United States Department of Transportation
i
Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 5 : automated management bridge information system.
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2009-12-01
[PDF-2.10 MB]
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Abstract:This volume focuses on one of the key components of the IRSV system, i.e., the AMBIS module. This module serves as one of
the tools used in this study to translate raw remote sensing data – in the form of either high-resolution aerial photos or video from
a ground-based mobile data collection system – into indices that help to quantify the performance state of a bridge. Two major
performance conditions are analyzed: the condition of bridge deck surfaces and the amount of separation between bridge deck
spans. Both of these performance measures can identify conditions that could adversely affect the performance of a bridge. And
both conditions, if not mitigated, could become worse with time. Although developed as a separate module, the plan in Phase II
is to fully integrate AMBIS into the IRSV system. The results presented in this volume represent our “proof-of-concept” that
remotely-sensed data can indeed be used to identify potential distress conditions for bridges. While further research is
recommended to help refine the distress state rating procedures outlined in this volume, we feel that the results are compelling
enough to warrant their incorporation into the IRSV system as representative indicators of bridge performance.
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