Thoroughly, reliably, accurately and quickly estimating the state of civil engineering systems such as traffic networks, structural systems, and construction projects is becoming increasingly feasible via ubiquitous sensor networks and communication systems. By better and more quickly estimating the state of a system we can make better decisions faster. This has tremendous value and broad impact. A key function in system state estimation is data fusion. A model for data fusion is adapted here for civil engineering systems from existing models. Applications and future research needs are identified.


Data Fusion Structural Health Monitoring Probe Vehicle Ubiquitous Sensor Network Data Fusion Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Carl Haas
    • 1
  1. 1.Professor, Canada Research Chair in Sustainable Infrastructure, and Director of Centre for Pavement and Transportation Technology Department of Civil EngineeringUniversity of WaterlooWaterlooCanada

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