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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>Non-recurrent Congestion TSMO Strategies</title>
      <link>https://rip.trb.org/View/1895370</link>
      <description><![CDATA[Nationwide, it is estimated that between 55-68% of congestion on National Highway System (NHS) roads is non-recurrent. While recurrent congestion is a difficult problem to solve without adding capacity, non-recurrent congestion can be addressed and minimized through effective Transportation System Management and Operation (TSMO) strategies. Analysis of NHS roads shows that that Maine experiences $40 M in user delay costs. In Maine, only 6% of congestion is recurrent (comparing to 32% nationwide.) The rest is non-recurrent or undefined categories. 
Understanding the root causes of non-recurrent congestion in Maine is critical for developing effective TSMO strategies to address them. Also, it is important to quantify and evaluate the effectiveness of TSMO strategies. With such information, MaineDOT can proactively optimize the management of transportation systems. For this purpose, this research proposes a data-driven approach to measure the operational performance of TSMO strategies to identify the most cost-effective ones to reduce the user delay costs caused by non-recurrent congestion. Given that Maine is a rural state with long winters, existing TSMO performance metrics will be carefully reviewed and only the most applicable ones will be adopted to evaluate TSMO strategies. Also, this research will investigate the spatial and temporal distributions of non-recurrent congestion using data analytics and/or visualization tools to identify causes. The results will help MaineDOT identify cost-effective TSMO strategies and high-yield project sites. They can also be used for MaineDOT and state police to develop proactive highway patrol plans.
]]></description>
      <pubDate>Fri, 03 Dec 2021 13:21:52 GMT</pubDate>
      <guid>https://rip.trb.org/View/1895370</guid>
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      <title>Identification of Unpredictable Sources of Non-recurring Congestion and Mitigating Strategies (Project A4)</title>
      <link>https://rip.trb.org/View/1843136</link>
      <description><![CDATA[Transportation Systems Management and Operations (TSMO) strategies implemented by local and state transportation agencies aim at improving mobility and safety through monitoring, providing traveler information and direct intervention. Congestion management has historically focused on mobility improvements that focus on capacity and quality of service for a typical travel day. TSMO strategies often target reliability of travel and non-recurring congestion, with sources including 1) Incidents, 2) Weather, 3) Work Zones, and 4) Special Events. Many of the sources of congestion are inherently unpredictable events and strategies targeting these causes must be adaptive and timely. These strategies are also often difficult to fully capture the effectiveness as data needs may be very high and analysis methods for the operational strategies differ significantly from traditional transportation projects. This project will focus on the identification of strategies available to address unpredictable congestion as well as guidance on implementation and estimating benefits. The results of this project will provide agencies with a playbook of strategies available to address unreliable travel due to a wide variety of sources of congestion. Agencies can utilize the developed case studies in order to consider pilot testing or wide-scale adoption of successful strategies. The project will develop a set of case studies based on feedback from Southeast DOT stakeholders of strategies which have been at least pilot tested within their agencies. Data will be collected on the goals of the strategy, staffing or contracting needed to implement as well as any estimated benefits the agencies have collected. This will be summarized in a white paper as well as a webinar developed for practitioners within agencies.]]></description>
      <pubDate>Thu, 25 Mar 2021 20:32:22 GMT</pubDate>
      <guid>https://rip.trb.org/View/1843136</guid>
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    <item>
      <title>Traveler Information Requirements for Non-recurring Events</title>
      <link>https://rip.trb.org/View/1521572</link>
      <description><![CDATA[No abstract provided.]]></description>
      <pubDate>Tue, 03 Jul 2018 13:07:28 GMT</pubDate>
      <guid>https://rip.trb.org/View/1521572</guid>
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    <item>
      <title>Traveler Information Requirements for Non-recurring Events</title>
      <link>https://rip.trb.org/View/1513419</link>
      <description><![CDATA[No abstract provided.]]></description>
      <pubDate>Wed, 23 May 2018 09:59:57 GMT</pubDate>
      <guid>https://rip.trb.org/View/1513419</guid>
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