<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>QTPIE for Trafikverket - pilot project : a driving assessment tool using AI and eye tracking</title>
      <link>https://trid.trb.org/View/2534264</link>
      <description><![CDATA[This study introduces the Quantitative Tool for Practical-driving Improvement and Evaluation (QTPIE), a sophisticated method integrating eye tracking and artificial intelligence to comprehensively assess driving performance. This innovative system employs state-of-the-art technology to evaluate driving skills with precision. It analyzes diverse driver behaviors and interactions through eye tracking, computer vision, and vehicular dynamics data. The initial phase involved an in-depth analysis of Trafikverket examiner evaluation frameworks. This entailed literature review, interviews, and focus groups with examiners to prioritize crucial regulations. This insight informed the software training, enabling a digital evaluation approach. QTPIE's effectiveness was evident in its use as a pre-test tool, garnering positive feedback from examiners and experts. A functional graphical user interface was developed, displaying synchronized eye gaze overlays, object detections, GPS visualization, panoramic videos, and vehicular data.]]></description>
      <pubDate>Fri, 04 Apr 2025 15:15:53 GMT</pubDate>
      <guid>https://trid.trb.org/View/2534264</guid>
    </item>
  </channel>
</rss>