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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>Food &amp; Flora Waste to Fleet Fuel (F4) Framework: Reaching the Next Technology Readiness Levels</title>
      <link>https://rip.trb.org/View/1756012</link>
      <description><![CDATA[The Food & Flora Waste to Fleet Fuel (F4) Framework helps evaluate the economic feasibility of creating renewable fleet fuel using existing wastewater treatment plant (WWTP) digester infrastructure. At WWTPs, food and flora (yard) waste, as well as wastewater sludge, can be used to produce biogas, which can be cleaned for use in natural gas vehicles, or burned to generate electricity for electric vehicles. The project aims to accomplish the following objectives:  
(1) Form and solicit input from a multi-disciplinary Advisory Group of state/regional government officials and industry representatives in transportation, solid waste management, wastewater, and agriculture (farm digesters), to guide advancement of the F4 Framework from TRL 5 to 8.
(2) Upgrade F4 to Version 2.0 via improvements arising from the previous project, Advisory Group recommendations, and case studies to be conducted in Obj. 3.
(3) Conduct case studies for two additional communities for conversion of food/yard waste to fleet fuel, and showcase the use of F4 Version 2.0 to estimate costs, fuel produced, and emission benefits.
]]></description>
      <pubDate>Sat, 05 Dec 2020 18:54:04 GMT</pubDate>
      <guid>https://rip.trb.org/View/1756012</guid>
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      <title>Naphthalene removal Assessment</title>
      <link>https://rip.trb.org/View/1549375</link>
      <description><![CDATA[The public health, global climate change and economic impacts of reduction and /or removal of naphthalene from jet fuel will be assessed.]]></description>
      <pubDate>Fri, 21 Sep 2018 18:23:21 GMT</pubDate>
      <guid>https://rip.trb.org/View/1549375</guid>
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      <title>Continuation of Development of Spray Models for the Description of Multicomponent Jet Fuels effects - Project 29B</title>
      <link>https://rip.trb.org/View/1549360</link>
      <description><![CDATA[Research is directed towards the high fidelity modeling and analysis of primary and secondary breakup process...]]></description>
      <pubDate>Fri, 21 Sep 2018 18:22:35 GMT</pubDate>
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      <title>Distributed Traffic Control for Reduced Fuel Consumption and Travel Time in Transportation Networks </title>
      <link>https://rip.trb.org/View/1371683</link>
      <description><![CDATA[Current technology in traffic control is limited to a centralized approach that has not paid appropriate attention to efficiency of fuel consumption and is subject to the scale of transportation networks. This project proposes a transformative approach to the development of a distributed framework to reduce fuel consumption and travel time through the management of dynamic speed limit signs. The project proposes to integrate the roadway infrastructures equipped with sensing, communication, and parallel computation functionalities in the new traffic control paradigm.

The research approach was built on three essential objectives to establish an energy-efficient traffic control methodology:

·   Implementation of a distributed control framework in large-scale transportation networks

·   Simulation of dynamic traffic flow and performance tracking under implemented control signals using real-time traffic and vehicle data

·   Data analysis and sustained strategy improvement

Going beyond the existing distributed architectures where precise dynamic flow models and fuel consumptions have not been considered, the work generated traffic control strategies to realize real-time, macroscopic-level traffic regulation with high precision.

Simulation results demonstrated reduced fuel consumption and alleviated traffic congestion. The feasibility of the proposed optimization method was verified through Vissim simulation that considered different traffic volumes and random seed parameters.]]></description>
      <pubDate>Wed, 14 Oct 2015 12:48:23 GMT</pubDate>
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