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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Research in Progress (RIP)</title>
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      <title>Mining Automatic Identification Systems (AIS) Data for Improved Vessel Trip Analysis Capabilities</title>
      <link>https://rip.trb.org/View/1234884</link>
      <description><![CDATA[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.]]></description>
      <pubDate>Thu, 03 Jan 2013 15:21:00 GMT</pubDate>
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