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.

• Record URL:
  http://www.wistrans.org/cfire/research/projects/ri-04/

Language

• English

Project

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

  DTRT12-G-UTC19

  RI-04

• 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

• TRT Terms: Best practices; Global Positioning System; Information dissemination; Inland waterways; Locks (Waterways); Statistical analysis
• Uncontrolled Terms: Automatic identification systems
• Subject Areas: Data and Information Technology; Freight Transportation; Marine Transportation;

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