<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>Dynamic response of suction bucket jacket foundation for a wind turbine under storm environments</title>
      <link>https://trid.trb.org/View/2637920</link>
      <description><![CDATA[To investigate the dynamic response of the SBJ-supported OWTs located in sandy soil under storm environments, a series of model tests and numerical analyses were carried out where three loading levels and three loading modes were considered. The model test results indicate that the maximum horizontal displacement of OWTs increases significantly with structure height and typhoon intensity. The wind load caused the main displacement and vibration of the structure, and wave loads exert a rather complex effect on the wind-induced vibration under the coupled loads. For the foundation, the vertical displacements and soil pressures of the front bucket are always larger than those of the rear buckets, the former is mainly excited by wind loads, while the later is mainly induced by wave loads. The numerical simulation showed that the plastic soil strain range near the front bucket bottom is greater than the rear bucket under the wind load, and it is similar under the wave load. The resistance of SBJ foundation is mainly provided by the soil around the front bucket. The vertical positions of the rotation center gradually upward with the increase of typhoon intensity, and the horizontal position is nearly unchanged.]]></description>
      <pubDate>Tue, 10 Mar 2026 09:55:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/2637920</guid>
    </item>
    <item>
      <title>Bi-objective robust optimisation approach for the management of reliable emergency logistics with uncertain disruptions during a rainstorm</title>
      <link>https://trid.trb.org/View/2633376</link>
      <description><![CDATA[A reliable emergency logistics system is crucial for the urban safety and public security during a rainstorm disaster. However, the impact of uncertain issues and the mitigation of psychological risks have not been well studied in the existing works. We develop a scenario-based robust optimisation approach for the emergency logistics management under uncertain disruptions. A bi-objective model, minimising total risk and cost, is formulated to decide facility locations and route plans for emergency rescue, transfer as well as materials’ transportation. The scenarios for random disruption with partial and full degrees in nodes and edges are addressed with probabilities. A psychological risk assessment model is developed to estimate the panic degree of trapped people as time varies. The complexity of the resulting mathematical model motivated the adaption and comparison of four multi-objective methods. A real-life problem in Jinzhong, China, and several tests are conducted to provide managerial insights.]]></description>
      <pubDate>Wed, 25 Feb 2026 17:00:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2633376</guid>
    </item>
    <item>
      <title>Assessing Pavement Vulnerability to Flooding through Interdependencies in Road and Stormwater Networks</title>
      <link>https://trid.trb.org/View/2562081</link>
      <description><![CDATA[Transportation infrastructure systems critically interact with other physical systems to ensure regular functioning and operations supporting safe, multimodal mobility for people and goods. For example, locations at which stormwater networks intersect with roads and bridges may be subject to frequent flooding. Understanding interdependencies and assessing their impact is essential to enhance serviceability, i.e., performance and resilience of transportation systems. This study explores the geographic interdependencies between stormwater and road networks to assess pavement vulnerability by integrating hydrological modeling and network science theories. To capture the dynamics of flood propagation, the study used a contagion model adapted from epidemiology to identify the critical pavements vulnerable to frequent flooding. Specifically, a multi-layer network comprising roads and stormwater systems was constructed for the City of Norman, Oklahoma. Hydrological simulations were conducted under a rain-on-grid scenario for a 24-h precipitation event. Finally, a Pavement Vulnerability Index (PVI) is developed based on the combined network’s topological credentials (i.e., the relative importance of different road segments) and exposure to flooding depths. The results show that at the peak rainfall event, the pavements were subjected to a flooding peak, with 1.5% of the total segments being affected, equivalent to a 38% loss of functionality. The results emphasize the importance of integrating the current framework into pavement maintenance and strategic planning to improve the resilience of transportation networks to extreme weather events. The proposed framework effectively evaluates pavement vulnerability, supporting improved resilience planning.]]></description>
      <pubDate>Tue, 27 Jan 2026 16:16:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/2562081</guid>
    </item>
    <item>
      <title>Phosphorus Removal Capacity, Arsenic Leaching, and PFAS Content of Drinking Water Treatment Residuals with Potential to Enhance Stormwater Infrastructure in New England</title>
      <link>https://trid.trb.org/View/2642979</link>
      <description><![CDATA[Stormwater runoff is a significant contributor of phosphorus (P) loading to waterbodies around the world. Green stormwater infrastructure (GSI) that uses filtration media, such as bioretention, can effectively retain suspended solids and associated particulate P, but is commonly less effective for soluble P retention. The addition of aluminum-based drinking water treatment residuals (DWTRs) may increase P-sorbing capacity of GSI media, though guidance is needed for material selection and to reduce risk of potential contamination. This study examined the P removal capacities of DWTRs (n=11) from drinking water treatment plants in the New England region (northeastern USA). DWTRs were compared for P-sorption potential using batch isotherm and column experiments and characterized for several material properties as well as arsenic leaching and per and polyfluoroalkyl substances (PFAS) content. Results indicate that P retention capacity of DWTRs is generally high (>1,000  mg  P  kg−1) but varies by approximately one order of magnitude. Lower DWTR bulk density and greater oxalate-extractable Al + Fe were correlated with greater P retention in column experiments. Our findings also indicate that the potential for significant arsenic leaching is low. PFAS were detected in 36% of DWTRs, often at low levels near the method detection limit, with three DWTRs having higher levels of certain PFAS. The addition of DWTRs to GSI is promising for enhanced soluble P removal on a decadal scale (10–90 years), but additional research on As, PFAS, and other contaminants should be pursued prior to use, especially in areas with known or suspected source water contamination. Achieving effective long-term P removal requires selecting DWTRs with favorable material properties (e.g., drier, lower bulk density, greater oxalate-extractable Al + Fe), and mixture with sand at up to 10% DWTR by volume and potentially higher if proven to not impede hydraulic conductivity. Field monitoring of DWTR-enhanced infrastructure at multiple time points postinstallation (e.g., years 1, 5, 10, 20, and 30) is needed to confirm P removal longevity over expected infrastructure lifespans.]]></description>
      <pubDate>Tue, 27 Jan 2026 16:16:12 GMT</pubDate>
      <guid>https://trid.trb.org/View/2642979</guid>
    </item>
    <item>
      <title>Developing Snow Performance Measures for Public Information</title>
      <link>https://trid.trb.org/View/2643432</link>
      <description><![CDATA[This research examines public satisfaction with winter road maintenance (WRM) and transportation behaviors during snow events in Utah, with the goal of informing more transparent, responsive, and data-driven strategies and public communication. A detailed online survey of 568 residents across six distinct geographic zones captured public perceptions following two major winter storms in 2024. Survey responses were integrated with data from Utah Department of Transportation's (UDOT’s) Road Weather Information System (RWIS) to analyze how subjective experiences aligned with objective storm metrics. Findings from ordered and binary logit models reveal that satisfaction with WRM is not strongly influenced by perceived snowfall or storm intensity, but rather by personal and household factors. Satisfaction tended to be higher among younger-to-middle-aged adults, men, students, non-workers, and those in middle-income households. Travel behavior was shaped by both demographic factors and storm timing, with most respondents opting for personal vehicles—highlighting the continued importance of reliable road maintenance. Active and public transportation modes were used infrequently, often constrained by environmental conditions and infrastructure access. Importantly, perceived storm severity largely aligned with RWIS data, validating the public’s awareness and reinforcing the value of integrating public sentiment into WRM evaluation dashboards. Also, people were most satisfied with WRM by UDOT and on major roads and highways; the facilities that were also prioritized by respondents. This study offers actionable recommendations to UDOT, including prioritizing critical areas, coordinating with other agencies, integrating advanced technologies, and continuing to enhance communications and public feedback mechanisms to reflect both lived experiences and operational effectiveness.]]></description>
      <pubDate>Tue, 20 Jan 2026 10:11:06 GMT</pubDate>
      <guid>https://trid.trb.org/View/2643432</guid>
    </item>
    <item>
      <title>Enhancing Chain-Up Infrastructure and Compliance in Utah's Mountain Corridors: A Data-Driven Evaluation</title>
      <link>https://trid.trb.org/View/2655751</link>
      <description><![CDATA[This project evaluates chain-up infrastructure and traction-device compliance in Utah's mountain corridors, focusing on how roadway geometry, winter operations, and driver behavior affect chain-up performance during storm events. Using geospatial analysis, operational data, and field-informed insights, the study identifies locations where existing chain-up facilities may be undersized, poorly situated, or constrained by topography. The project also develops artificial intelligence (AI)-generated videos that explain operational challenges, noncompliance impacts, and potential improvement strategies to both practitioners and the traveling public. Project findings will inform infrastructure upgrades, policy refinements, and improved communication practices, with methods and products readily transferable to mountain corridors in other western states.]]></description>
      <pubDate>Mon, 19 Jan 2026 17:04:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2655751</guid>
    </item>
    <item>
      <title>Reinforcement Mechanism of Articulating Concrete Mats (ACMs) and Geosynthetic Fabric for the Design of Highway Embankment in Coastal Louisiana </title>
      <link>https://trid.trb.org/View/2646938</link>
      <description><![CDATA[Coastal highway embankments differ significantly from conventional highway embankments or levees due to their exposure to hurricanes and tropical storms. These events generate substantial hydrodynamic wave pressures that must be considered in design. Reinforcing soil fills at different elevations with geosynthetics is a common approach, but doing so effectively requires research that enhances existing design methods and clarifies their underlying rationale. Design elements such as tensile forces, reinforcement length, and vertical spacing depend on understanding the mechanical behavior of these materials under extreme loading.  

Because coastal embankments are subjected to wave pressures from storms with defined return periods, engineers must account for the maximum hydrodynamic loads these storms generate. In particular, the unique reinforcement roles of geosynthetics and articulating concrete mats (ACMs) must be thoroughly understood to optimize the design. Key factors include ACM layer thickness, the number and arrangement of non-woven geotextile separator layers, and failure modes such as tensile rupture and pull-out resistance in geogrids and woven geotextiles.  

Building on the results from Southern Plains Transportation Center (SPTC)-funded Cycles 1 and 2, this project will use experimental and numerical methods to evaluate the behavior of geosynthetic reinforcements placed at various elevations within embankment fills. Emphasis will be placed on understanding how these materials fail under load and how their performance changes with elevation and storm intensity. In addition to continuing the work from earlier phases, this project will also assess the seepage-reduction capabilities of non-woven geotextiles and the surface stabilization benefits of ACMs applied to embankment slopes.  

Large-scale direct shear testing will be conducted to analyze both tensile rupture and pull-out failure mechanisms in conditions representative of coastal environments. Seepage and slope stability analyses will complement this testing to evaluate the combined performance of ACMs and geotextile separators under storm loading.  

The findings from this research will help validate and refine current design guidelines for coastal highway embankments that incorporate geosynthetics and ACM armor. The study will also contribute to a deeper understanding of conventional geosynthetic failure mechanisms in coastal applications. Ultimately, the research will yield practical, implementable steps for assessing both internal and external stability in coastal embankment design.  ]]></description>
      <pubDate>Mon, 05 Jan 2026 22:35:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/2646938</guid>
    </item>
    <item>
      <title>Determination of safe speeds for a coach travelling on a floating bridge</title>
      <link>https://trid.trb.org/View/2630649</link>
      <description><![CDATA[Coastal highway route E39 is immense road project in Norway with the aim to shorten the journey time between the south part (Kristiansand city) and the north part of the country (Trondheim city). Different high-tech structures will make E39 route continuous and reduce the travel time from currently 21 h to 11 h. A floating bridge has been considered for Bjørnafjorden. This paper suggests bus safe speeds for travel on a floating bridge exposed to 10 different storm conditions (W1–W10). The results show that the coach does not stray from the traffic lane under mild storm conditions (W1–W2) even for the highest vehicle speed of 108 km/h. However, at a speed of 90 km/h for W6 and W7 and at a speed of 72 km/h for W8, the vehicle severely and often departures the traffic lane. At 36 km/h, 54 km/h and 72 km/h for strong storms (W9–W10), the windward rear wheel of the bus frequently loses contact with the floating bridge deck.]]></description>
      <pubDate>Mon, 29 Dec 2025 09:35:56 GMT</pubDate>
      <guid>https://trid.trb.org/View/2630649</guid>
    </item>
    <item>
      <title>Coastal storm-induced flooding risk of the New York City subway amid climate change</title>
      <link>https://trid.trb.org/View/2611318</link>
      <description><![CDATA[Coastal areas face worsening storm-induced flooding due to climate change, threatening critical below-ground infrastructure like subway systems, as seen from Hurricane Sandy’s catastrophic impact on New York City (NYC)’s subway system in 2012. Stakeholders must urgently address these risks to protect infrastructure and assets. Simulating future flood scenarios is crucial for estimating flood risk and damage efficiently and for identifying reliable and effective protective measures. This article uses the GIS-based Subdivision-Redistribution (GISSR) methodology, a high-speed, physics-based flood estimation tool, that is now extended to model subway system flooding and associated economic impacts. It identifies flooded tunnels and stations and quantifies indirect economic losses from subway inoperability using an input–output model. The model is validated against observed subway flooding during Hurricane Sandy. Each analysis, covering both above- and below-ground flooding in Lower Manhattan, takes less than 90 s on a single 4-core Intel Core i7-13620H CPU machine. Scenario analyses were conducted with NYC stakeholders, incorporating sea level rise projections and various protective measures. Results, benchmarked against NYC’s ongoing resiliency projects, demonstrate the effectiveness of adaptation/protective strategies, particularly when subway system-specific and coastal measures are combined, highlighting the model’s value as a practical guide for stakeholders.]]></description>
      <pubDate>Tue, 28 Oct 2025 13:42:26 GMT</pubDate>
      <guid>https://trid.trb.org/View/2611318</guid>
    </item>
    <item>
      <title>Dust Storm Detection and Notification System: Phase 1 (Needs and Equipment Assessment) and Phase 2 (Equipment Procurement)</title>
      <link>https://trid.trb.org/View/2582921</link>
      <description><![CDATA[Periodic dust storms in the southwestern region of New Mexico present significant safety hazards to motorists. The associated direct and indirect costs are significant. This project identified the need to continuously detect dust storms and deployed an automated system that will notify motorists of limited visibility conditions, direct motorists how to respond, notify the appropriate authorities, and that is capable of being incorporated into the appropriate New Mexico Department of Transportation (NMDOT) District’s existing incident management plan. In Phase I of the project, a needs assessment and equipment survey was performed. The assessment included evaluation of available equipment, appraisal of typical financial and operational requirements of dust storm detection and notification systems, and assessment of associated equipment-specific costs and system performance expectations. The Roadside Weather Information System (RWIS) was selected as the key equipment for dust storm detection. In Phase II, two RWIS stations were purchased and installed: One at MP11 and the other at MP12 on the I-10 New Mexico section. It is recommended that Phase III carry out a two-year, long-term system monitoring and evaluation test. Phase III will verify the performance of the equipment, especially during the dust storm seasons. Optimal ways to maintain and use the equipment and the impact of the dust storm detection system on traffic safety should also be evaluated.]]></description>
      <pubDate>Tue, 21 Oct 2025 11:36:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/2582921</guid>
    </item>
    <item>
      <title>A study on the optimal safety speed and warning sign distance for highways in windy and sandy environments based on driving behavior</title>
      <link>https://trid.trb.org/View/2582055</link>
      <description><![CDATA[This study aims to address the issue of driving safety on highways in the desert region of Northwest China during extreme weather conditions such as sandstorms, with the goal of reducing driver risk. It explores driver behavior under extreme conditions of sandstorms and sand accumulation, proposing safety speed recommendations and warning models for different environments to calculate the optimal warning distance in windy and sandy conditions. Natural driving simulation experiments were conducted in windy and sandy environments, collecting driving behavior data from 45 drivers under varying visibility and road conditions with or without sand accumulation. This data were utilized to determine safe speeds before and after deceleration, as well as before and after lane changes. Warning models were established for both sandstorm and sand accumulation conditions. Driving stages in sandy environments were classified into normal driving, deceleration and low-speed stable driving phases. In sandstorm-sand accumulation environments, the stages included driving, lane changing and low-speed stable driving after lane changes. The recommended post-deceleration speeds for visibility levels of 2000, 500, 300, 150, 100 and 50 m were 120 km/h, 90 km/h, 70 km/h, 60 km/h, 50 km/h and 40 km/h, respectively. The recommended speeds after lane changes in sand-accumulated areas were 90 km/h, 80 km/h, 60 km/h, 60 km/h, 50 km/h and 40 km/h. The optimal warning distance for highways in windy and sandy environments was calculated to be 1100 m. The recommended safe speeds under different visibility conditions in sandstorms and sand accumulation environments are important references for future regulations. The suggested warning distance for highway signs is 1100 m, which can effectively ensure driving safety and reduce accident risks.]]></description>
      <pubDate>Mon, 20 Oct 2025 09:36:20 GMT</pubDate>
      <guid>https://trid.trb.org/View/2582055</guid>
    </item>
    <item>
      <title>Investigating temporal trends in risk factors related to injury severity of crashes with pedestrians in urban areas</title>
      <link>https://trid.trb.org/View/2582054</link>
      <description><![CDATA[This study aims to address the issue of driving safety on highways in the desert region of Northwest China during extreme weather conditions such as sandstorms, with the goal of reducing driver risk. It explores driver behavior under extreme conditions of sandstorms and sand accumulation, proposing safety speed recommendations and warning models for different environments to calculate the optimal warning distance in windy and sandy conditions. Natural driving simulation experiments were conducted in windy and sandy environments, collecting driving behavior data from 45 drivers under varying visibility and road conditions with or without sand accumulation. This data were utilized to determine safe speeds before and after deceleration, as well as before and after lane changes. Warning models were established for both sandstorm and sand accumulation conditions. Driving stages in sandy environments were classified into normal driving, deceleration and low-speed stable driving phases. In sandstorm-sand accumulation environments, the stages included driving, lane changing and low-speed stable driving after lane changes. The recommended post-deceleration speeds for visibility levels of 2000, 500, 300, 150, 100 and 50 m were 120 km/h, 90 km/h, 70 km/h, 60 km/h, 50 km/h and 40 km/h, respectively. The recommended speeds after lane changes in sand-accumulated areas were 90 km/h, 80 km/h, 60 km/h, 60 km/h, 50 km/h and 40 km/h. The optimal warning distance for highways in windy and sandy environments was calculated to be 1100 m. The recommended safe speeds under different visibility conditions in sandstorms and sand accumulation environments are important references for future regulations. The suggested warning distance for highway signs is 1100 m, which can effectively ensure driving safety and reduce accident risks.]]></description>
      <pubDate>Fri, 19 Sep 2025 16:58:28 GMT</pubDate>
      <guid>https://trid.trb.org/View/2582054</guid>
    </item>
    <item>
      <title>Statistical Characteristics of Storm Interevent Time, Depth, and Duration for Eastern New Mexico, Oklahoma, and Texas</title>
      <link>https://trid.trb.org/View/2570811</link>
      <description><![CDATA[The design of small runoff-control structures, from simple floodwater-detention basins to sophisticated best-management practices, requires the statistical characterization of rainfall as a basis for cost-effective, risk-mitigated, hydrologic engineering design. The U.S. Geological Survey, in cooperation with the Texas Department of Transportation, has developed a framework to estimate storm statistics including storm interevent times, distributions of storm depths, and distributions of storm durations for eastern New Mexico, Oklahoma, and Texas. The analysis is based on hourly rainfall recorded by the National Weather Service. The database contains more than 155 million hourly values from 774 stations in the study area. Seven sets of maps depicting ranges of mean storm interevent time, mean storm depth, and mean storm duration, by county, as well as tables listing each of those statistics, by county, were developed. The mean storm interevent time is used in probabilistic models to assess the frequency distribution of storms. The Poisson distribution is suggested to model the distribution of storm occurrence, and the exponential distribution is suggested to model the distribution of storm interevent times. The four-parameter kappa distribution is judged as an appropriate distribution for modeling the distribution of both storm depth and storm duration. Preference for the kappa distribution is based on interpretation of L-moment diagrams. Parameter estimates for the kappa distributions are provided. Separate dimensionless frequency curves for storm depth and duration are defined for eastern New Mexico, Oklahoma, and Texas. Dimension is restored by multiplying curve ordinates by the mean storm depth or mean storm duration to produce quantile functions of storm depth and duration. Minimum interevent time and location have slight influence on the scale and shape of the dimensionless frequency curves. Ten example problems and solutions to possible applications are provided.]]></description>
      <pubDate>Mon, 01 Sep 2025 16:31:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/2570811</guid>
    </item>
    <item>
      <title>Modeling urban transportation safety resilience under extreme rainstorms: A catastrophe theory approach</title>
      <link>https://trid.trb.org/View/2560003</link>
      <description><![CDATA[Extreme rainstorm disasters severely affect urban transportation safety. To scientifically assess urban transportation safety resilience (UTSR) and its evolutionary process under extreme rainstorm disasters, this study proposes a novel assessment method by modeling the UTSR using the catastrophe theory approach. First, a safety framework for the urban transportation system is constructed, and catastrophe theory is applied to analyze catastrophic effects on the system. Second, factors affecting UTSR are identified, and their relationships are analyzed using a stock and flow model. Finally, the effectiveness of the UTSR dynamic simulation model is analyzed using the case study of an extreme rainstorm event in Xi'an, China. The results reveal that increasing the investment levels of government regulation effort (GRE), information synergy degree (ISD), and municipal drainage effectiveness (MDE) leads to modeled increases in UTSR levels by 59.44%, 50.18%, and 16.79%, respectively. The results demonstrate that strengthening GRE and ISD significantly enhances UTSR, while MDE has a relatively minor impact. This study contributes a new theoretical perspective and practical modeling tool for capturing abrupt resilience transitions, offering detailed management strategies for enhancing UTSR when facing extreme rainstorms.]]></description>
      <pubDate>Fri, 18 Jul 2025 15:10:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/2560003</guid>
    </item>
    <item>
      <title>Shemya Island: Surviving the Storm—Rebuilding for the Future</title>
      <link>https://trid.trb.org/View/2559469</link>
      <description><![CDATA[In the fall of 2022, a team of marine engineering and construction experts embarked on a journey to confront a daunting task in the far reaches of Alaska’s Aleutian Island Chain in the Western Bering Sea. A sequence of severe storms had recently dealt with a devastating blow to a waterfront facility that is critical to the US military and the public. The severe storms overtopped the 77-year-old Fuel Pier facility with 30- to 40-ft waves causing extensive structural damage and leaving it vulnerable. The overall mission objective was simple: keep the structure standing; however, the path to achieving this goal was obstructed by a dense fog of unknowns, obstacles, and constraints, including enormous environmental loading demands, long-distance open ocean logistics, Munitions of Explosive Concern (MEC), limited weather windows, and a persistently relentless work environment. The engineering design process led to an effective engineering solution that was not initially anticipated. This paper presents the extreme design-build efforts that ensued under a USACE contract for the US Air Force to develop long-term repairs for the Eareckson Air Station Fuel Pier in Shemya, Alaska.]]></description>
      <pubDate>Mon, 23 Jun 2025 15:53:35 GMT</pubDate>
      <guid>https://trid.trb.org/View/2559469</guid>
    </item>
  </channel>
</rss>