabi G
  • Gong, Liying
• Conference:
  • 11th World Conference on Transport Research
  • Location: Berkeley CA, United States
  • Date: 2007-6-24 to 2007-6-28
• Publication Date: 2007

Language

• English

Media Info

• Media Type: CD-ROM
• Features: References;
• Pagination: 25p
• Monograph Title: 11th World Conference on Transport Research

Subject/Index Terms

• TRT Terms: Condition surveys; Infrastructure; Life cycle costing; Management; Numerical analysis; Optimization; Planning; Spatial analysis; Uncertainty
• Subject Areas: Highways; Maintenance and Preservation; Planning and Forecasting; I21: Planning of Transport Infrastructure;

Filing Info

• Accession Number: 01117388
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 30 2008 12:31PM