<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=PHNlYXJjaD48cGFyYW1zPjxwYXJhbSBuYW1lPSJkYXRlaW4iIHZhbHVlPSJhbGwiIC8+PHBhcmFtIG5hbWU9InN1YmplY3Rsb2dpYyIgdmFsdWU9Im9yIiAvPjxwYXJhbSBuYW1lPSJ0ZXJtc2xvZ2ljIiB2YWx1ZT0ib3IiIC8+PHBhcmFtIG5hbWU9ImxvY2F0aW9uIiB2YWx1ZT0iMCIgLz48L3BhcmFtcz48ZmlsdGVycz48ZmlsdGVyIGZpZWxkPSJpbmRleHRlcm1zIiB2YWx1ZT0iJnF1b3Q7VGhyZWUtZGltZW5zaW9uYWwmcXVvdDsiIG9yaWdpbmFsX3ZhbHVlPSImcXVvdDtUaHJlZS1kaW1lbnNpb25hbCZxdW90OyIgLz48L2ZpbHRlcnM+PHJhbmdlcyAvPjxzb3J0cz48c29ydCBmaWVsZD0icHVibGlzaGVkIiBvcmRlcj0iZGVzYyIgLz48L3NvcnRzPjxwZXJzaXN0cz48cGVyc2lzdCBuYW1lPSJyYW5nZXR5cGUiIHZhbHVlPSJwdWJsaXNoZWRkYXRlIiAvPjwvcGVyc2lzdHM+PC9zZWFyY2g+" 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>Modeling and Optimization of a Share-a-Ride Problem with Flexible Pick-up and Drop-Off Points</title>
      <link>https://trid.trb.org/View/2717483</link>
      <description><![CDATA[A share-a-ride problem (SARP), which integrates the transportation of both passengers and parcels by the ride-hailing platforms such as Uber and Lyft, has drawn considerable attention. This work introduces a novel share-a-ride problem with flexible pick-up and drop-off points (SARP-FUO) with the objectives of maximizing the total revenue of the ride-hailing platforms and minimizing the total travel distance of vehicles. A mixed integer programming model is developed to formulate SARP-FUO. Then, a knowledge-based multi-objective brain storm optimization algorithm (KM-BSO) is proposed to solve it. Two knowledge-based local search operators are specifically designed to enhance the exploration capability of KM-BSO for identifying potential nondominated solutions. The first operator employs a dynamic programming algorithm to readjust pickup and drop-off points, while the second modifies vehicle routes based on four derived properties. Extensive experiments are conducted to compare KM-BSO with nondominated sorting genetic algorithm II, multi-objective evolutionary algorithm based on decomposition, multi-objective artificial bee colony algorithm, and a mathematical programming solver CPLEX. The results and statistical analysis demonstrate the superiority of the proposed approach in solving the studied problem. Finally, a sensitivity analysis is performed with and without flexible pick-up and drop-off points, demonstrating the advantages of the proposed model in developing intelligent public transportation systems.]]></description>
      <pubDate>Wed, 15 Jul 2026 16:27:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2717483</guid>
    </item>
    <item>
      <title>Efficient model updating and optimization for spring-viscous damper bearings in train-induced vibration control of isolated frames</title>
      <link>https://trid.trb.org/View/2688702</link>
      <description><![CDATA[This study presents an integrated framework for predicting metro-induced vibrations in base-isolated frame structures and optimizing the design of isolation bearings. A two-dimensional mathematical model is developed for a frame structure isolated by bearings that combine elastic springs with viscous dampers. The model employs a fractional-derivative Maxwell formulation to capture the broad-frequency dynamic characteristics of the bearings. Compared to the finite element method, the proposed model achieves significantly higher computational efficiency while maintaining high predictive accuracy, thereby providing a reliable foundation for subsequent model updating and optimization. A decoupled model-updating scheme based on the NSGA-II algorithm is introduced, which robustly identifies key system parameters and exhibits strong resilience to measurement noise. Field tests conducted on a single-bay, two-storey reinforced concrete frame structure experimentally validate the effectiveness and practicality of the proposed framework. Furthermore, the design of bearing parameters is formulated as a multi-objective optimization problem that simultaneously addresses low-frequency transmissibility, high-frequency transmissibility, and static bearing displacement. Through multi-objective optimization, the isolated frame achieved 8–22 dB greater attenuation in the high-frequency range compared to the original bearing design. In addition, static displacement was reduced by 51.4% relative to a bearing design optimized solely for high-frequency vibration control. This research provides essential technical support for the application of isolation bearings, thereby contributing to improved vibration comfort in buildings located near metro lines.]]></description>
      <pubDate>Wed, 15 Jul 2026 09:23:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2688702</guid>
    </item>
    <item>
      <title>Mathematical Modeling of Vehicle Impact Against a Rigid Barrier</title>
      <link>https://trid.trb.org/View/2581405</link>
      <description><![CDATA[This paper presents a series of mathematical models from the reference ones, up to the concept model developed based on them. The presented mathematical models study the frontal collision between the vehicle and a rigid barrier. The developed model simulates the movement of the occupant during the frontal impact. After obtaining the equations of motion, the graphs of the kinematic parameters (velocity and acceleration) are displayed in MATLAB SIMULINK.]]></description>
      <pubDate>Mon, 13 Jul 2026 10:46:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2581405</guid>
    </item>
    <item>
      <title>Aspects of the Design of an Additively Manufactured Cylinder Head for a Stationary Hydrogen ICE</title>
      <link>https://trid.trb.org/View/2579390</link>
      <description><![CDATA[In the context of the forced reducing of carbon dioxide emissions hydrogen driven internal combustion engines can be a useful technical solution. In the paper the authors show how to use a cogeneration unit as a test platform for research in the field of hydrogen combustion. First, the benefits of the type of the test platform will be described (e.g. stationary operation point, integrated dyno, single cylinder design). Furthermore, because of the hydrogen combustion-based requirements several engine parts have to be customized or new designed. The most important part of the process is the cylinder head, which has been manufactured with an additively technology SLM (Selective Laser Melting). This technology provides a maximum degree of freedom regarding to the usual manufacturing limits of conventional technologies.]]></description>
      <pubDate>Mon, 13 Jul 2026 10:46:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2579390</guid>
    </item>
    <item>
      <title>Experimental Analysis of Frictional Torque from Radial Ball Bearings</title>
      <link>https://trid.trb.org/View/2579379</link>
      <description><![CDATA[In this paper a method for experimental determination of frictional torque in radial ball bearings is proposed. For this purpose, an experimental stand is designed and manufactured which allows experimental determination of the frictional torque. A mathematical model is presented which allows the determination of frictional torque in bearings, namely the torque due to liquid lubrication and the torque due to rolling. This mathematical model is processed and numerical data are obtained, by theoretical method, which are compared with those determined experimentally. The obtained results are presented and discussed in the paper.]]></description>
      <pubDate>Mon, 13 Jul 2026 10:46:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/2579379</guid>
    </item>
    <item>
      <title>Mechanical Evaluation of 3D-Printed Lightweight Structure for Automotive Parts: A Simulation Based Analysis</title>
      <link>https://trid.trb.org/View/2579353</link>
      <description><![CDATA[The third industrial revolution, also known as Additive Manufacturing, is a new technique that enables the creation of objects based on a 3D digital model in order to reduce waste, customize products, and produce car parts in low volumes using various techniques. In the pursuit of achieving lightweight and high-performance components to enhance vehicle performance and efficiency, the automotive industry is continuously turning to advanced manufacturing technologies such as 3D printing. This study aims to design, simulate, and experimentally investigate the mechanical properties of a 3D printed Lightweight structure part for automotive applications using the Fused Deposition Method (FDM). A Finite Element Analysis software will be used to assess the mechanical behavior of this part under different loading conditions. By comparing the experimental and simulation results, this research aims to demonstrate the weight savings and potential performance benefits achievable with this structure.]]></description>
      <pubDate>Mon, 13 Jul 2026 10:46:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/2579353</guid>
    </item>
    <item>
      <title>The Influence of Interlayer Ironing on Dimensional Accuracy of ASA MEX Manufactured Parts</title>
      <link>https://trid.trb.org/View/2579348</link>
      <description><![CDATA[Continuous research in the field of additive manufacturing has led to the need of constant improvement of manufacturing parameters according to the workpiece material and functioning conditions. Because of the variety of materials use for the manufacturing of filaments these concerns are especially meet in the case of FDM (Fused Deposition Modeling) manufacturing, in recent years the main directions outlined for productivity and quality improvement were related to higher printing speed and the use of Ironing-type processes. These directions opened new possibilities for materials with an amorphous structure such as ASA (Acrylonitrile Styrene Acrylate) or ABS (Acrylonitrile Butadiene Styrene), due to their tendency to deform during the manufacturing process. This article aims to study the manufacturing parameters on the dimensional accuracy of the ASA material. The degree of novelty is given by the application of the Ironing process on each individual layer, at different ironing angles. A full factorial 4³ experimental design was designed for this study, in which the factors studied were ironing angle, nozzle diameter, and layer spacing during ironing. The dimensional accuracy was analyzed by means of reverse engineering technique, by scanning the samples and determining the deviations by using a reverse engineering dedicated program Geomagic Design X. The results allowed the drawing of the variation graphs and the possibility of applying the analysis of variance (ANOVA) which provides information about the degree of influence of each of the studied factors. The study found that a 0.6 mm nozzle diameter achieved the best surface smoothness for ironing ASA parts, while a 0.8 mm nozzle provided the highest dimensional accuracy. Additionally, a smaller ironing spacing of 0.1 mm significantly improved dimensional accuracy, compared to a 0.3 mm spacing, due to enhanced heat distribution and material consolidation.]]></description>
      <pubDate>Mon, 13 Jul 2026 10:46:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/2579348</guid>
    </item>
    <item>
      <title>Math Model Study of Glide Slope Site for Runway 31, La Guardia Airport, New York, New York</title>
      <link>https://trid.trb.org/View/2719321</link>
      <description><![CDATA[The purpose of this study was to provide computer modeled Instrument Landing System (ILS) glide slope performance data for the proposed installation of a glide slope system to service runway 31 at La Guardia Airport, New York, New York.]]></description>
      <pubDate>Mon, 13 Jul 2026 09:39:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/2719321</guid>
    </item>
    <item>
      <title>Evaluation of Deep Learning Strategies Using Two Different Image Data Sets for Automated Pavement Distress Detection Methodology</title>
      <link>https://trid.trb.org/View/2724839</link>
      <description><![CDATA[This paper investigates strategies to enhance the performance of deep learning models in pavement distress detection by utilizing two distinct datasets collected and annotated from different sources (vendors). The datasets consist of two- and three-dimensional images scanned from asphalt/concrete pavements and manually labeled for multiple surface distresses. Despite using the same base model to train individually, the performance of new models varies between the two datasets for the same pavement type. It remains a question whether transfer learning, knowledge distillation, or data merging will improve weaker models by leveraging stronger ones and increase the models’ robustness across different data sources. Experiments are conducted using these strategies to assess their applicability for single-source data (e.g., from a single vendor) and their generalization for multiple sources (e.g., from two or more vendors). This paper bridges a knowledge gap by qualitatively and quantitatively evaluating the effects of these strategies on current pavement distress detection practices using image data. Optimal approaches, such as fine-tuning or data merging, are recommended for various use cases aimed at real applications.]]></description>
      <pubDate>Fri, 10 Jul 2026 12:12:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2724839</guid>
    </item>
    <item>
      <title>Physics-data driven approach for multi-objective intelligent prediction and optimization of deep soft rock tunnel stability</title>
      <link>https://trid.trb.org/View/2686853</link>
      <description><![CDATA[The creep effect is a key factor influencing the long-term stability analysis of deep-buried, water-rich soft rock tunnels. This study proposes a physics-data driven multi-objective intelligent prediction and optimization framework. It is designed for the accurate assessment of surrounding rock stability and the optimization of support parameters during the construction of water-rich soft rock tunnels. First, a numerical simulation was conducted using FLAC3D. This simulation was based on an improved hydro-mechanical coupled nonlinear three-dimensional creep constitutive model. Subsequently, a high-dimensional database was generated by combining mixed-level uniform design and Sobol sequence sampling. This database encompasses eight environmental and support input parameters and three stability output indicators. A BO-LightGBM multi-output surrogate prediction model was constructed using MultiOutputRegressor. This model accurately maps support parameters to long-term stability indicators of the surrounding rock. These indicators include Crown Settlement(Δ), Crown Settlement rate (v), Crown Settlement Acceleration (v′). Furthermore, safety-cost dual physical constraints were established. These constraints are based on the threshold values of surrounding rock stability indicators and the minimization of support quantity. An intelligent optimization algorithm framework, BO-LightGBM-IBKA, was developed for support parameters. This framework was then applied and discussed using the case of the Huzhu Beishan Tunnel project in Qinghai Province, China. The constructed high-dimensional database exhibits low parameter correlation and no redundancy among the input features. The BO-LightGBM model demonstrated excellent prediction accuracy for Δ, v, and v′, with all R2 values exceeding 0.90. Its performance is significantly superior to traditional models like Random Forest (RF) and Support Vector Regression (SVR). The BO-LightGBM-IBKA optimization method reduced crown settlement by 32.78%, settlement rate by 88.73%, and total support quantity by 12.51%. Its optimization capability is significantly better than mainstream algorithms such as Harris Hawks Optimization (HHO) and Sparrow Search Algorithm (SSA).]]></description>
      <pubDate>Fri, 10 Jul 2026 09:42:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/2686853</guid>
    </item>
    <item>
      <title>An efficient three-dimensional microstructural segmentation method for asphalt mixtures based on X-ray CT data</title>
      <link>https://trid.trb.org/View/2684800</link>
      <description><![CDATA[Asphalt mixtures are typical multiphase heterogeneous materials, and accurate characterization of their three-dimensional mesostructure provides a fundamental basis for mixture design and macroscopic performance improvement. However, the complexity of asphalt mixture mesostructures and the computational demands of volumetric CT data make it difficult for conventional three-dimensional segmentation models to achieve a satisfactory balance between accuracy and efficiency. In this study, a three-dimensional mesostructural segmentation method for asphalt mixtures is developed. A feature representation mechanism based on state-space modeling is designed to enable direct three-dimensional segmentation of aggregates, mortar, and air voids from volumetric CT data with reduced computational complexity. Comparative evaluations against five representative baseline models demonstrate that the proposed method achieves superior overall performance in terms of three-dimensional segmentation accuracy, computational efficiency, and consistency in phase volume fraction estimation.]]></description>
      <pubDate>Thu, 09 Jul 2026 13:29:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/2684800</guid>
    </item>
    <item>
      <title>Numerical investigation of non-corrodible bridge deck incorporating Y-shape GFRP stay-in-place structural formwork</title>
      <link>https://trid.trb.org/View/2685150</link>
      <description><![CDATA[This study numerically investigates and optimises a non-corrodible concrete bridge deck system incorporating pultruded Y-shaped glass fibre-reinforced polymer (GFRP) stay-in-place (SIP) formwork. A comprehensive 3D nonlinear finite-element (FE) model was developed in ABAQUS/CAE, calibrated using the concrete damage plasticity model (optimal dilation angle ψ = 42°), and used to conduct a detailed parametric study on the effects of concrete strength, stiffener spacing, and stiffener thickness. The results demonstrate that concrete strength has a negligible influence on stiffness and failure mode but affects capacity, with reductions from 34 MPa to 20 MPa lowering cracking and peak loads by 16% and 14%, respectively. Stiffener spacing directly governs damage mode and post-peak response; reducing spacing from 80 mm to 50 mm improved ductility and increased peak load by 6%, while increasing spacing to 110 mm reduced capacity by 5%, indicating that the 80 mm spacing is not only structurally effective but also a cost-efficient configuration. Stiffener’s thickness showed a plateauing effect on the peak strength, with a 25% reduction improved material efficiency at the expense of 7% lower capacity, whereas a 50% reduction triggered brittle collapse without further peak-load loss. These findings provide quantitative guidance for the design of durable, efficient GFRP SIP bridge decks to accelerate resilient bridge deck design.]]></description>
      <pubDate>Thu, 09 Jul 2026 13:29:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/2685150</guid>
    </item>
    <item>
      <title>Development of a road snow and ice condition model considering deicing agent and passing vehicles</title>
      <link>https://trid.trb.org/View/2686755</link>
      <description><![CDATA[A model for predicting road snow and ice conditions that takes into account the effects of deicing agent application and passing vehicles (an RSIC-SV model) was developed in this study for predicting the state of snow and ice on roads. This model was created by taking into account the effects of mechanical snow removal and deicing agent application, and the thermal and physical effects of passing vehicles. The entrainment of snow and ice on roads by passing vehicles, which was quantitatively evaluated through field tests in this study. The factors in developing the model were heat balance, air volume balance, and mass balance of water/ice/solid-phase salt/liquid-phase salt. Field observations were conducted to compare measured values and analytical values related to the conditions of snow and ice on roads. Then, the accuracy of the model's predictions of snow and ice conditions on the road was verified.Consequently, the entrainment flux due to the passing of a small truck or a passenger car was formulated by using the thickness of the snow-and-ice layer on the road. Additionally, it was proved that the application of a deicing agent and entrainment by passing vehicles were anthropogenic factors that could not be ignored in analyzing the conditions of snow and ice on the road. The RSIC-SV model had an analysis accuracy of up to 70%.]]></description>
      <pubDate>Thu, 09 Jul 2026 13:29:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/2686755</guid>
    </item>
    <item>
      <title>Math Model Study for Runway 21R Instrument Landing System Localizer at Felts Field, Spokane, Washington</title>
      <link>https://trid.trb.org/View/2717073</link>
      <description><![CDATA[This study was performed to provide computer modeled performance data for the proposed installation of a Wilcox Log Periodic Localizer System to serve Runway 21R at Felts Field, Spokane, Washington. The Northwest Region (ANW-450) plans to install an Instrument Landing System (ILS) Localizer to service Runway 21R at Felts Field, Spokane, Washington. The Wilcox 8-element and the Wilcox 14-element self clearing log periodic antenna arrays are being considered for this installation to provide ILS performance for category 1 service. ILS math modeling of this site was requested by ANW-450 to assist them in antenna system selection.]]></description>
      <pubDate>Wed, 08 Jul 2026 10:02:08 GMT</pubDate>
      <guid>https://trid.trb.org/View/2717073</guid>
    </item>
    <item>
      <title>Analytical solution of vehicle phase-plane equilibria through the Root-Rational tyre model</title>
      <link>https://trid.trb.org/View/2685648</link>
      <description><![CDATA[Passenger vehicle steady-state behaviour has been investigated for a long time. Among the existing methods, the phase portrait is rather popular and useful. However, the computation of vehicle equilibria may only be done numerically. Furthermore, the numerical procedure must be repeated in case of changes in the inputs (e.g. steering angle). This paper proposes a new methodology to obtain an analytical solution of vehicle equilibria. The key is the definition of a new tyre model, denoted as Root-Rational (RR) tyre model, which allows inverting the vehicle dynamics equations in closed form. Using the proposed tyre model reduces the equilibria location problem to finding the roots of a third-order polynomial. After describing the procedure in detail, comparisons are made between the analytical solution and a classical numerical approach, either using the same RR tyre model or a more classical one. Results show great accuracy when locating the equilibria coordinates and a significantly reduced computational time, paving the way for innovative vehicle stability control algorithms based on the real-time identification of the stability region in the phase plane.]]></description>
      <pubDate>Wed, 01 Jul 2026 09:39:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/2685648</guid>
    </item>
  </channel>
</rss>