Optimal Condition Sampling of Infrastructure Networks

Mishalani, Rabi G.; Goel, Prem; NEXTRANS Center (U.S.); Ohio State University

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Optimal Condition Sampling of Infrastructure Networks

2009-10-15
By Mishalani, Rabi G. ; Goel, Prem

[PDF-363.78 KB]

English

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Details:

Creators:

Mishalani, Rabi G. ; Goel, Prem

Mishalani, Rabi G. ; Goel, Prem Less -
Corporate Creators:

NEXTRANS Center (U.S.) ; Ohio State University

NEXTRANS Center (U.S.) ; Ohio State University Less -
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

Indiana ; United States Less -
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
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Optimal Condition Sampling of Infrastructure Networks

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