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    <title>Transport Research International Documentation (TRID)</title>
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    <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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      <title>Deriving Transit Performance Metrics from GTFS Data</title>
      <link>https://trid.trb.org/View/2732356</link>
      <description><![CDATA[Transit agencies devote extensive resources to producing General Transit Feed Specification (GTFS) Schedule and Realtime data to power trip planning applications. In representing scheduled and actual service characteristics, these data offer a theoretical off-label use to generate metrics of transit service performance. This project seeks to create and test a set of standardized protocols for deriving and visualizing these performance metrics from raw GTFS feeds. These protocols would be established in such a way as to enable transit agencies, planning organizations, transportation researchers, transit advocates, and community-based organizations to easily implement them on any transit system with available GTFS schedule and GTFS realtime feeds. Specific metrics would look at common transit issues tied to schedule deviation – from on-time performance to bus bunching – but at a more granular spatial and temporal level than ever before possible. This detail, literally at the stop and segment level, is designed to enable more effective transit planning and advocacy.

The research would first collect a multi-day sample of GTFS schedule and realtime data from one or more transit agencies. This information would serve as the core data for the entire project. These data would be stored in a relational database that enables spatial analysis, such as PostGIS. The research would first design appropriate cleaning and aggregating protocols to prepare the data for performance analysis. A web-based tool, likely using D3, would be designed to allow a user to interact with the data to generate and visualize the transit performance metrics. The tool would allow fine-grained filtering by location and time period to enable detailed analysis of transit performance. A key feature of this approach is to allow interactivity with the data.]]></description>
      <pubDate>Tue, 21 Jul 2026 16:26:51 GMT</pubDate>
      <guid>https://trid.trb.org/View/2732356</guid>
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    <item>
      <title>Standardization of SIP Calculation for Hamburg Wheel Tracking Test</title>
      <link>https://trid.trb.org/View/2720591</link>
      <description><![CDATA[This project aimed to develop software to standardize and automate the calculation of stripping inflection point (SIP) from the Hamburg Wheel Tracking Test (HWTT) for evaluating the moisture susceptibility of asphalt mixtures. A survey of state highway agencies (SHAs) was conducted to collect information on their use of HWTT to evaluate asphalt mixtures. Based on the survey responses and consultations with HWTT equipment manufacturers, seven SIP calculation methods were identified, synthesized, and critically reviewed for comparison. These efforts resulted in selecting the most robust method for software development. Finally, a web-based program, named HWTTXpert, was developed through alpha testing at the National Center for Asphalt Technology (NCAT) at Auburn University and beta testing with 12 SHAs and three equipment manufacturers. The program is now accessible at http://HWTTXpert.eng.auburn.edu, with login credentials available upon request.]]></description>
      <pubDate>Mon, 13 Jul 2026 08:51:49 GMT</pubDate>
      <guid>https://trid.trb.org/View/2720591</guid>
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      <title>Web-Based Tool to Advance Geotechnical Data Interchange and Reliability-Based Site Characterization</title>
      <link>https://trid.trb.org/View/2721746</link>
      <description><![CDATA[The Louisiana Department of Transportation and Development (DOTD) continues to improve its geotechnical data management policies and expand its use of digital data for geotechnical design. New advanced data-rich techniques and methodologies have been developed for geotechnical site characterization, including those recommended by the Advanced Geotechnical Methods in Exploration (A-GaME) program of the Federal Highway Administration (FHWA). Specifically, this research focused on the development and implementation of a web-based platform to efficiently visualize and interpret geotechnical data and help facilitate project delivery. The web-based platform can incorporate geotechnical data from DOTD’s OpenGround dataset, gINT files from consultants, and/or Data Interchange for Geotechnical and Geoenvironmental Specialists (DIGGS) data files for analysis based on the American Association of State Highway Transportation Officials (AASHTO) Section 10 and FHWA Geotechnical Engineering Circular No. 5 (GEC-5) updates.]]></description>
      <pubDate>Mon, 13 Jul 2026 08:51:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2721746</guid>
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      <title>Time Use, Travel, and Telework Dashboard (T3D)</title>
      <link>https://trid.trb.org/View/2712618</link>
      <description><![CDATA[The American Time Use Survey (ATUS) provides a comprehensive source of information on the daily activities and time use patterns of Americans and has broad applications in transportation planning, economics, public policy, and urban planning. Despite its immense value, the complexity and scale of ATUS data make it difficult for policymakers, planners, researchers, and the general public to access, interpret, and utilize the information efficiently. Extracting meaningful insights often requires advanced analytical skills and repetitive data processing efforts, which create substantial barriers to the broader use of the dataset. To address these challenges and support the National Center for Understanding Future Travel Behavior and Demand (TBD) Center’s broader Data Hub initiative, this project developed the Time Use, Travel, and Telework Dashboard (T3D), a web-based interactive platform designed to improve the accessibility and interpretability of ATUS data. T3D provides users with instant insights into Americans’ time use, travel behavior, and work arrangement patterns using ATUS data from 2003 to the present. The dashboard includes three dedicated topical modules focusing on the time use, travel, and telework aspects of the ATUS data. Within each topical module, the dashboard further provides within-year, between-year, and cross-segment analysis capabilities, allowing users to extract insights at multiple levels using various metrics of interest that can be customized for population segments defined by users through a set of socio-economic, demographic, and travel-related attributes. The project also explored and implemented efficient data processing and visualization techniques to ensure the dashboard remains responsive, scalable, and user-friendly. By transforming complex ATUS datasets into an accessible and interactive platform, T3D expands the usability and impact of ATUS data while supporting interdisciplinary research and evidence-based decision-making.]]></description>
      <pubDate>Tue, 16 Jun 2026 07:28:34 GMT</pubDate>
      <guid>https://trid.trb.org/View/2712618</guid>
    </item>
    <item>
      <title>Bridge Deck Preservation Portal – Phase 1</title>
      <link>https://trid.trb.org/View/2712061</link>
      <description><![CDATA[Bridge preservation planning has gained significant interest in recent years due to its high potential to provide better asset management programs. The use of bridge preservation improves the life-cycle cost of the asset as preservation actions should increase the service life at a reduced cost compared to repair or rehabilitation. This project aims to develop a framework for bridge deck preservation tool that can help engineers at state and local departments of transportation choose the optimum preservation action for a given bridge deck. The proposed tool consist of five modules: user inputs, selection of maintenance actions, analytical algorithms, optimization, and output. A comprehensive literature search of available maintenance actions for concrete, steel and timber bridge decks was completed including service life and cost information for each of the maintenance actions. WJE also developed an innovative probabilistic algorithm to provide estimate for service life extension associated with the different maintenance actions based on the pre-existing condition of the bridge deck, traffic loading, and environmental exposure, among other factors, with the estimated uncertainty. A technique to incorporate the estimated service life in available bridge deck deterioration model was also proposed. At the end of the analysis, life-cycle cost analysis is conducted. An optimization technique for automated selection of the best maintenance actions is used to present the ranked options to the user along with other data viewing options that present information in terms of minimum initial cost or expected life extension. This is intended to aid in the decision-making process of the user. Example bridges were analyzed using a preliminary MATLAB tool that was developed to test the logic proposed in this effort. Next steps to complete the effort as well as areas where additional research is needed were also identified.]]></description>
      <pubDate>Tue, 09 Jun 2026 10:56:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2712061</guid>
    </item>
    <item>
      <title>Application of ENROAD Tool for Pre-feasibility Evaluation of Renewable Energy Projects Within the Road Environment</title>
      <link>https://trid.trb.org/View/2581588</link>
      <description><![CDATA[Roads are vital infrastructures for the mobility of people, transport of goods and, in general, for every country’s economic development. On the other hand, roads have a significant impact on the environment throughout their life cycle. Thus, greenhouse gas (GHG) emissions from the transport sector in the EU have substantially grown in the last few years, unlike other sectors like energy or manufacturing industries, which managed to greatly reduce their GHG emissions. Several solutions are currently in place to minimize the environmental impact of roads, such as the use of more sustainable materials, the use of biofuels by vehicles, the promotion of cycling and public transport, or the electrification of roads. The use of renewable energies, such as solar and wind energy, should also be considered to power road infrastructures and services such as lighting, signaling or even electric vehicle charging stations. A case study is presented here for application with ENROAD, a web-based, open source, road-focused tool for decision making at a very early stage of investments in renewable energy projects. The solution provided shows the potential use of a specific site to cover the energy needs of a road infrastructure, also allowing the comparison between different generation alternatives.]]></description>
      <pubDate>Fri, 05 Jun 2026 16:39:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2581588</guid>
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    <item>
      <title>Further Refinement and Integrated Platform for INDOT Traffic Management and Safety Toolset</title>
      <link>https://trid.trb.org/View/2706306</link>
      <description><![CDATA[The project aims to further refine the previously developed Anomaly Detection and Weaving Analysis programs and create a unified, Web-based user interface for users to access TASI-developed software tools conveniently. (1) The  Indiana Department of Transportation (INDOT) Application Suite has been successfully developed for centralizing the digital platform developed by Purdue University’s Transportation and Autonomous Systems Institute (TASI). It offers a secure, single point of access to a range of specialized applications, consolidating multiple tools into a unified system. (2) A scalable, lane-wise highway traffic anomaly detection framework that operates exclusively on video-based data was designed. By leveraging artificial intelligence (AI)-driven vision techniques, the anomaly detection system extracts interpretable lane-specific traffic features, including vehicle count, occupancy, and truck percentage. We introduced a novel dataset derived from real-world highway surveillance, capturing fine-grained traffic dynamics across multiple time periods and anomaly types. (3) The Highway Weaving Analysis Program has been successfully developed. Due to the technical challenges of vehicle reidentification from CCTV footage, the automated matching process can produce false positives. To address this, the system incorporates a human-in-the-loop verification step in the Web-Based Vehicle Matching Verification and Result Generation GUI. Based on this verified data, the system calculates the final lane-to-lane weaving percentages. The results are presented in a comprehensive, user-friendly report that includes Sankey diagrams visualizing the traffic flow for all vehicles, as well as for cars and trucks separately. The entire system operates on a cloud maintained by Purdue University.]]></description>
      <pubDate>Fri, 05 Jun 2026 16:38:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/2706306</guid>
    </item>
    <item>
      <title>Developing Connectivity Tools: Improving Urban Spaces with the assistance of Connectivity Analysis</title>
      <link>https://trid.trb.org/View/2580100</link>
      <description><![CDATA[Since 2022, Ireland’s National Transport Authority (NTA) have been developing web-based tools that are capable of undertaking connectivity assessments of settlements throughout Ireland. These tools have the opportunity to greatly enhance land use and transport planning decision making processes, and it is the intention of the NTA to introduce them as a standardised approach to connectivity analysis for use by Local Authorities and Government Bodies. The tools highlight opportunities and constraints for sustainable modes within existing transport networks, while also offering the potential to explore improved options. The application of these tools in the development of Local Transport Plans assists in the improved design of urban spaces by bringing active modes and permeability to the forefront of the planning process. These toolkits are now widely used amongst Local Authorities during development of their Local Transport Plans and have also attracted significant interest from Government Departments as they look to establish better ways to promote sustainable development methodologies.]]></description>
      <pubDate>Fri, 29 May 2026 15:36:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/2580100</guid>
    </item>
    <item>
      <title>Knowledge-Based Digital Inspection System for Training Construction Inspectors</title>
      <link>https://trid.trb.org/View/2701143</link>
      <description><![CDATA[State transportation agencies face growing challenges in training construction inspectors owing to a shrinking experienced workforce and the increasing complexity in inspection tasks. Traditional document-based training methods are often fragmented and lack contextual depth, limiting their effectiveness in preparing novice inspectors. This study presents a knowledge-based digital inspection training system that consolidates inspection information from multiple Indiana Department of Transportation (INDOT) documents—including Standard Specifications, General Instructions to Field Employees, Indiana Testing Methods, standard drawings, and Manual for Frequency of Sampling and Testing and Basis for Use of Materials—into a semantically structured knowledge graph. The inspection training system enhances learning through the integration of rationale, instructions, construction pitfalls, and failure scenarios associated with inspection tasks. A user-centered web application was developed to deliver this content in an intuitive format aligned with how inspectors naturally perform their duties—by pay item, construction process, or risk scenario. The system was evaluated through a mock exercise involving INDOT inspectors. Results showed that the system is effective in improving the construction inspectors’ confidence and understanding of inspection rationale, instructions, and risk consequences of missed inspection. This research contributes a scalable, risk-informed framework that improves accessibility and comprehension of inspection knowledge, with the potential to foster proactive inspection behaviors and support more consistent construction quality control across transportation projects.]]></description>
      <pubDate>Mon, 11 May 2026 12:24:46 GMT</pubDate>
      <guid>https://trid.trb.org/View/2701143</guid>
    </item>
    <item>
      <title>User Manual for Digital Inspection Training System</title>
      <link>https://trid.trb.org/View/2696031</link>
      <description><![CDATA[Construction inspection plays a pivotal role in ensuring the quality and long-term performance of infrastructure products. Indiana Department of Transportation (INDOT) is currently facing the challenge to effectively train novice inspectors and update experienced inspectors with the latest versions of quality requirements to perform construction inspection effectively and more efficiently. This project developed a digital inspection training system to train INDOT inspectors to inspect asphalt pavement construction. Inspectors can access the inspection instructions through a construction process-based approach or a pay item-based approach. The inspection guidance is developed using data and information from INDOT’s Standard Specification (2024), Manual for Frequency of Sampling and Testing and Basis for Use of Materials, General Instructions to Field Employees, Standard Drawings, risk-based check items developed in previous Joint Transportation Research Program (JTRP) projects (SPR 4002 and SPR 4422), INDOT training materials, and relevant external references from Federal Highway Administration, state transportation agencies, and reports of National Cooperative Highway Research Program (NCHRP) projects. The system is implemented through a Web platform. It serves as a training tool for novice inspectors and a quick reference for experienced inspectors seeking update-to-date specifications and guidelines.]]></description>
      <pubDate>Wed, 06 May 2026 15:22:05 GMT</pubDate>
      <guid>https://trid.trb.org/View/2696031</guid>
    </item>
    <item>
      <title>Development of Design Configurator Tool for Rapid Initial Design of Fast Zero-Emission Battery-Electric Vessels</title>
      <link>https://trid.trb.org/View/2580019</link>
      <description><![CDATA[Small vessels, such as river buses, ferries, and workboats, have significant decarbonization potential by implementing battery-electric propulsion systems. Designing battery-electric vessels presents unique challenges due to the lower energy density of the battery. The battery constitutes a significant portion of the vessel’s weight and space, and it size heavily influenced by operating profiles and availability of charging stations and charging speed. This creates feasibility concerns for pure battery-electric vessels in terms of weight, space, and charging requirements. To address this, a design configurator tool has been developed, which can swiftly generate initial designs of battery-electric vessels and evaluate feasibility based on the specific design and operational requirements. The tool takes design requirements as inputs and outputs include potential design candidates together with various ship design calculations including feasibility and optimality assessments. The design of the tool is based on a hull design database containing various combinations of main dimensions, with the corresponding hydrostatic and hydrodynamic data. The capability of the tool was demonstrated in designing two replicator vessels in the EU Horizon TrAM project. This design automation tool aims to expedite the transition to zero-emission battery-electric vessels by aiding decision-making processes for ship operators and designers, considering their unique operational requirements.]]></description>
      <pubDate>Mon, 27 Apr 2026 14:55:47 GMT</pubDate>
      <guid>https://trid.trb.org/View/2580019</guid>
    </item>
    <item>
      <title>Personal Vehicle Ownership and Operating Cost Calculator (Version 2.0) for Quantifying On-road Vehicle Operating Costs</title>
      <link>https://trid.trb.org/View/2691663</link>
      <description><![CDATA[In 2018, the Georgia Tech National Center for Sustainable Transportation (NCST) research team developed the Vehicle Ownership and Operating Cost Calculator (VCC) Version 1.0, allowing users to calculate and understand total vehicle ownership costs over the lifespan of the vehicle. Traditional resources typically found on automotive websites offer five-year cost projections, but often overlook or simplify long-term expenses such as financing, maintenance, energy use, and depreciation, which vary widely based on region, vehicle type, and individual driving habits. By allowing users to input personalized data, the calculator provides a tailored, detailed analysis of ownership costs, helping users make more informed decisions about vehicle purchases. The VCC is designed to serve as an educational resource (highlighting the cost categories associated with vehicle ownership) and as an instructional aid in courses that examine transportation planning and economic assessments. The VCC allows users to input data specific to their circumstances, including vehicle purchase price, loan details, annual mileage, insurance, energy costs, maintenance, and other costs like parking and tolls. Using data from sources such as the Georgia Department of Revenue’s vehicle pricing database and the U.S. Department of Energy’s Fuel Economy Database, the calculator provides customized cost estimates. The tool provides users (students and the public) with a thorough understanding of the full costs associated with lifetime vehicle ownership, by offering a comprehensive breakdown of ownership costs, including hidden expenses often overlooked in purchase decisions. The original model became dated, because the tool did not have the ability to automatically ingest and update vehicle ownership cost data. This project will update the tool with new data, develop data ingestion procedures, and modify output formats to support economic assessments of roadway design alternatives. To make the VCC accessible and support technology transfer, this project will update the calculator to accommodate the latest vehicle technologies (2018-2025) and to generate an online model presence. The research team will update fuel prices, maintenance, insurance costs, and depreciation rates to capture recent market changes. The team will also assess and implement enhanced reporting features to provide users with more detailed breakdowns and visualizations of ownership costs. Finally, the team will modify the structure of the model so that the tool can compile operating costs per vehicle-mile for observed and modeled on-road fleet compositions and operating conditions. The deliverables will include an updated version of the calculator accessible as both an Excel tool and a web interface.]]></description>
      <pubDate>Sun, 12 Apr 2026 23:22:20 GMT</pubDate>
      <guid>https://trid.trb.org/View/2691663</guid>
    </item>
    <item>
      <title>Automated Record Keeping for Maintenance Operations via Tracking of Maintenance Vehicles Using Telematics Tracks</title>
      <link>https://trid.trb.org/View/2686243</link>
      <description><![CDATA[Efficient and accurate record-keeping for maintenance vehicle operations is essential for optimizing resources, improving accountability, and enhancing decision-making for transportation agencies. The Indiana Department of Transportation (INDOT) sought an automated system to verify and improve work order records using telematics-based vehicle tracking. This study developed and evaluated a system that leverages Global Positioning System (GPS) data from INDOT’s Data Warehouse to automate work order verification, track vehicle movements, and enhance data accuracy for winter highway maintenance operations. The system integrates GPS tracking, automated data processing, and visualization tools to address key challenges such as data standardization, GPS accuracy, and time resolution. Results indicate that minute-level GPS sampling is insufficient for work order automation, and higher-resolution second-level tracking is recommended. A web-based application was developed to provide managers with scalable, privacy-focused tools for visualizing and validating maintenance activities. Key findings include the successful automation of work order verification, the development of a standardized GPS-to-road location conversion methodology, and the identification of operational challenges such as data transmission gaps in rural areas. The study recommends increasing GPS data resolution, implementing standardized data processing frameworks, enhancing work order recording methods with precise start and end times, and expanding the system to other maintenance operations such as asphalt patching and roadside mowing. This research provides a scalable framework for automating maintenance record-keeping, emphasizing the importance of data accuracy, standardization, and enhanced GPS tracking to improve operational efficiency in transportation management.]]></description>
      <pubDate>Thu, 09 Apr 2026 13:41:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/2686243</guid>
    </item>
    <item>
      <title>Modernization and Web-Based Implementation of the Illinois Pavement Feedback System</title>
      <link>https://trid.trb.org/View/2677555</link>
      <description><![CDATA[This project will modernize the Illinois Department of Transportation’s (IDOT's) Illinois Pavement Feedback System, a pavement management system that contains detailed construction history, performance data and traffic data of the Illinois interstate system. Researchers will transition the database from a mainframe-based system into a secure, web-based pavement data management and analysis platform. Transitioning to a web-based platform will provide IDOT with an easy way to access the data, monitor interstate sections, and make informed maintenance and rehabilitation decisions. The system will also have a detailed dataset on Illinois’ interstate system available to researchers.]]></description>
      <pubDate>Wed, 04 Mar 2026 09:22:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/2677555</guid>
    </item>
    <item>
      <title>BTSCRP Web-Only Document 3: Employer-Based Driver Safety Programs</title>
      <link>https://trid.trb.org/View/2627337</link>
      <description><![CDATA[This article includes excerpts and highlights from Behavioral Traffic Safety Cooperative Research Program (BTSCRP) Web-Only Document 3: Developing Employer-Based Traffic Safety Programs for Drivers in the Workplace. For this research project, employer-based behavioral traffic safety programs were defined as ongoing organizational initiatives designed to reduce the risk of an employee being in a road accident, reduce the severity of an injury if a collision occurs, or improve driving safety while driving for work. The research project used behavioral change theories to identify key components of effective employer-based driver safety programs and develop an online tool to help plan, implement, and evaluate them. Article topics include current employer practices, behavioral change theory, and safety program evaluation and measures of effectiveness.]]></description>
      <pubDate>Tue, 06 Jan 2026 08:59:30 GMT</pubDate>
      <guid>https://trid.trb.org/View/2627337</guid>
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