Teresa M. Adams

Professor,Chair, Transportation Management and Policy Program Director, National Center for Freight


Profile Summary

I am interested in improving life-cycle decision support for transportation assets such as bridges and pavements. New performance-based measures and knowledge of associated economic implications are needed to support strategic decision-making. This includes the application of remote sensing technologies. The goal of my research on transportation infrastructure asset management is integrated decision support. This includes the development of spatial/temporal referencing data models and the use of geographic information systems (GIS). Spatial/temporal referencing in GIS is just beginning to be addressed. Most data that are required for asset management systems are spatial and/or temporal. The outputs from the inventory, condition assessment and deterioration modeling can be combined with other sources of data in a geographic information system environment to enhance the assessment of infrastructure performance. Historically, infrastructure management is conducted on an individual asset-by-asset basis with limited opportunities for seeing the "big picture." There is a need for coordination both vertically within an agency, and horizontally between different types of assets that compete for resources. Many new tools are now available to make the infrastructure management process more efficient and integrative. New technology goes beyond hardware and software; it consists of new applications, new philosophies, and enhanced procedures.

Education

  • BS, University of Pittsburgh (summa cum laude)
  • MS, Carnegie Mellon
  • PhD, Carnegie Mellon

Research Interests

  • infrastructure asset management
  • geographic information systems in transportation
  • location referencing systems
  • spatial/temporal data modeling for transportation
  • bridge management

Awards, Honors and Societies

  • American Society of Civil Engineering
  • American Association for Artificial Intelligence
  • Carnegie Mellon University, Civil Engineering Advisory Board
  • National Science Foundation Research Initiation Award
  • Ameritech Fellow

Publications

  • Kumar, V.S.S., A.S. Hanna and T.M. Adams. (2000). \"Assessment of working capital requirements by fuzzy set theory,\" Engineering Construction and Architectural Management. 7(1):93-103.
  • Blazquez C., T. M. Adams, and P. Keillor. (2000). \"Optimization of mechanical dredging operations for navigational purposes.\" Journal of Dredging Engineering. Western Dredging Association. 2(4):1-19.
  • Blazquez, C.A., T. M. Adams, and P. Keillor. (2001). \"Optimization of mechanical dredging operations for sediment remediation.\"ASCE Journal of Waterway, Port, Coastal and Ocean Engineering. 127(6):299-307. Nov/Dec.
  • Adams, T. M, S. Malaikrisanachalee, C. Blazquez, S. Lueck, and A. P. Vonderohe.(2002). \"Enterprise-Wide Data Integration and Analysis for OS/OW Permitting.\"ASCE Journal of Computing in Civil Engineering.16(1):1-12. Jan.Invited manuscript.
  • Koncz, N. and T. M. Adams. (2002). \"Managing Data for Multi-Dimensional Transportation Applications.\"International Journal of Geographic Information Sciences.Vol. 16, No. 6, 551-569.
  • Koncz, N. and T. M. Adams. (2002). \"A Data Model for Multi-dimensional Transportation Location Referencing Systems.\"URISA Journal.Vol. 14, No. 2, 27-41.http://www.urisa.org/Journal/accepted/koncz/a_data_model_for_multi_dimensional_transportation.htm
  • Koncz, N., and T.M. Adams. (2002). \"Temporal Data Constructs for Multidimensional Transportation GIS Applications.\"Transportation Research Record Journal of the Transportation Research Board. No. 1804 pages196-204.
  • Adams, T. M., M. Danijarsa, T. Martinelli, G. Stanuch, A.P. Vonderohe. (2003). \"Performance Measures for Winter Operations.\" TRR, Journal of the Transportation Research Board. No. 1824, pages 87-97.
  • Huang, Y-H., T. M. Adams, and J.A. Pincheira. (2004). \"Analysis of life-cycle maintenance strategies for concrete bridge decks.\"ASCE Journal of Bridge Engineering. Vol. 9, No. 3, pages 250-258. May/June.
  • Lee, Seungho and T. M. Adams. (2004). \"Spatial model for path planning of multiple construction robots.\"Computer-aided Civil and Infrastructure Engineering. Vol. 19, No. 4 pages 231-245. July.
  • Choi, J-H, T.M. Adams, and H.U. Bahia. (2004). \"Pavement roughness modeling using back-propagation neural networks.\" Computer-aided Civil and Infrastructure Engineering. Vol. 19, No. 4, pages 295-303. July.
  • Adams, T.M., E. Juni, M. Siddiqui, and J. Dzienkowski. (2005). \"Integrated Field and Office Tools for Bridge Management.\" TRR Journal of the Transportation Research Board. No. 1933, pages 35-43.
  • Malaikrisanachalee, S. and T. M. Adams. (2005). \"Lane-based Model for Transportation Network Flow Analysis and Inventory Management.\" TRR Journal of the Transportation Research Board. No. 1935, pages 101-110.
  • Adams, T.M., E. Juni, M. Sproul, and L. Xu. (2006). \"Regression Tree Models to Predict Winter Storm Costs.\" TRR Journal of the Transportation Research Board. To appear

Courses

Fall 2014-2015

  • CIVENGR 694 - Management of Civil Infrastructure Systems

  • CIVENGR 970 - Colloquium in Transportation Management and Policy
  • CIVENGR 999 - Advanced Independent Study
  • CIVENGR 990 - Thesis
  • CIVENGR 890 - Pre-Dissertator\'s Research
  • CIVENGR 790 - Master\'s Research or Thesis
  • CIVENGR 699 - Independent Study
  • PUBAFFR 694 - Management of Civil Infrastructure Systems
  • ENVIRST 970 - Colloquium in Transportation Management and Policy
  • Secondary Contact

    271
    Computer Aided Engineering
    1410 Engineering Drive
    Madison, WI 53706

    Alt Ph: (608) 263-3175
    Alt Email: adams@engr.wisc.edu

    Profile Summary

    I am interested in improving life-cycle decision support for transportation assets such as bridges and pavements. New performance-based measures and knowledge of associated economic implications are needed to support strategic decision-making. This includes the application of remote sensing technologies. The goal of my research on transportation infrastructure asset management is integrated decision support. This includes the development of spatial/temporal referencing data models and the use of geographic information systems (GIS). Spatial/temporal referencing in GIS is just beginning to be addressed. Most data that are required for asset management systems are spatial and/or temporal. The outputs from the inventory, condition assessment and deterioration modeling can be combined with other sources of data in a geographic information system environment to enhance the assessment of infrastructure performance. Historically, infrastructure management is conducted on an individual asset-by-asset basis with limited opportunities for seeing the "big picture." There is a need for coordination both vertically within an agency, and horizontally between different types of assets that compete for resources. Many new tools are now available to make the infrastructure management process more efficient and integrative. New technology goes beyond hardware and software; it consists of new applications, new philosophies, and enhanced procedures.


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