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    <title>Research in Progress (RIP)</title>
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <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>Standardization of SIP Calculation for Hamburg Wheel
Tracking Test (TPF-5(466))</title>
      <link>https://rip.trb.org/View/2414394</link>
      <description><![CDATA[This project aimed to develop software to standardize and automate the calculation of stripping inflection point (SIP) from the Hamburg Wheel Tracking Test (HWTT) for evaluating the moisture susceptibility of asphalt mixtures. A survey of state highway agencies (SHAs) was conducted to collect information on their use of HWTT to evaluate asphalt mixtures. Based on the survey responses and consultations with HWTT equipment manufacturers, seven SIP calculation methods were identified, synthesized, and critically reviewed for comparison. These efforts resulted in selecting the most robust method for software development. Finally, a web-based program, named HWTTXpert, was developed through alpha testing at the National Center for Asphalt Technology (NCAT) at Auburn University and beta testing with 12 SHAs and three equipment manufacturers. The program is now accessible at http://HWTTXpert.eng.auburn.edu, with login credentials available upon request.]]></description>
      <pubDate>Fri, 09 Aug 2024 16:52:58 GMT</pubDate>
      <guid>https://rip.trb.org/View/2414394</guid>
    </item>
    <item>
      <title>Informing Emerging Mode Choice Decisions Through a Carbon Impact Calculator</title>
      <link>https://rip.trb.org/View/2008012</link>
      <description><![CDATA[Transportation contributes 29% of annual greenhouse gas emissions in the United States, with light duty vehicles, such as those used by commuters, contributing 59% of transportation related emissions. There is significant potential to empower commuters to consider the environmental impact of their mode choice when selecting among different options. Although some carbon 
calculators do exist for transportation, they are often gasoline automobile centric and do not include emerging transportation technologies (such as e-bikes, electric vehicles, and hybrids, etc.), nor do they allow the users to compare multiple modes for single trip, nor do they allow the users to mutually compare multiple modes for single trip at the instance of travel at the same time. The 
proposed work will collaborate with industry and community partners to produce a stakeholder informed calculator for the carbon intensity of trip mode comparisons, to inform commuter choice.  The project team will utilize pre and post application adoption surveys to better understand how the provided environmental impact data shifted mode choices and travel behavior. The specific objectives of the 
project are: (1) Determine the use phase greenhouse gas emissions for modes of transportation on a per mile basis, (2) Create web-based calculator for the greenhouse gas emissions of different modes of transportation, and (3) Utilizing a pre- and post-survey evaluate how mode choice and travel behavior has changed due to the environmental impact knowledge. The project team will work with partners to inform the creation of the smartphone app and for distribution of the app.
]]></description>
      <pubDate>Tue, 16 Aug 2022 18:31:06 GMT</pubDate>
      <guid>https://rip.trb.org/View/2008012</guid>
    </item>
    <item>
      <title>Michigan Hydrologic Calculation Procedures</title>
      <link>https://rip.trb.org/View/1993820</link>
      <description><![CDATA[The Federal Highway Administration (FHWA), the Michigan Department of Environment, Great Lakes, and Energy (EGLE) and the Michigan Department of Transportation (MDOT) reviewed the approved procedures for calculating discharges from simulated
Michigan rainfall events. The current hydrologic methods rely on older data sets and new data is available for consideration. While EGLE and MDOT understand how these procedures need to be updated, limited staff resources are focused on critical assessment tasks and cannot be diverted to quickly update these methods. The updating of these methods is critical because discharges are currently used to assess flood conditions for mapping, conveyance design, and flood mitigation. EGLE and MDOT have a desire to incorporate modern data sets into existing methodologies to improve calculated discharge results.]]></description>
      <pubDate>Thu, 14 Jul 2022 13:00:31 GMT</pubDate>
      <guid>https://rip.trb.org/View/1993820</guid>
    </item>
    <item>
      <title>Development of Florida Traffic Characteristics for Service Volume Calculations Based on Latest HCM</title>
      <link>https://rip.trb.org/View/1664477</link>
      <description><![CDATA[There are two objectives of this project: The first objective is to evaluate the suitability of existing archival data sources for identifying local values of critical Highway Capacity Manual (HCM) analysis methodology parameters, and develop a process for calculating such parameter values from suitable data sources. The second objective is to explore the options of updating the Department’s Generalized level of service (LOS) Tables, to have them to closer in line with the latest HCM 6, and the optimal methodology of evaluating/reporting new type of facilities such as managed lanes, and to update the contents of the Generalized LOS Tables.]]></description>
      <pubDate>Tue, 05 Nov 2019 10:55:24 GMT</pubDate>
      <guid>https://rip.trb.org/View/1664477</guid>
    </item>
    <item>
      <title>Small Aircraft Runway Length Analysis Tool



</title>
      <link>https://rip.trb.org/View/1645867</link>
      <description><![CDATA[One of the most important operational characteristics of an airport is the length of its longest runway, as this is a key factor in determining the types of aircraft that can use the airport and whether or not these aircraft can operate at maximum capabilities. Runway length is also important from a cost perspective, because longer runways generally cost more to maintain. Runway length requirements often are difficult to determine for small (i.e., under 12,500 pounds) aircraft, due to limited and hard-to-acquire aircraft data. In addition FAA Advisory Circular 150/5325-4B, Runway Length Requirements for Airport Design has not been updated in nearly 15 years and may not reflect current small aircraft fleet performance data. Airports need confidence that the calculated runway length will meet their service needs. Although the FAA is pursuing development of a runway length analysis tool for large aircraft, which will be integral to an update of the advisory circular, research is needed to develop a similar tool for small aircraft.
The objective of this research is to develop a Small Aircraft Runway Length Analysis Tool, Small Aircraft Performance Database, and user guide for the tool.
 The Small Aircraft Runway Length Analysis Tool should:
(1) Account for unique airport characteristics and conditions (e.g., temperature, elevation, gradient, wet runway);
(2) Consider both individual aircraft types and aircraft families; and
(3) Allow users to evaluate various runway length scenarios based on guidance from FAA advisory circulars, varying levels of service, or what may be desired by the airport and community.
The Small Aircraft Performance Database should, at a minimum:
(1) Include active civil fixed-wing aircraft weighing less than 12,500 pounds and certificated under 14 CFR Part 23; and
(2) Account for performance engineering by aircraft type (e.g., takeoff weight, power settings).
The user guide should include, at a minimum:
(1) Step-by-step instructions for using the tool;
(2) Suggestions for data sources and/or assumptions to best characterize the unique operational features of subject airports;
(3) Guidelines for setting up runway length analysis cases; and
(4) Guidelines for interpreting and presenting results to various stakeholders.]]></description>
      <pubDate>Mon, 12 Aug 2019 21:41:15 GMT</pubDate>
      <guid>https://rip.trb.org/View/1645867</guid>
    </item>
    <item>
      <title>Measuring and Managing Fare Evasion</title>
      <link>https://rip.trb.org/View/1577714</link>
      <description><![CDATA[Fare evasion impacts transit agency revenue, ridership, perceptions of fairness from paying passengers, and perceptions of safety. Accurate fare evasion measurement can improve ridership data, inform policy decisions, and prioritize resources for fare enforcement. 
 
Fare evasion involves traveling on public transit without deliberately purchasing or possessing the fare media required to travel. It is a criminal offense in many jurisdictions, although some are now examining decriminalization of the offense. In some jurisdictions, equity concerns have been raised. 
 
Fare evasion has been examined in the media with questions about how the fare evasion rate is calculated and how fare evasion can be deterred. Fare evasion has also received the scrutiny of the Federal Transit Administration and could affect the counting of non-farebox passengers in National Transit Database ridership figures. 
 
Research is needed to understand the various aspects of fare evasion. This research will inform the actions of transit agencies to better measure and manage fare evasion and its implications. OBJECTIVE: The objective of this research is to prepare a report on the state of fare evasion and agency initiatives on fare evasion measurement, deterrence, and enforcement. The report will include definitions of fare evasion used by transit agencies across the United States; describe the methods transit agencies use to calculate fare evasion rates; describe how transit properties deter and enforce fare evasion; and include the penalties for fare evasion. The final deliverables should assist transit agencies to better understand and communicate the methods used to calculate fare evasion and its costs, the implications of fare evasion, and the effectiveness and impact of fare evasion policies.
 



 
]]></description>
      <pubDate>Tue, 08 Jan 2019 06:50:12 GMT</pubDate>
      <guid>https://rip.trb.org/View/1577714</guid>
    </item>
    <item>
      <title>A Customizable Web-Based Emissions Calculator for Midwest Freight Carriers and Regional Planners</title>
      <link>https://rip.trb.org/View/1234701</link>
      <description><![CDATA[In previous National Center for Freight and Infrastructure Research and Education (CFIRE) funded research, emissions calculation methodologies were developed to forecast freight-related emissions of criteria air pollution and greenhouse gases. While simple emission factors exist, these new methodologies are unique because they incorporate location-specific, speed-dependent data for freight transport. This data can be coupled to speed dependent emission factors to produce a much more rigorous emissions inventory that reflects location-specific driving conditions. Because fuel economy and combustion vary considerably with speed, these inventories should improve accuracy considerably if they can be properly customized. The goal of this work is to provide a web-based tool for easy estimation of fleet emissions using state-specific data, and also enable further customization to reflect driving conditions by individual fleet managers.]]></description>
      <pubDate>Thu, 03 Jan 2013 15:17:57 GMT</pubDate>
      <guid>https://rip.trb.org/View/1234701</guid>
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