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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>Testing MS Sedco INTERSECTOR Radar Detectors for Car/Bike Differentiation</title>
      <link>https://rip.trb.org/View/1441872</link>
      <description><![CDATA[The California Vehicle Code (CVC) 21450.5, effective January 1, 2008, states that bicycles must be detected at new or modified traffic actuated signals, or else the traffic signal must be set to vehicle recall for all phases without bicycle detection.  The Traffic Operations Policy Directive 09-06 and subsequent implementation memo mandate that bicycles must be detected and given extra initial green time if present, or else the traffic signal must be set to always give an initial green time sufficient for bicycle passage.  Therefore, the California Department of Transportation's (Caltrans’) Division of Traffic Operations is searching for technology capable of detecting both vehicles and bicycles as well as distinguishing between them.  Caltrans currently uses inductive loop detectors almost exclusively, but they cannot distinguish between bicycles and vehicles.  Using an off-pavement detection technology such as radar that can distinguish between them would allow Caltrans to only give additional initial green time to bicycles when detected.   Use of off-pavement detection technology would also help to responsibly manage California’s transportation assets through preservation of funding and environmental resources.  The lifetime cost of radar detection, including procurement, installation and maintenance, is less than that of loop detectors.  Pavement integrity would be preserved by eliminating loop cutting, which would reduce the need for congestion-causing lane closures during detector installation and maintenance.]]></description>
      <pubDate>Wed, 04 Jan 2017 10:55:14 GMT</pubDate>
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      <title>Bus Stops near Signalized Intersections: Analytical Models, Management Strategies and Design Guidelines</title>
      <link>https://rip.trb.org/View/1239216</link>
      <description><![CDATA[Curbside bus stops are often located in close proximity to signalized intersections. A bus that dwells at a stop of this kind can impede queued cars upstream as they attempt to discharge into the intersection during green times. This state of affairs adds to the delay and queueing of cars, which in turn can negatively impact the bus. The project seeks to formulate analytical models that quantify these negative impacts of bus-stop operation. The models will be developed using kinematic wave theory, and the project envisions very general models that can be applied: to bus stops that are located either upstream or downstream of their neighboring intersections; and to wide ranges of car and bus demand and roadway geometry. The project will use the models to theoretically explore innovative bus-stop management strategies. The goal here is to devise strategies that improve travel for both buses and cars. Model predictions will be tested against simulation and real observation. Finished products will include a set of guidelines to assist practitioners in determining both, where to place bus stops relative to intersections, and how to manage the buses and cars at and around these stops in greener ways.]]></description>
      <pubDate>Thu, 31 Jan 2013 01:01:32 GMT</pubDate>
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