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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>Determine Land Use Patterns, Travel, Regional Development, Population Trends, and Technology Change Impacts on Texas Energy Use and Carbon Emissions</title>
      <link>https://rip.trb.org/View/2593190</link>
      <description><![CDATA[Travel demand modelers and policymakers detailed forecasts of local and regional land use patterns and travel demands, both local and long distance, for freight and passengers, to anticipate Texas' evolving energy demands and their associated costs, emissions, safety, and other quality-of-life implications. To this end, the research team will (1) highlight the various energy, cost, and environmental impacts of different land-development settings across Texas, along with the integrated nature of travel, the built environment, energy, water, health, and natural systems; (2) quantify the infrastructure differences, travel differences, emissions, and energy differences of different land use settings, to accommodate the same number of persons and jobs in different built environments; and (3) use those findings to develop tools for strategic energy- and emissions-related forecasting, reflecting various policy and practice options across Texas settings, including, for example, changes in vehicle and building technologies and incentives, transport fuels and energy policies, zoning practices and building codes, transport system investments and operations, and energy-supply decisions.]]></description>
      <pubDate>Tue, 26 Aug 2025 12:39:33 GMT</pubDate>
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      <title>Assessment of Traffic Congestion in Anchorage Utilizing Vehicle-Tracking Devices and Intelligent Transportation System Technology</title>
      <link>https://rip.trb.org/View/1307046</link>
      <description><![CDATA[Traffic is increasing in most urban cities around the world, with Anchorage being no exception. According to the United States Census Bureau, the population of Anchorage has increased by over 9.0% (8000 people per year) since the year 2000 [18]. With an increase in population comes an increase in the number of vehicles on the road, which adds to traffic congestion. The exact impact of this increase is not known because the current means of determining congestion in Anchorage is through vehicle counters and sparsely-placed video cameras (that may or may not be monitored). In addition, the only ways drivers in Anchorage can be informed of current traffic conditions is through radio and television broadcasts and 511 information (which is not always updated in a timely manner). Vehicle-tracking devices utilizing a vehicle-to-infrastructure (V2I) architecture have already been installed in 15 vehicles in the city of Anchorage, and this project will install these devices in an additional 30 vehicles. Further, taxi fleets, emergency response vehicles, transit vehicles, shipping vehicles, navigation system companies, and any other organizations that may be tracking speed, location, and direction of vehicles will be contacted to attempt to leverage the data that is already being collected. From all of the data that is being collected and will be collected, a realistic measurement and understanding of congestion in Anchorage will be determined. As more vehicles are equipped with tracking devices, the data will become more accurate and will include a larger range of the city and state. In addition, the Department of Transportation (DOT) does not currently have much data on the origin and destination of individual vehicles, and this project will provide that information. The overall delay experienced by individual drivers and the extent of cut-through and spill-over traffic due to congestion will be determined. The data gathered in this project will all be anonymously exposed in a public web interface called FreeSim (http://www.freewaysimulator.com, Figure 1) that can be viewed by anyone. The current speeds of the tracked vehicles will be displayed using different colors on the roads, as well as showing exact speeds when hovering the mouse over a road or vehicle. Historical data will be maintained so that algorithms can be executed to determine daily, weekly, monthly, seasonal, and annual changes in traffic. In short, this project will provide the DOT, the population of Anchorage, and anyone in the world with data about the current state of traffic on the roads of Anchorage and Alaska. The novelty of this project is that the data will be gathered from a continuous flow of data rather than at discrete locations, as is the case with many traffic analysis tools currently in use. As additional resources becomes available, drivers will have the ability to view the current traffic conditions during their commutes, and further, the system will be able to send drivers the streets to take to minimize the amount of time spent in traffic.]]></description>
      <pubDate>Thu, 24 Apr 2014 01:01:06 GMT</pubDate>
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