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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>The Efficiency and Affordability of Automated Vehicle Passenger Services in Rural and Under-Served Communities</title>
      <link>https://rip.trb.org/View/2384856</link>
      <description><![CDATA[We propose to assess the expected efficiency and affordability of automated vehicle (AV) passenger services, such as Waymo and Cruise, in rural and underserved communities. Our methodology involves applying an innovative model to predict the human-driven ride-hailing demand (Uber and Lyft) for every Census tract in the Southeast, assessing the potential for AVs to reduce the cost of providing equivalent service, and predicting how the demand would change in response to cost reductions.  We have already developed the predictive model, and via this CR2C2 REEG grant, we will quickly scale it up for large scale application and test its spatial transferability against observed data in rural areas. The results will enable transportation policy makers to engage with the AV companies in an informed way as the companies continue their roll-out in the Southeast.]]></description>
      <pubDate>Thu, 30 May 2024 19:01:42 GMT</pubDate>
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      <title>Research Program Design---Administration of Highway and Transportation Agencies. Evaluation Guidance for Automated Vehicle Pilot and Demonstration Projects</title>
      <link>https://rip.trb.org/View/1357353</link>
      <description><![CDATA[No summary provided.]]></description>
      <pubDate>Fri, 12 Jun 2015 01:00:55 GMT</pubDate>
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