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    <title>Transport Research International Documentation (TRID)</title>
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    <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>
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      <title>Transport Research International Documentation (TRID)</title>
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      <link>https://trid.trb.org/</link>
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    <item>
      <title>CROSPLAN [supporting dataset]</title>
      <link>https://trid.trb.org/View/2727282</link>
      <description><![CDATA[The purpose of CROSPLAN is to support wildlife and wildlife crossing projects. The tool gives transportation planners a way to jump-start their project by providing a set of core data they need to make decisions during the project, and ultimately help them design and build wildlife crossing structures and fencing. By simply selecting your study region on a map, this tool will provide a set of data that would be useful in determining the species present in the region, the landscape and land cover characteristics, the distance to various important land class features (such as distance to nearest stream), as well as light and sound estimates across study area. CROSPLAN works in California based on the available data present and loaded into the system. Datasets available through CROSPLAN include: (1) Datasets of modeled noise associated with state highways (2026) and (2) Datasets of modeled illumination associated with state highways (2026).]]></description>
      <pubDate>Tue, 14 Jul 2026 13:34:59 GMT</pubDate>
      <guid>https://trid.trb.org/View/2727282</guid>
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    <item>
      <title>Modeling Traffic Noise and Light on Natural Landscapes at the State Scale</title>
      <link>https://trid.trb.org/View/2727281</link>
      <description><![CDATA[Anthropogenic noise and light have been shown to impact wildlife behavior, distribution, movement, and population fitness and survival. Traffic noise and light can inhibit wildlife use of areas adjacent to roads, impair wildlife perception of traffic risks, and cause a barrier effect to wildlife occurrence and movement well beyond road edges. A critical action being taken by states to repair wildlife movement across roadways is construction of wildlife crossings, theoretically providing a safe passage across roads. Planning the location of theses crossings and to some degree their design currently does not take into account traffic noise and light impacts on wildlife approaching the structures. The authors developed statewide models of traffic noise and light intrusion into areas adjacent to state highways to aid understanding of wildlife responses to noise and light and to aid locating and designing crossings to maximize wildlife approach and use. These models have the added benefit of estimating traffic impacts as part of environmental analysis associated with delivering transportation projects. The authors used the NoiseModeling software in QGIS and novel light-modeling tools developed in ArcGIS to model the “noise-scape” and “light-scape” at high-resolution around California state highways. They used different putative sources of traffic noise and light and model propagation (depending on traffic volumes) of both across adjacent landscapes out to at least 1 kilometer. The authors tested the models in the field using transects of noise and light measurements. The outputs were digital (raster) maps that showed the high and low impact areas.]]></description>
      <pubDate>Tue, 14 Jul 2026 13:34:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2727281</guid>
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      <title>Field Evaluation of Lightweight Noise Barriers and Development of Noise Barrier Inspection and Asset Management Program</title>
      <link>https://trid.trb.org/View/2721756</link>
      <description><![CDATA[Noise barriers along high-volume roads reduce traffic noise using either normal-weight materials, such as concrete or brick, or lightweight materials, such as metal, composites, fiberglass, or acrylic. Although the Virginia Department of Transportation’s (VDOT) current concrete noise barriers have proven durable, some lightweight metal noise barriers have failed prematurely because of corrosion, prompting the need to better understand the field performance of lightweight alternatives. This project aimed to improve the life-cycle management of VDOT’s noise barrier inventory through field evaluations of lightweight barriers, development of an inspection and asset management framework, and unmanned aerial system (UAS) trial inspections. The literature review revealed that a few state departments of transportation have noise barrier inspection or asset management programs, typically including condition ratings, deterioration models, budgets, and performance targets. A review of noise barrier databases revealed inconsistencies in field names and wall identification numbers, highlighting the need for a single authoritative dataset. Condition data indicated that most concrete and brick noise barriers were in acceptable condition, whereas more lightweight noise barriers required attention. Field evaluations of 25 lightweight noise barriers of different material and design types found that perforated metal panels oriented horizontally performed the worst, with estimated service lives of only 10 to 15 years. Other lightweight types generally performed well, with estimated service lives of 50 years or more. Anchor bolts were vulnerable to corrosion, especially when exposed to salt spray. Based on these findings, a proposed inspection program includes overall condition and element-level ratings of five element types and their associated defect types. Proposed inspection intervals range from 24 to 72 months based on mounting type, ability to fall onto traffic or pedestrians, and overall condition rating. The proposed asset management plan incorporates deterioration models, treatment types, and estimated costs. A Markov chain analysis over a 20-year period showed that an $11 million asset management program could maintain VDOT’s noise barrier inventory below a 10% poor-condition performance target, yielding a 23% return on investment and saving $2.5 million annually. UAS trial inspections of three noise barriers demonstrated that high-resolution photogrammetry and LiDAR can effectively assess the condition and detect misalignments of noise barriers from both sides. LiDAR was effective even for noise barriers with highly vegetated areas. UASs also showed potential for inspecting other VDOT assets. Recommendations from the project include VDOT prohibiting the use of perforated metal panels oriented horizontally, establishing a single authoritative noise barrier database, implementing a noise barrier inspection and asset management program, pursuing future research on asset inspections using UASs, and working across divisions on geospatial workflows and data governance. Supplemental materials can be found at https://library.vdot.virginia.gov/vtrc/supplements.]]></description>
      <pubDate>Mon, 13 Jul 2026 08:51:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2721756</guid>
    </item>
    <item>
      <title>Monitoring of Acoustic Performance of Noise Barriers Along Roads in Ireland</title>
      <link>https://trid.trb.org/View/2580113</link>
      <description><![CDATA[Noise barriers are an integral part of noise abatement measures for road and rail traffic noise. To assess the quality of installed noise barriers in-situ, two standardized methods are used, which assess the intrinsic characteristics of sound reflection (EN 1793-5) and airborne sound insulation (EN 1793-6) under direct sound field conditions on roads. In a long running monitoring project funded by TII (Transport Infrastructure Ireland), over 120 noise barrier measurements have been performed in Ireland in the last 5 years. All noise barriers are timber noise barriers and are categorized as reflective and absorptive. The overall performance of typical Irish noise barriers is shown, based on the datasets available. Due to the local climate, not all measurements could be performed with the noise barrier in a dry condition. In the comparison of the results, the measured moisture content of the noise barrier is explicitly analysed and the effect of the intrinsic characteristics of sound reflection and airborne sound insulation under direct sound field conditions is shown. Finally, the obtained results are compared to the typical performance of European noise barriers obtained from the SOPRANOISE project.]]></description>
      <pubDate>Tue, 30 Jun 2026 09:45:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2580113</guid>
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    <item>
      <title>A Contribution to the Probabilistic Road Noise Simulation Using Non-Parametric Variability Modeling Abstract</title>
      <link>https://trid.trb.org/View/2717276</link>
      <description><![CDATA[An application of a Non-Parametric Variability Modeling (NPVM), as introduced by Pr. Soize, of a full vehicle road noise simulation, is an opportunity to highlight some applicative issues of such a stochastic approach.  First, the convergence of the stochastic computations is considered by introducing the probabilistic modal density of the considered model as an indicator of the system intrinsic dynamic behavior. Since the probabilistic model induces a spread of modal frequencies, the upper range shows a lack of modes, deviating from the actual system modal density.  The study of this deviation leads to the modal truncation criterion required to achieve a relevant probabilistic modal density in a targeted frequency range. The required margin in order to achieve a proper convergence of the probabilistic problems appears larger than expected.   Then, using appropriate parameters, road noise simulation is investigated in the framework of the stochastic modeling. After the capability of the NPVM to handle the random loads requested for road noise, an FRF Based Sub-structuring approach is used to investigate different options for the loads application. Indeed, the complex behavior of the rotating tire/wheel system with the road is often handled by computing (or measuring) blocked forces or interface forces of a source sub-system (chassis) applied to a receiving sub-system (trimmed body). Cases where the receiving subsystems variability only, or both subsystems variability are considered, are investigated. It appears that, when variability applies to the full vehicle, using deterministic blocked forces may lead to erroneous results. When the trimmed body only is subject to uncertainties, deterministic interfaces forces lead to a reasonable approximation of probabilistic results. In both parts, theoretical derivations are illustrated by the results obtained from actual industrial models.]]></description>
      <pubDate>Tue, 30 Jun 2026 08:51:20 GMT</pubDate>
      <guid>https://trid.trb.org/View/2717276</guid>
    </item>
    <item>
      <title>Simplified Development of Vehicle Noise Models for Road-Traffic Noise Prediction</title>
      <link>https://trid.trb.org/View/2684137</link>
      <description><![CDATA[We propose a two-step method to build vehicle sound source models for road-traffic noise prediction. Step 1 identifies a three-component model (tire/road, mechanical, dynamic) from R51-03 pass-by tests. Step 2 eliminates testing by combining regulatory pass-by levels with vehicle specifications, using PMR-based normalization and a regression to estimate time-averaged sound power during urban driving. Across M1, N1 vehicles, Step 2 agreed with Step 1 within 0.5 dB in mean Lw, demonstrating practicality for rapid updates under mixed regulatory cohorts and future fleet shifts.]]></description>
      <pubDate>Tue, 23 Jun 2026 13:53:03 GMT</pubDate>
      <guid>https://trid.trb.org/View/2684137</guid>
    </item>
    <item>
      <title>Diagnostic of Exceedances of Permissible Noise Levels in the Environment</title>
      <link>https://trid.trb.org/View/2694420</link>
      <description><![CDATA[The article analyses the calculation rules for assessing the exceedance of permissible noise levels generated by road transport vehicles, their interpretation and application. Possible limitations and interpretation errors associated with the currently used rules for quantifying exceedances of permissible noise levels in the environment are highlighted. The related application consequences were discussed. Attention was drawn to the advisability of searching for a different methodology for classifying the results of exceedances of permissible noise levels, in relation to the acoustic protection of the environment applicable in practice. It was proposed that the methodology of modeling should be linked to the choice of a metric appropriate for comparisons of decibel numbers in the space of modeling the conditions of their reception by humans. Examples of metrics meeting the new criteria for the analysis of exceedances of permissible noise levels in the environment are provided. The authors, using the example of the analysis of noise monitoring results on one of the main communication arteries of the city of Kielce, presented the functioning of the new idea of classifying exceedances of permissible noise levels. The article presents a verification of the noise threat assessment using the Euclidean measure of exceedances of permissible noise levels, and using a measure that meets the requirements of the metric for the decibel space of human perception of acoustic phenomena. Statistical characteristics of the analyzed measures of exceedances of permissible noise levels are presented.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:14:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2694420</guid>
    </item>
    <item>
      <title>National Transportation Noise Map Documentation: Version 3</title>
      <link>https://trid.trb.org/View/2709440</link>
      <description><![CDATA[By most forecasts, the U.S. population is projected to grow by over 100 million by 2050. As demand for transportation increases and our methods of transportation change and evolve, so too will transportation-related noise. The Bureau of Transportation Statistics (BTS) has started a national, multi- modal transportation noise mapping initiative to facilitate the tracking of trends in transportation- related noise over time. This document describes the methodology and assumptions included in the National Transportation Noise Map (NTNM) which consists of noise inventory layers for aviation, roadway, passenger and freight rail transportation sources. Future versions are envisioned to include additional transportation noise sources as transportation modes and trends evolve and data sources mature.]]></description>
      <pubDate>Thu, 11 Jun 2026 13:20:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/2709440</guid>
    </item>
    <item>
      <title>High temporal resolution dynamic traffic noise modelling via traffic flow stochastic disaggregation</title>
      <link>https://trid.trb.org/View/2709521</link>
      <description><![CDATA[Road traffic noise exposure assessment typically relies on aggregated traffic flow data, which prevents the estimation of high-temporal-resolution noise indicators increasingly recognized as important for health impact studies. To bridge this gap, this research proposes two stochastic disaggregation methods that reconstruct refined vehicle kinematics from aggregated traffic flows, enabling 1-s resolution noise estimation comparable to computationally intensive microscopic traffic modelling chains. Using SUMO microscopic simulation as reference, the disaggregation methods are evaluated in a dense urban area, in Stockholm’s Södermalm Island. The resulting acoustic indicators calculated, including LAeq,1h, LA10,1h, LA1,1h, and LAeq,1s, show estimates comparable to those obtained from the microscopic traffic noise modelling chain. Robustness and sensitivity analyses show that the proposed methods maintain stable performance even with reduced input data granularity. The proposed methods offer a practical intermediate solution between static annual noise maps and detailed microscopic simulations, enabling cost-effective dynamic noise exposure assessment at an urban scale.]]></description>
      <pubDate>Fri, 05 Jun 2026 11:28:36 GMT</pubDate>
      <guid>https://trid.trb.org/View/2709521</guid>
    </item>
    <item>
      <title>Hearing acceleration: Enhancing vehicle sound for earlier detection of acceleration in pedestrians</title>
      <link>https://trid.trb.org/View/2698821</link>
      <description><![CDATA[Acceleration serves as both an implicit cue of a vehicle’s non-yielding intention and a necessary maneuver following a yielding action in autonomous vehicles (AVs). However, vehicle acceleration is difficult for pedestrians to accurately perceive. This study proposed and evaluated an auditory external interface for AVs that enhances the vehicle’s engine sound to facilitate pedestrians’ perception of acceleration. In a virtual reality environment, the authors measured pedestrians’ time delay in detecting vehicle acceleration under four sound conditions: untreated, amplitude-enhanced, frequency-enhanced, and combined amplitude-frequency enhancement. Results indicated that all three enhancement methods could speed up acceleration perception compared to the untreated condition, with amplitude enhancement producing the weakest effect. The combined enhancement proved most effective, offering a slight advantage over frequency enhancement. These findings provide insights into effectively enhancing auditory characteristics that may inform future research on vehicle–pedestrian interaction.]]></description>
      <pubDate>Thu, 28 May 2026 09:03:40 GMT</pubDate>
      <guid>https://trid.trb.org/View/2698821</guid>
    </item>
    <item>
      <title>Exploring the relationship between traffic, speed, and personal in-vehicle noise exposure during commutes</title>
      <link>https://trid.trb.org/View/2694971</link>
      <description><![CDATA[While roadway noise is well-documented, research seldom quantifies the more critical in-vehicle exposure or evaluates the factors that modify it under real-world conditions. This study addresses this gap by investigating how traffic volume and driving speed, two key determinants in transportation planning, influence interior noise levels. Furthermore, the authors evaluate shifting commute times from rush hour to off-peak periods as a potential noise mitigation strategy. The authors collected 1-minute noise and GPS data from 148 vehicle trips taken by 14 participants in Hartford County, US. To evaluate how the departure time of morning commutes to work impacts noise exposure, the authors compared noise levels during a rush-hour commute (6:30–8:30 am) to a non-rush-hour commute for each participant. The median 1-minute noise level was 69.4 dBA (IQR = 65.7–74.1). Nine percent of measurements exceeded 80.0 dBA, the threshold of potential long-term hearing damage. Mixed-effects modeling showed both traffic volume and driving speed were positively associated with interior noise, with IQR increases linked to noise increases of 1.18 dBA and 0.71 dBA, respectively. However, substantial unexplained variability in the model suggests that other factors significantly influence noise levels more. The trip-averaged noise levels did not vary significantly between rush-hour (median = 70.7 dBA) and non-rush hour (median = 72.4 dBA) commutes (p = 0.84). This indicates that shifting commute times may not effectively mitigate overall noise exposure. Instead, strategies targeting overall traffic reduction may be more impactful. By linking vehicle interior noise to traffic characteristics and travel behavior, this study provides an interdisciplinary basis for transportation policies and traffic management reducing the environmental health burdens of commuting.]]></description>
      <pubDate>Tue, 19 May 2026 15:12:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/2694971</guid>
    </item>
    <item>
      <title>Strategic planning of photovoltaic noise barrier-integrated energy stations: A multi-criteria spatial optimization framework for sustainable transport infrastructure</title>
      <link>https://trid.trb.org/View/2698535</link>
      <description><![CDATA[This study proposes a method to apply multi-source data to photovoltaic noise barrier-integrated energy station (PVNB-IES) deployment in cities. We systematically evaluate the supply-demand balance using multi-source spatial data: (1) Supply potential combines building development density, sound insulation requirements and solar radiation distribution maps to quantify photovoltaic generation capacity across road segments; (2) Demand forecasts characterize the built environment, points of interest, population and settlements, and are validated by fusion metrics from field observations and GPS trajectories of 385 road sections. An explainable GW-XGBoost model (test R² = 0.445) identifies residence, population, subway station, house price, and restaurant as key demand determinants; (3) Spatial matching via Voronoi diagrams reveals three supply-demand scenarios: resource-limited stable type (30.3%), high-potential balanced type (30.3%), and demand-dominant solar rich type (39.4%) zones. This data-driven approach advances sustainable urban planning by enabling co-location of noise control infrastructure with optimized renewable energy deployment, offering actionable insights for PVNB-IES site selection and operation strategies.]]></description>
      <pubDate>Fri, 15 May 2026 10:44:35 GMT</pubDate>
      <guid>https://trid.trb.org/View/2698535</guid>
    </item>
    <item>
      <title>Design and validation of novel asphalt concrete mixtures for urban road traffic noise mitigation</title>
      <link>https://trid.trb.org/View/2668847</link>
      <description><![CDATA[Urban noise pollution constitutes an increasingly severe environmental challenge, with traffic noise emerging as a predominant concern. Traditional roadside acoustic barriers obstruct driver sightlines due to their vertical construction, limiting their widespread application in modern urban traffic systems. Consequently, the creation of innovative pavement materials that deliver sustainable noise reduction and enhanced mechanical durability represents a critical priority. This study created an innovative pavement material for urban noise reduction, fabricated through the integration of processed basalt, epoxy resin, and Open-Graded Friction Course (OGFC-13) mixture. Materials produced via this methodology not only ensure extended asphalt pavement service life but also demonstrate effective noise attenuation across primary urban traffic frequency ranges. Moreover, two distinct fabrication methodologies were engineered accounting for implementation in field applications. The regular arrangement (PCA-1) and random arrangement (PCA-2) of asphalt noise-reducing materials provide significant compatibility for engineering applications, greatly facilitate construction, and deliver favorable application results. Research reveal that PCA-1 achieves a 10.97 dB improvement in sound insulation at specific frequencies compared to conventional OGFC-13, while PCA-2 exhibits a 10.8 % increase in average sound absorption coefficient. Consequently, the proposed pavement noise reduction material in paper demonstrates promising application prospects for practical engineering implementation.]]></description>
      <pubDate>Tue, 12 May 2026 09:11:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2668847</guid>
    </item>
    <item>
      <title>Passenger Exposure To Noise At Transit Platforms In Los Angeles</title>
      <link>https://trid.trb.org/View/2696027</link>
      <description><![CDATA[In Los Angeles County, 16 transit stations, on the Green and Gold Light Rail Lines and on the Harbor Transitway, are located in highway medians. Passengers on the platforms of these transit stations are subjected to elevated noise levels produced by cars passing these stations. Exposure to these high sound volumes makes waiting for a bus or train unpleasant at best, and potentially harmful to passengers’ health. This study examines the noise levels at these stations with a goal of finding which stations are the loudest, identifying reasons why noise levels vary at the stations, and suggesting ways to reduce noise levels.]]></description>
      <pubDate>Wed, 06 May 2026 15:22:05 GMT</pubDate>
      <guid>https://trid.trb.org/View/2696027</guid>
    </item>
    <item>
      <title>Experimental Approach to Ground Vibration Mitigation using Dual Barriers-Filled with Different Materials</title>
      <link>https://trid.trb.org/View/2683204</link>
      <description><![CDATA[Experimental investigations were conducted to examine the vibration screening potential of dual-infilled trenches filled with different materials. The vibrations were induced using a mechanical oscillator in a regulated frequency range varying from 20 to 45 Hz, stepped up in 5 Hz. The data was recorded in the absence and presence of dual trenches using uniaxial accelerometers. Different combinations of materials (stiffer and softer) to the surrounding soil, such as aggregate, sand-crumb rubber, and geofoam, were filled in the dual barriers. The findings indicated that the combination of aggregate (stiffer than the surrounding soil) in the first trench and geofoam (softer than the surrounding soil) in the second trench produced the maximum screening efficiency among the studied combinations. The maximum screening efficiency was noted to be 84%. A reduction of up to 16 decibels in the vibrations was noted in the presence of dual-infilled trenches. The study suggested that dual trenches, incorporating aggregate and geofoam, offered an enhanced performance over traditional barriers in mitigating ground vibrations.]]></description>
      <pubDate>Thu, 30 Apr 2026 11:27:53 GMT</pubDate>
      <guid>https://trid.trb.org/View/2683204</guid>
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