Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 2 : knowledge modeling and database development.

Details

• Creators:
  Lee, Seok-Won ; Tolone, William J. ; Vatcha, Rashna ; Raghuraman, Mahalakshmi V.
• Corporate Creators:
  University of North Carolina at Charlotte. Transportation Policy Studies ; University of North Carolina at Charlotte. Dept. of Software and Information Systems
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Bridge management systems
  • Remote sensing
  • Inspection
  • Condition surveys
  • Laser radar
  • Structural analysis
  • Visualization
  • Structural health monitoring
  • Software
  • Databases
• Publication/ Report Number:
  USDOT/RITA CRSV-DT0S59-07-H-005
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of North Carolina at Charlotte. Transportation Policy Studies
• Abstract:
  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 several aspects that were documented in Volume One, Summary Report. The following provide supplementary ; descriptions of the input by the Software and Information Systems (SIS) Team in developing the Knowledge Modeling and Database ; Development of the IRSV Prototype. ;  An explicit language reflected in bridge management processes and the relationships among the language attributes and their semantic ; understanding at different level of abstraction ;  Problem Domain Ontology (PDO) that enables bridge managers to solve complex problems where the underlying domain concepts ; provide a collective understanding of the bridge data based on domain knowledge from multi-dimensional resources ;  A model of the domain knowledge of bridge inspection processes by using the ontological engineering toolkit called Generic Object ; Model (GenOM) ;  Support the ability for bridge managers provides to browse, access, query and reason about complex bridge inspection processes ;  Provide a method for answering “what-if” queries via GenOM by matching various initial conditions and circumstances based on ; rules specified in the PDO ;  Rules with ontological concepts and properties that describe the problem domain to support inferences about the problem domain ;  Temporal knowledge provided through a flexible Service-oriented Architecture (SOA) framework to compose and provide services ; on-demand to other system modules ;  A software system that is interoperable, scalable, and adaptable that facilitates heterogeneous data requirements, operational ; requirements, and overlapping functionalities ;  Functional requirements primarily based on input and feedback provided by North Carolina Department of Transportation (NCDOT) ; and Charlotte Department of Transportation (CDOT), which will be expanded to other states and localities in Phase Two ;  And finally, an IRSV prototype user interface that combines bridge inspection data and domain knowledge based on a knowledge ; representation and goal-driven modeling technique
  More +
• Format:
  PDF
• Funding:
  DT0S59-07-H-005
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28807/dot_28807_DS1.pdf
• File Type:
  [PDF - 4.81 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:41bfacd851f331576fbb045b185c78eb64bd9b3b297d58beca9b1f2df0d8c586