<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <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>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>A New Characterization of Supercooled Clouds Below 10,000 Feet AGL</title>
      <link>https://trid.trb.org/View/2732479</link>
      <description><![CDATA[Icing envelopes which effectively characterize supercooled clouds from ground level to 10,000 feet above ground level (AGL) over the contentious United States have been generated from a new data base of aerial observations. This data base, recently established via an Interagency Agreement between the FAA and the Naval Research Laboratory is the largest, most significant compilation of low-altitude supercooled characteristics currently in existence. It is intended that this new characterization serve as a basis for the establishment of design criteria and regulations that pertain to ice protection systems and equipment for low performance aircraft which typically operate below 10,000 feet. This new characterization groups the supercooled cloud properties for all cloud types observed into three temperature ranges and presents their associated values of liquid water content (LWC), range of median volume droplet diameters (MVD), and icing event duration. Details of the analysis process are discussed which use a least squares logarithmic regression estimation technique to predict the extreme values of supercooled cloud properties.]]></description>
      <pubDate>Wed, 19 Aug 2026 18:11:19 GMT</pubDate>
      <guid>https://trid.trb.org/View/2732479</guid>
    </item>
    <item>
      <title>A New Data Base of Supercooled Cloud Variables for Altitudes up to 10,000 Feet AGL and the Implications for Low Altitude Aircraft Icing</title>
      <link>https://trid.trb.org/View/2732478</link>
      <description><![CDATA[About 7000 nautical miles (nmi) of airborne measurements in a variety of supercooled cloud types and weather conditions up to 10,000 feet (3 kilometers) above ground level (AGL) have been computerized to form a new Data Base of cloud variables applicable to low altitude aircraft icing studies. Half of the data is from the aircraft icing research flights conducted by the National Advisory Committee for Aeronautics (NACA) in 1946-50. The other half is from recent wintertime research flights by the Naval Research Laboratory and other organizations, mostly over the conterminous United States (CONUS) and nearby offshore areas. The Data Base includes liquid water content (LWC), cloud droplet median volume diameter (MVD), true outside air temperature (OAT), horizontal extent and altitude of uniform cloud intervals as well as information on cloud type, weather conditions, date and geographic location, and other data. A variety of analyses are illustrated which yield these principal conclusions: The NACA and modern CONUS measurements generally agree in most aspects for similar amounts of data in similar cloud and weather conditions. The Intermittent Maximum and Continuous Maximum "envelopes" in the Federal Aviation Regulations, Part 25 (FAR-25), Appendix C, do not correctly describe the icing environment for altitudes up to 10,000 feet AGL. The average ice accretion rate appears to be independent of altitude between 2000 and 10,000 feet AGL.]]></description>
      <pubDate>Wed, 19 Aug 2026 18:11:19 GMT</pubDate>
      <guid>https://trid.trb.org/View/2732478</guid>
    </item>
    <item>
      <title>FTA Section 8 Project C930 Track Map Correlation: Final Report</title>
      <link>https://trid.trb.org/View/2731617</link>
      <description><![CDATA[Project C-930, "Track Map Correlation", was a Federal Transit Administration (FTA) funded Section 8 grant sponsored by the New York City Transit Authority (NYCTA) and carried by the Division of Track, formerly the Track and Structures Department. The purpose of the project was to upgrade and augment all paper and computer based track data pools in use throughout the NYCTA. The product of project C-930 would be absorbed into one complete, consistent, integrated computer aided design system and database network. Through this network all current track information would be instantly accessible to any user. A direct result of this project is the ongoing conversion of existing data to conform to the project's specifications. In addition, procedures have been established to enter new information into the databases as it is generated, thereby facilitating the planning process for track renewal. As the proposed systemwide network both absorbs more and better field data from various locations, and integrates and disseminates these data, the planning process will achieve higher degrees of integration and efficiency.]]></description>
      <pubDate>Sat, 08 Aug 2026 12:14:31 GMT</pubDate>
      <guid>https://trid.trb.org/View/2731617</guid>
    </item>
    <item>
      <title>Datakvalitet i Transportstyrelsens register över vägtrafikolyckor(Strada) : en beskrivning ur ett användarperspektiv</title>
      <link>https://trid.trb.org/View/2752091</link>
      <description><![CDATA[Strada is a national registry for road traffic crashes that combines data from the police and emergency hospitals. The aim is to provide detailed information on both crash circumstances and injuries for research, evaluation, and target monitoring.  The purpose of this study is to describe Strada's data quality from a user perspective and to propose recommendations for improving quality and usability. Partial missing data, report matching, data linkages to the national road database (NVDB), documentation and metadata are explored. The study is based on analysis of Strada data, document studies, and the collection of expert knowledge.  The results show that the coverage of fatalities is insufficient, the usability of linked NVDB data is low, and documentation needs improvement. Regarding partial missing data, the results indicate an improvement over time for police reports and a decline for healthcare reports. Furthermore, a description of the matching algorithm has been developed. Based on this description and the results, it is recommended to:   hold discussions with the ministry and the relevant authorities concerning police deprioritisation of reporting to Strada;  prioritise inclusion of individuals with protected personal data;  expand the value sets of variables to provide clearer categorisation of missing values;  ensure possible linkage to the police's internal investigation materials;  map the matching algorithm in detail: develop a user guide describing the linkage to NVDB; reintroduce road type as a police-reported variable with the NVDB value set; develop the reporting tools to only include relevant road links from NVDB and to structure them into separate variables; divide the user manual into two documents with registry information and extraction information; create a machine-readable variable metadata file to be included with extracted data, and  offer data in text format as an alternative to the Excel format.]]></description>
      <pubDate>Fri, 07 Aug 2026 08:36:56 GMT</pubDate>
      <guid>https://trid.trb.org/View/2752091</guid>
    </item>
    <item>
      <title>Recreational Vessel Casualty Reporting: Insight into making boating safer for everyone</title>
      <link>https://trid.trb.org/View/2742175</link>
      <description><![CDATA[The National Recreational Boating Safety (RBS) program requires states to have a marine casualty reporting system as one of five elements necessary for approval of a state RBS program. In consequence, state RBS programs collect information each year on boating deaths, injuries, and accidents and enter it into the Boating Accident and Reporting Database (BARD). Gathering the information required to complete the incident reporting form takes professionalism, diligence, and training on the part of state casualty investigators. The Coast Guard, through a grant to the National Association of State Boating Law Administrators (NASBLA), provides investigators with this training which is also available to Coast Guard personnel. Using the state investigators’ reports, the Coast Guard produces the annual Recreational Boating Statistics Report each calendar year. The Casualty Reporting System has delivered tremendous insight into the nature of boating incidents—allowing for interventions that have saved nearly 100,000 lives—and continues reducing the number of boating-related deaths, currently at an all-time low.]]></description>
      <pubDate>Mon, 03 Aug 2026 09:10:38 GMT</pubDate>
      <guid>https://trid.trb.org/View/2742175</guid>
    </item>
    <item>
      <title>Database Calibration of Design Methods and LRFD Resistance Factors for Auger Cast-in-Place and Drilled Displacement Piles</title>
      <link>https://trid.trb.org/View/2694393</link>
      <description><![CDATA[Auger cast-in-place (ACIP) and drilled displacement (DD) piles are routinely considered as an alternative to drilled shafts or driven piles. However, their acceptance to support bridges has been lagging. The load and resistance factor design (LRFD) procedures in the bridge design specifications of the American Association of State Highway and Transportation Officials (AASHTO) do not address ACIP and DD piles. To fill this gap, a load test database DUT/CFA/836 is developed in this paper, including 615 ACIP piles and 221 DD piles. The load tests in DUT/CFA/836 are analyzed from three aspects: (1) determine the bearing capacity of piles (Qfi) based on the measured load-displacement (Qt-w) curves by three methods in the International Building Code for comparison purposes; (2) calculate the bearing capacity of piles (Ruc) by 23 methods based on soil parameters (indirect) or in situ test data (direct); and (3) predict the Qt-w curves by seven sets of nonlinear t-z and q-w models to account for the load transfers in shaft shearing and end bearing, respectively. For each quantity of interest—bearing capacity, permissible load, and displacement at a service load—the bias and scatter of the predictions are characterized by the mean and coefficient of variation (COV) of the ratio of measured (or interpreted) to calculated values (called model factor). Following the AASHTO LRFD methodology, the values of the mean and COV of the capacity model factor are used to calibrate the LRFD resistance factors for ACIP and DD piles at the Strength I limit state.]]></description>
      <pubDate>Wed, 29 Jul 2026 09:15:26 GMT</pubDate>
      <guid>https://trid.trb.org/View/2694393</guid>
    </item>
    <item>
      <title>Documentation of Format and Content of Human Factors Database</title>
      <link>https://trid.trb.org/View/2719335</link>
      <description><![CDATA[This documentation describes the database for a flight test program involving 12 subject pilots, flying 72 flights (6 flights each), with a total of 424 midair encounters, using an automatic advisory service.]]></description>
      <pubDate>Sun, 19 Jul 2026 19:13:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2719335</guid>
    </item>
    <item>
      <title>Approaches to Collecting and Processing an Ambient Air Quality Database</title>
      <link>https://trid.trb.org/View/2579368</link>
      <description><![CDATA[This paper presents a methodology for collecting data on air quality in a populated place with a developed infrastructure and an intensive flow of vehicles. The presence of a large number of vehicles and their mass use leads to an increase in the levels of harmful emissions above the permissible values. Data are presented on the concentrations of pollutants such as fine particulate matter PM10, PM2.5, nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3). Data sources include sensor networks, data from environmental agencies and data from own measurements. Various methods have been used to analyze air pollution levels. The expected result of the present work is the creation of a generalized system for collection, analysis of a database of air pollution in a certain populated place, which will support the consideration of various factors, location and time periods for the assessment and forecast of the state of the atmospheric air.]]></description>
      <pubDate>Mon, 13 Jul 2026 10:46:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/2579368</guid>
    </item>
    <item>
      <title>Subsurface Analysis Planning Tool for Cost Reduction, Rapid Emergency Evaluation, And Data Support for Rural Service Areas</title>
      <link>https://trid.trb.org/View/2726188</link>
      <description><![CDATA[Transportation professionals often make important decisions about system dependability, project design, and emergency response with limited time and data. This is particularly true as it relates to the underlying soil, rock, and groundwater conditions that directly affect the design and repair of critical infrastructure. Typically, designers and engineers rely on drilling boreholes and performing in-situ tests to characterize subsurface conditions and associated problems for applications ranging from bridges to roadways to stream crossings to landslides. Unfortunately, these exploration techniques are expensive, time-consuming, inherently risky, and often accompanied by significant lead times. Further, the complex nature of this data can be very difficult to interpret and the uncertainty difficult to quantify.

This research project will leverage investments from CLiP, Oregon Department of Transportation (ODOT) SPR786, and SPR808 to improve GOSEP algorithms for predicting subsurface information for planning and emergency response, with a focused aim for extrapolation improvement in rural, data sparse regions. This project also aims to expand the GOSEP database and thereby its capabilities by adding more geotechnical data and parameter datasets as well as by improving the OCR borehole log scanner for archived handwritten borehole logs.]]></description>
      <pubDate>Wed, 08 Jul 2026 17:34:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2726188</guid>
    </item>
    <item>
      <title>Transport Aircraft Crash Dynamics</title>
      <link>https://trid.trb.org/View/2713604</link>
      <description><![CDATA[A review and evaluation of transport airplane accident data for the 1964-1979 period is presented. Included in the results are (1) formulation of candidate crash scenarios, (2) the identification of the involvement of structural systems and subsystems in transport airplane accidents, (3) a review of existing design criteria and philosophy, and (4) conclusions and recommendations for future R&D effort. The accident is organized in relation to pertinent accident types including undershoot, overrun, ground collision, obstacle impact, stall, wheels-up or retracted landing, swerve and gear collapse. Ground-to-ground and air-to-ground crash scenarios are presented. Current state-of-the-art procedures are used in the analysis of a current airplane configuration for selected accident conditions. Available structure and occupant modeling techniques are assessed with regard to transport airplane crash dynamics modeling requirements. The revised U.S. Army Crash Survival Design Guide, as well as other design criteria and previous full-scale crash tests are evaluated with regard to transport airplane applicability. A proposed integrated crash dynamics analysis and test program for transport airplanes is presented along with conclusions and recommendations based on the results of the overall study. Included is a description of an "accident data base" computer program developed in this study.]]></description>
      <pubDate>Tue, 07 Jul 2026 17:29:53 GMT</pubDate>
      <guid>https://trid.trb.org/View/2713604</guid>
    </item>
    <item>
      <title>Discrepancy Report for the Model 1, Package 2, Data Base of the Flight Service Automation System</title>
      <link>https://trid.trb.org/View/2709276</link>
      <description><![CDATA[This document is part of an ongoing effort in the development of a data base for the Flight Service Automation System (FSAS). It identifies missing data, data input, and data collection problems for Model 1, Package 2.]]></description>
      <pubDate>Sat, 20 Jun 2026 17:22:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/2709276</guid>
    </item>
    <item>
      <title>Data Identification Document for the Model 1, Package 2, Data Base of the Flight Service Automation System</title>
      <link>https://trid.trb.org/View/2705992</link>
      <description><![CDATA[This document is part of an ongoing effort in the development of a database for the Flight Service Automation System (FSAS). It identifies the files and data needed to assemble the data base for Model 1, Package 2, requirements as specified by Federal Aviation Administration (FAA)-E-2685.]]></description>
      <pubDate>Sat, 20 Jun 2026 17:22:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/2705992</guid>
    </item>
    <item>
      <title>Data Dictionary for the Model 1, Package 2, Data Base of the Flight Service Automation System</title>
      <link>https://trid.trb.org/View/2709275</link>
      <description><![CDATA[This Data Dictionary provides a complete documentation of the Flight Service Automation System (FSAS) data base for Model 1, Package 2. This Dictionary is intended for use by the sources providing the data input, as well as the contractor who receives the Data Base Team (DBT) assembled output. This Dictionary was developed and is maintained by the Flight Service Station Branch, Systems Simulation and Analysis Division at the Technical Center.]]></description>
      <pubDate>Sat, 20 Jun 2026 17:22:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/2709275</guid>
    </item>
    <item>
      <title>Update Procedures for the Model 1, Package 2, Data Base of the Flight Service Automation System</title>
      <link>https://trid.trb.org/View/2709277</link>
      <description><![CDATA[This document is part of an ongoing effort in the development of a data base for the Flight Service Automation System (FSAS). It identifies the plan by which the Model 1, Package 2, data base will be updated. It also describes the format and sequence that must be followed for automated and nonautomated data updates.]]></description>
      <pubDate>Sat, 20 Jun 2026 17:22:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/2709277</guid>
    </item>
    <item>
      <title>Adaptation Data Logical Characteristics Document for the Model 1, Package 2, Data Base of the Flight Service Automation System</title>
      <link>https://trid.trb.org/View/2709273</link>
      <description><![CDATA[This document is an adaptation guide for the Model 1, Package 2 Data Base of the Automated Flight Service Station System. The intent of this document is to outline the collection and formatting procedures for the adaptation of the Automated Flight Service Station (AFSS) Model 1, Package 2 Data Base. This document is divided into 13 sections; section 2 through section 13 each contain separate files. These files are made up of sets of data, and each set of data contains key characters and data that relate to that file. System adaptation is on a Symbolic Program Tape (SPT) in card format. Since each site identifies some of its own data, the Adaptation Data Logical Characteristics Document will be used as a guide in the preparation and recording of these data.]]></description>
      <pubDate>Sat, 20 Jun 2026 17:22:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/2709273</guid>
    </item>
  </channel>
</rss>