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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>Band Finder: Vehicular Trajectory-Driven Method for Signalized Corridor Control Under Connected and Automated Vehicles (C/AV) Environment</title>
      <link>https://trid.trb.org/View/1439263</link>
      <description><![CDATA[This research presents a signal control strategy utilizing vehicular trajectory-driven optimization method. Band Finder provides individual drivers equipped with opt-in device (i.e. smartphone or tablet) with advisory speed information enabling to minimize overall travel time of the vehicle while negotiating signalized corridor. Signal status parameters such as cycle length and remaining green/red time are continuously captured. At the same time in-vehicle unit provides vehicle position information through cell-phone global positioning system (GPS) receiver. Both inputs are then used by optimization algorithm to provide optimal vehicle speed that will achieve minimal vehicle delay along the signalized corridor. To calculate the most optimal advisory speed for individual vehicles a non-linear optimization algorithm was utilized. The concept was evaluated using microsimulation in PTV VISSIM. The results for selected signalized corridor in Woodbridge, New Jersey indicate 1.2% to 5.4 % reduction in overall corridor travel time depending on different market penetration and traffic volume conditions.]]></description>
      <pubDate>Fri, 10 Mar 2017 14:38:30 GMT</pubDate>
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      <title>Optimizing Sustainable Feeder Bus Operation Considering Realistic Networks and Heterogeneous Demand</title>
      <link>https://trid.trb.org/View/1261455</link>
      <description><![CDATA[This article presents a mathematical model that can be used to optimize social and fiscal sustainable operation of a feeder bus system.  The model incorporates both a realistic network and heterogeneous demand to determine financial sustainability.  The objective total profit is a nonlinear, mixed integer function, which is maximized by optimizing the number of stops, headway, and fare. The stops are located to maximize ridership and the demand elasticity for the bus service is dependent on passengers' access distance, wait time, in-vehicle time, and fare.  The authors developed an optimization algorithm to search for the optimal solution that maximizes the profit in their model. They then apply this model to a real-world example for planning a bus transit system in Woodbridge, New Jersey.]]></description>
      <pubDate>Fri, 25 Oct 2013 11:24:57 GMT</pubDate>
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