<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>Developing a Safety Management System including Hazardous Materials for Highway-Rail Grade Crossings in Region VII</title>
      <link>https://trid.trb.org/View/2437352</link>
      <description><![CDATA[Highway-rail grade crossings (HRGCs) rank among the leading locations for fatal crashes on the railroad network in the United States, and safety at HRGCs is a top priority for the railroads and the Federal Railroad Administration (FRA). This project studied HRGC safety needs by investigating crash data and HRGC inventory characteristics, and then developed a systematic framework for HRGC safety management in three steps. First, the project started with preparing a comprehensive database that included 1) HRGC crashes with geographic coordinates, 2) HRGC inventory data, 3) highway and train traffic operations data, and 4) HRGC crash-related hazardous materials release data. These data were obtained from the FRA and spanned across the four states in Region VII, i.e., Nebraska, Kansas, Iowa, and Missouri. Second, different accident prediction models for HRGC crash prediction were compared. These models included the accident prediction and severity (APS) model recommended by the FRA and other commonly used crash prediction models such as general linear regression models with fixed or random effects, zero-inflated models, and hurdle models. The APS model was found the best fit for the HRGC data in Region VII area. Therefore, the APS model was calibrated and validated including the index of hazardous materials released and its impact on the surrounding areas resulting from HRGC crashes. A risk score model was developed to rank the HRGCs. Finally, a prototype HRGC Safety Management System (SMS) was developed. The prototype underwent testing utilizing crash data from Nebraska and was initially implemented specifically for the state of Nebraska. The prototype SMS structure was designed so that it could be adopted by state Departments of Transportation (DOTs) in Region VII and across the United States. This project benefits the quality of information provided to decision-makers and enhances the statewide safety management of HRGCs. In particular, the development of this SMS can assist HRGC managers in being proactive to safety and risk situations at HRGCs.]]></description>
      <pubDate>Mon, 07 Oct 2024 08:38:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/2437352</guid>
    </item>
    <item>
      <title>Nebraska Rail Crossing Safety Research</title>
      <link>https://trid.trb.org/View/1763217</link>
      <description><![CDATA[The research objectives of this project were to update Nebraska Department of Transportation (NDOT) 1999 Nebraska Accident Prediction Model for Highway-Rail Grade Crossings (HRGCs) and to develop guidelines using Lancaster County Nebraska HRGCs for improving safety at urban gated HRGCs that are not designated quiet zones but are in the vicinity of quiet zone crossings. FRA crash and HRGC inventory data were utilized for estimation of the new model after inventory information on 742 HRGCs was updated. HRGC crashes for 2008-2018 period were used for model estimation while 2019 HRGC crashes were used for model prediction validation. After consideration of several different model formulations, a Poisson regression model with scaled parameters was selected as the 2020 Nebraska HRGC Crash Prediction Model. Lancaster County HRGCs consistency assessment was performed using Federal Railroad Administration’s (FRA) Quiet Zone Calculator to analyze gated non-quiet zone HRGCs that are in proximity of designated quiet zone HRGCs. The general guidance on achieving a more consistent driving experience at such HRGCs is to consider the use of Supplemental Safety Measures including the use of mountable medians with reflective traffic channelization devices (vertical panels or tubular delineators) or non-traversable curb medians with or without channelization devices at non-quiet zone gated HRGCs that are in proximity of established quiet zones. A complete update of the statewide HRGC inventory is recommended to remove errors and missing values from the existing database.]]></description>
      <pubDate>Wed, 27 Jan 2021 10:10:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/1763217</guid>
    </item>
    <item>
      <title>Updating Annual Average Daily Traffic Estimates at Highway-Rail Grade Crossings with Geographically Weighted Poisson Regression</title>
      <link>https://trid.trb.org/View/1597418</link>
      <description><![CDATA[Highway-rail grade crossings (HRGCs) are unique nodes in the transportation system that facilitate the movement of rail and highway traffic. Various mathematical models are available that provide safety assessments of HRGCs. A chief ingredient of these models is the annual average daily traffic (AADT). One of the main sources of data for such models is the Federal Railroad Administration (FRA)’s Grade Crossing Inventory. A substantial portion of the AADT data in the inventory is outdated. This paper investigates the effects of using out-of-date rather than up-to-date AADT values, using two safety assessment models to isolate the differences. Results show that the use of out-of-date AADT data generates biased rankings of HRGCs based on safety considerations. Since collection of AADT data is resource-intense, a methodology based on a geographic information system for estimating updated AADT is presented. This methodology utilizes limited traffic counts that are supplemented with additional publicly available data. An application using a geographically weighted Poisson regression model for 14 HRGCs gave results that closely matched AADT values based on 2018 field traffic counts at those HRGCs. This method provides an alternative to costly field-data-based updating of AADT in the relatively extensive Grade Crossing Inventory database. Limitations of the research and suggestions for future research complete this paper.]]></description>
      <pubDate>Tue, 21 May 2019 11:17:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/1597418</guid>
    </item>
  </channel>
</rss>