Mining Automatic Identification Systems (AIS) Data for Improved Vessel Trip Analysis Capabilities

The objective of this project is to develop a means to archive, analyze, and disseminate automatic identification system (AIS) data. There are two components of the research: an inland rivers component (Paducah, KY and Reserve, LA) and a Great Lakes component. Researchers at Vanderbilt University, the University of Toledo and the University of Wisconsin-Superior are collaborating to find the best practices of using similar freight global positioning system (GPS) data, detect vessel events (arrivals, departures, lockages, etc.), archive the data for subsequent ad-hoc access, perform statistical performance analysis, relate the data to other publicly available data sets, and other tasks.


  • English


  • Status: Completed
  • Funding: $337800.00
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Lindquist, Peter

    Dobbins, James

  • Start Date: 20120701
  • Expected Completion Date: 0
  • Actual Completion Date: 20160501
  • Source Data: RiP Project 32902

Subject/Index Terms

Filing Info

  • Accession Number: 01466649
  • Record Type: Research project
  • Source Agency: National Center for Freight and Infrastructure Research and Education (CFIRE)
  • Contract Numbers: DTRT12-G-UTC19, RI-04
  • Files: UTC, RIP, USDOT
  • Created Date: Jan 3 2013 3:21PM