University of North Carolina at Charlotte. Transportation Policy Studies

United States. Dept. of Transportation. Research and Innovative Technology Administration

USDOT/RITA DT0S59-07-H-005

Tech Report

United States

University of North Carolina at Charlotte. Transportation Policy Studies

The Integrated Remote Sensing and Visualization System (IRSV) is being designed to accommodate the needs of today’s Bridge

Engineers at the state and local level from the following aspects:

 Better understanding and enforcement of a complex inspection process that can bridge the gap between evidence

gathering and decision making through the implementation of ontological knowledge engineering system;

 Aggregation, representation and fusion of complex multi-layered heterogeneous data (i.e. infrared imaging, aerial

photos and ground-mounted LiDAR etc.) with domain application knowledge to support an understandable process for

decision-making;

 Robust visualization techniques with large-scale analytical and interactive visualizations that support users' decision

making; and

 Integration of these needs through the flexible Service-oriented Architecture (SOA) framework to compose and provide

services on-demand.

The specific objectives of the project are to:

 Enhance the National Bridge Inspection System (NBIS);

 Provide opportunities for state and local DOTs to develop remote sensing and visualization applications for BMS;

 Provide temporal bridge condition tracking;

 Enable agencies to make more precise damage assessments; and

 Provide better and more systematic data interpretation through parallel data displays.

This first Volume, based on a more complete, seven-volume set of reports, describes the development of the IRSV to date as a

summary for management review and understanding. Our intent is to ultimately establish a component of an on-going

nationwide dialogue and upgrade of bridge management systems in state and local transportation agencies.

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DT0S59-07-H-005

US Transportation Collection