Optimal Condition Sampling of Infrastructure Networks

Details

• Creators:
  Mishalani, Rabi G. ; Goel, Prem
• Corporate Creators:
  NEXTRANS Center (U.S.) ; Ohio State University
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  Geographic Information Systems Infrastructure (Economics)--Inspection Inspection Network Analysis (Planning) Research Hub Spatial Systems Transportation--Planning
• Publication/ Report Number:
  004OY01
• Resource Type:
  Tech Report
• Geographical Coverage:
  Indiana ; United States
• OCLC Number:
  669196299
• Corporate Publisher:
  NEXTRANS Center (U.S.)
• NTL Classification:
  NTL-PLANNING AND POLICY-PLANNING AND POLICY ; NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS ; NTL-REFERENCES AND DIRECTORIES-Statistics
• Abstract:
  Transportation infrastructure systems consist of spatially extensive and long‐lived sets of interconnected facilities. Over the past two decades, several new non‐destructive inspection technologies have been developed and applied in collecting raw condition data and processing them to produce useful condition input to infrastructure inspection, maintenance, and rehabilitation (IM&R) decision‐making aimed at minimizing total expected life‐cycle cost. In response to the developments in inspection technologies, decision‐making methods evolved whereby the optimum combination of inspection decisions on the one hand and maintenance and rehabilitation decisions on the other are determined based on an economic evaluation that captures the long‐term costs and benefits. Recently, sample size has been included in IM&R decision‐making as a decision variable when considering a single facility. While, the question of dealing with a network of facilities in making maintenance and rehabilitation decisions has been addressed in the literature, this treatment does not consider condition sampling whereby each facility could require a different set of sample sizes over time. Doing so is valuable given the network nature of facilities that most infrastructure agencies are responsible for, the increasing number of inspection technology choices with possible varying degrees of accuracy and cost, and budget constraints agencies have to work within.
• Format:
  PDF
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha256:edb994e73f6f660b9adba96294530d09c8009cf2d23a37b4912633bab4eb4685
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/17344/dot_17344_DS1.pdf
• File Type:
  [PDF - 363.78 KB ]