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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>Estimation of Pedestrian Compliance at Signalized Intersections Considering Demographic and Geographic Factors (Phase II)</title>
      <link>https://rip.trb.org/View/1881801</link>
      <description><![CDATA[Increasing the share of walking as a travel mode is a goal for many urban areas for improving environmental sustainability. However, economic and social sustainability could degrade if the increased pedestrian traffic is not compliant with traffic signal indications. The objective of this project is to estimate models to predict pedestrian compliance at traffic signals as a function of traffic, demographic, geospatial and road design factors. The research team will seek to associate observed pedestrian compliance with traffic signal phasing with census-reported population data, data describing the nearby land development pattern and data describing crosswalk site and roadway characteristics, along with pedestrian and vehicle traffic counts. Pedestrian and vehicle counts, along with the compliance observations, will be gathered from the archives of a recent project conducted by the lead principal investigator in which pedestrian and vehicle interactions were observed at a total of 42 signalized intersections. Parcel-level land use data have been acquired for each municipality where a pedestrian crossing was observed. Population data will be acquired at the census block level from the 2010 decennial Census. Crosswalk site characteristics, including type of traffic control design and crossing distance, were observed at each crossing and are available in the project archives. Network topologies available from State agencies and the Census Bureau will be used to describe the connectedness of the street network surrounding each pedestrian crossing location. The result will be information about how pedestrian signal compliance relates to pedestrian and vehicle traffic counts over a range of land development, demographic, crosswalk and roadway conditions. These models will support the CAMMSE theme areas of “generate innovations in multi-modal planning and modeling for high-growth regions” and “Develop data modeling and analytical tools to optimize passenger and freight movements”. For this extension, the research team will collect additional data in conjunction with another project funded by Connecticut Department of Transportation and Federal Highway Administration.]]></description>
      <pubDate>Mon, 04 Oct 2021 12:09:22 GMT</pubDate>
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      <title>Estimation of Pedestrian Compliance at Signalized Intersections Considering Demographic and Geographic Factors</title>
      <link>https://rip.trb.org/View/1745749</link>
      <description><![CDATA[Increasing the share of walking as a travel mode is a goal for many urban areas for improving environmental sustainability. However, economic and social sustainability could degrade if the increased pedestrian traffic is not compliant with traffic signal indications. The objective of this project is to estimate models to predict pedestrian compliance at traffic signals as a function of traffic, demographic, geospatial and road design factors. We will seek to associate observed pedestrian compliance with traffic signal phasing with census-reported population data, data describing the nearby land development pattern and data describing crosswalk site and roadway characteristics, along with pedestrian and vehicle traffic counts. Pedestrian and vehicle counts, along with the compliance observations, will be gathered from the archives of a recent project conducted by the lead principal investigator in which pedestrian and vehicle interactions were observed at a total of 42 signalized intersections. Parcel-level land use data have been acquired for each municipality where a pedestrian crossing was observed. Population data will be acquired at the census block level from the 2010 decennial Census. Crosswalk site characteristics, including type of traffic control design and crossing distance, were observed at each crossing and are available in the project archives. Network topologies available from State agencies and the Census Bureau will be used to describe the connectedness of the street network surrounding each pedestrian crossing location. The result will be information about how pedestrian signal compliance relates to pedestrian and vehicle traffic counts over a range of land development, demographic, crosswalk and roadway conditions. These models will support the CAMMSE theme areas of “generate innovations in multi-modal planning and modeling for high-growth regions” and “Develop data modeling and analytical tools to optimize passenger and freight movements”.]]></description>
      <pubDate>Sat, 17 Oct 2020 14:11:18 GMT</pubDate>
      <guid>https://rip.trb.org/View/1745749</guid>
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      <title>Modeling and Specifications of LED Based Runway Lighting Systems</title>
      <link>https://rip.trb.org/View/1392186</link>
      <description><![CDATA[The goal of the proposed effort is to develop models that enable the identification and mitigation of potential stability and electromagnetic coupling/compatibility issues in Light Emitting Diode (LED)-based runway lighting systems. Specific concerns of stability result from the fact that the LED lights have their own power electronic circuit that provides fixture-centric regulation. The LED lights are embedded within a runway electrical architecture in which a regulated source is used to control current to the lights. A concern is that if not properly designed, the fixture and regulated source will yield undesirable source/load interactions. In tandem with stability, a concern is that the switching of the power electronic circuits introduces unintended coupling within the system and electromagnetic interference between the lights and other electrical systems around the runway. At present, the Federal Aviation Administration (FAA) is considering several alternative circuit and control topologies to provide power to LED-based runway lighting systems. One objective of the research is to develop models of the proposed topologies to facilitate investigation of system stability and electromagnetic coupling due to power electronic switching. In developing the models it is likely that modifications to the proposed topologies/controls or additional topologies/controls will emerge. A second objective is to develop methods to parameterize the respective models. Finally, a third objective is to explore methods of using the models to create specifications for source/load manufacturers so that source/load interactions and unintended electromagnetic coupling is prevented in runway lighting systems. The project would includes the following tasks: Models for LED systems stability, parameter characterization of stability models, stability assessment and alternative controls, models for LED system compatibility, parameter characterization of compatibility models, and assessment and compatibility.The models will provide the FAA with means to evaluate and compare alternative topologies and controls for stability and compatibility. It also provides a means to explore ways to create specifications on source/load manufacturers so that potential issues are addressed prior to runway installation. Finally, alternative topologies and/or controls may emerge that yield more efficient, cost effective, or better performing lighting systems.  ]]></description>
      <pubDate>Tue, 19 Jan 2016 16:03:08 GMT</pubDate>
      <guid>https://rip.trb.org/View/1392186</guid>
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