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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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    <item>
      <title>CEDR Call 2022 Data: Data strategy for digital road operators</title>
      <link>https://trid.trb.org/View/2709467</link>
      <description><![CDATA[The Conference of European Directors of Roads (CEDR) set up the research call for data in 2022 to provide the National Road Authorities (NRAs) a certain level of confidence in approaching the era of digitalisation, where collecting, managing and sharing the data from NRAs, third-party service providers and road users become vital to improve the safety, efficiency and sustainability of road transport. This Programme had the topics of: (a) Maintaining and sharing the digital road infrastructure, (b) Improving the use of third-party data by NRAs, (c) Integrity, Authenticity and Non-Repudiation (e.g. proof of the origin, authenticity and integrity of data) integrated in Trust Models for cooperative intelligent transport systems (C-ITS) applications. The call resulted in the selection of three project consortiums for the specific topics a-c above. The consortiums set up the three projects of (a) DROIDS (Digital Road Operator Information and Data Strategy), (b) PRESORT (ImPRoving thE uSe Of third-paRTy data by NRAs), and (c) TIARA (Trusted Integrity and Authenticity for Road Applications). This final programme report has been produced on the basis of the deliverables of the three projects DROIDS, PRESORT and TIARA as well as the presentations, discussions and the conclusions made at the programme’s final conference in Birmingham, England on 14-15 October 2025.]]></description>
      <pubDate>Thu, 11 Jun 2026 13:20:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/2709467</guid>
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    <item>
      <title>FY 25/26 Florida Local Technical Assistance Program</title>
      <link>https://trid.trb.org/View/2673041</link>
      <description><![CDATA[The overall goal and associated objectives of the Florida Local Technical Assistance Program (LTAP) Center is to deliver a highway training curriculum and technical assistance that will provide local agencies with tools to build their capacity and means to innovatively address their roadway network challenges and be reflective of the Federal Highway Administration (FHWA)’s current core areas of Safety, Infrastructure Management, Workforce Development, and Organizational excellence.]]></description>
      <pubDate>Tue, 24 Feb 2026 13:15:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2673041</guid>
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    <item>
      <title>CEDR Call 2021 Climate Change Resilience Final Programme Report</title>
      <link>https://trid.trb.org/View/2608468</link>
      <description><![CDATA[This final report provides the results of the ICARUS project, (Improving the uptake of Climate change Adaptation in the decision making processes of Road aUthoritieS), that was selected by the Conference of European Directors of Roads (CEDR), to conduct research in the domain of implementation of climate change adaptation. The research ensures that existing research and lessons learned from various case studies can be successfully implemented into the processes of National Road Authorities (NRA’s). The consortium is confident that NRAs will be able to use the following key results of the ICARUS project in their asset management processes for enhancing resilience via adaptation: (1) An overview of the baseline for climate change resilience assessments, resilience evaluation and the use of cost benefit assessments for climate change adaptation; (2) A report on the use of impact chains for understanding of direct and indirect impacts; (3) Guidelines on how to define and use minimum viable service levels for evaluating resilience and adaptation options based on quantification and valuation of associated costs and wider co-benefits and considering a whole life perspective; (4) Guidelines providing an overview and characterisation of adaptation measures, aimed towards implementation in the various NRAs processes; (5) Demonstration report showing how adaptation measures can be evaluated; (6) Report with success factors on implementing Nature-based Solutions; (7) Resource training pack for different target audiences to ensure implementation of output.]]></description>
      <pubDate>Wed, 29 Oct 2025 16:36:23 GMT</pubDate>
      <guid>https://trid.trb.org/View/2608468</guid>
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    <item>
      <title>Development of Operations Management System for Iowa Secondary Road Departments</title>
      <link>https://trid.trb.org/View/2608099</link>
      <description><![CDATA[A management goal in every Secondary Road Department is to optimize the work performance of its employees. To be most effective, everyone in the department needs access to all the information about the soft assets used to do their jobs and effective communications with other staff. While this has long been accomplished via paper records, radios, phones and end-of-day discussions, this has created inefficiencies within the department. To respond to this challenge, the Iowa County Engineers Association (ICEA) Computer and Information Technology Committee created a vision of a web-based set of tools that would help optimize the functioning of secondary road department maintenance assets. The Iowa County Engineers Association Service Bureau (ICEASB) with its team of web-based computer developers, worked closely with the ICEA Computer and Information Technology Committee to create several new computer applications that help manage the soft assets of a secondary road department. This suite of applications makes up theOperation Management System (OMS) hosted on the ICEASB website. These applications include: 1. Time Tracking Time Policies, Time Clock, Time Off, Time Off Types, Time Sheets, Geofences, OMS Kiosks, Pay Periods and Staffs, Reimbursements, Work Codes, Equipment; 2. Calendar; 3. Call Outs.]]></description>
      <pubDate>Thu, 16 Oct 2025 17:02:36 GMT</pubDate>
      <guid>https://trid.trb.org/View/2608099</guid>
    </item>
    <item>
      <title>Call 2021 Remote Condition Monitoring of Physical Road Assets Final Programme Report</title>
      <link>https://trid.trb.org/View/2563653</link>
      <description><![CDATA[Rapid innovative technological changes are creating opportunities as well as challenges for road authorities and asset managers. There has been a surge in the development of technological solutions and systems, some claiming to solve the problems that asset owners face. The availability of these alternative solutions allows asset owners to start thinking differently. However, transitioning to new solutions poses a substantial challenge, in that it is difficult for asset owners to evaluate the best possible technological options that will add value to their Asset Management. However, to both move forward and keep up with the future change, a continuous evaluation process needs to be embedded as business practice. The aim of this programme has been to undertake research into new technologies for the remote monitoring and inspection of physical road assets, and to provide advice on implementing new techniques as business practice. This report provides information for European Directors of Roads (CEDR) that can be useful for designing and implementing future projects, in terms of uptake and embedment of results and how national road authorities (NRAs) can engage in and use the outputs of the project.]]></description>
      <pubDate>Tue, 24 Jun 2025 17:13:56 GMT</pubDate>
      <guid>https://trid.trb.org/View/2563653</guid>
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    <item>
      <title>Experiences in the Use of Digital Construction Management in the Highway Industry</title>
      <link>https://trid.trb.org/View/2536201</link>
      <description><![CDATA[Digital Construction Management (DCM) builds upon a variety of emerging and existing technologies and techniques, including 3D Modeling, e-Construction, Digital As-Builds, e-ticketing, Unmanned Aerials Systems (UAS), Smart Work Zone Project Coordination, and Strategic Workforce Development innovations. DCM helps State Highway Agencies (SHAs) and industry integrate electronic construction management processes to enhance safety, efficiency, and effectiveness of highway construction. The integration of these tools has occurred at various levels and with different SHAs and industry partners. Documenting and communicating adoption of innovations throughout the highway community will assist in the accelerated deployment of the innovation, techniques, consistency, and methods of integration for DCM. The benefits of this domestic scan are the identification and accelerated deployment of proven DCM configurations, highlighting organizational characteristics that demonstrate institutional readiness with success in the adoption and implementation of innovative technologies and techniques. As these practices are deployed nationally, they assist transportation agencies having an equitable workforce to deliver a safe, timely, and quality highway construction program. Through survey, workshop, and group discussion, the technical panel of the Domestic Scan identified attributes among agencies that have achieved success in effectively implementing DCM innovations. The Domestic Scan team anticipated that success on an organizational level could have a cascading effect, offering valuable insights for other SHAs and local transportation agencies seeking to implement and expand the use of DCM within their construction programs. Applying the lessons learned, avoiding pitfalls, employing alternative approaches, and improving preparation and planning for implementation efforts can help mitigate potential risks and costs associated with adopting new technologies.]]></description>
      <pubDate>Sun, 13 Apr 2025 17:34:50 GMT</pubDate>
      <guid>https://trid.trb.org/View/2536201</guid>
    </item>
    <item>
      <title>Call 2019 Renewable Energy in Road Infrastructure Final Programme Report</title>
      <link>https://trid.trb.org/View/2509394</link>
      <description><![CDATA[The ENROAD project "Supporting the implementation by NRAs of renewable energy technologies in road infrastructure" is a pioneering initiative funded through the Transnational Road Research Programme, Call 2019 “Renewable Energy in Road Infrastructure”, of the Conference of European Directors of Roads (CEDR). At its core, the ENROAD project is driven to furnish National Road Authorities (NRAs) with technical and regulatory knowledge as a basis to build a user-friendly tool carefully designed to facilitate the long-term seamless integration of renewable energy (RE) technologies into the road infrastructure. To catalyse the implementations of RE projects, the ENROAD project adopts a multi-faceted approach, which includes the identification of typical NRA asset topologies and a comprehensive survey of existing renewable technologies suitable for energy generation, and a review of the energy storage systems that are potentially applicable by NRAs. Notably, wind energy (small and large scale) and solar PV energy generation emerge as frontrunners in this project. Furthermore, an exhaustive analysis of prevailing and prospective regulations across targeted nations, alongside stakeholder consultations, was undertaken to obtain information on existing opportunities, challenges, and regulatory frameworks. In addition, an advanced geographic information systems (GIS)-based decision-making tool was developed to facilitate a first approach to NRAs in the selection of RE technologies and locations.]]></description>
      <pubDate>Tue, 25 Feb 2025 13:51:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2509394</guid>
    </item>
    <item>
      <title>Report on Agency Survey and National Bridge Inventory Analysis for Damaged Steel Girders</title>
      <link>https://trid.trb.org/View/2452781</link>
      <description><![CDATA[Bridge strikes—events where over-height vehicles impact bridge superstructures—are common across the United States and pose significant challenges for bridge owners. When a bridge strike occurs, bridge owners must assess the damage and determine what, if any, action is required. A survey of state highway agencies was conducted, and 23 responses were received. States reported general metrics about low-clearance bridges and bridge strikes, and data from the National Bridge Inventory were analyzed to provide additional insight. States also reported information about inspection, analysis, and repair practices for damaged girders. Overall, reported practices vary greatly between states and rely significantly on engineering judgement; there is potential to improve efficiency and efficacy. Results can be used to inform future research directions regarding steel girders damaged in bridge strikes, such as innovative methods for damage inspection, assessment, and repair.]]></description>
      <pubDate>Tue, 19 Nov 2024 14:38:09 GMT</pubDate>
      <guid>https://trid.trb.org/View/2452781</guid>
    </item>
    <item>
      <title>Quality Assurance Stewardship Review, Summary Report 2019-2023</title>
      <link>https://trid.trb.org/View/2440276</link>
      <description><![CDATA[The current program of Quality Assurance Stewardship Reviews was established by the Federal Highway Administration (FHWA) in fiscal year (FY) 2003 to assess agency quality assurance (QA) practices. By the end of 2017, all 52 State highway agencies (SHA) including Puerto Rico and the District of Columbia had undergone at least one review. This Summary Report summarizes the findings of the 17 SHA reviews completed in calendar years 2019 through 2023. Previous summaries of Quality Assurance Stewardship Reviews can be downloaded from the FHWA Pavement Publications – QA webpage. The Quality Assurance Stewardship Reviews were a joint effort involving the SHA personnel along with FHWA personnel from Headquarters, the Resource Center, and the Federal-aid Division Offices. Materials practices were examined at the SHA’s headquarters, region/district, and construction project level locations. The observations and findings from the Quality Assurance Stewardship Review program continue to play an important part in the FHWA’s oversight role. These reviews of SHA QA programs allow the FHWA to identify and assess risks to the Federal-aid program. The reviews also provide an avenue to FHWA for the promotion and education of SHAs on new technologies.]]></description>
      <pubDate>Wed, 06 Nov 2024 09:19:23 GMT</pubDate>
      <guid>https://trid.trb.org/View/2440276</guid>
    </item>
    <item>
      <title>Peer Exchange for Improving Accuracy of the Engineer’s Estimate for Highway Improvement Projects</title>
      <link>https://trid.trb.org/View/2408347</link>
      <description><![CDATA[The Wisconsin Department of Transportation hosted a peer exchange in 2021 to discuss topics related to improving procedures for developing the engineer’s estimate. The goal was to improve accuracy of engineers’ estimates by providing a forum for the exchange of ideas, lessons learned, and opportunities for the development of state-to-state relationships for continued improvements. Before the peer exchange, invited State Highway Agencies (SHAs) were asked to fill out an online survey to obtain preliminary information about their estimating procedures and practices, organizational approach, measurements of estimating accuracy and bidding history. Representatives from 16 SHAs responded to the survey and representatives from 11 SHAs and the Federal Highway Agency participated in the peer exchange. This article presents the results of the survey and a summary of the discussions during the peer exchange so that other SHAs can learn from them. The peer exchange provided a summary of the state of practice of the SHAs in preparing the engineer’s estimate and identified the following list of most impactful factors for differences between the engineer’s estimate and bidding results: low bid competition, geographic location, outdated data used in historical bid-based estimating, shortage of skilled workers and time, and market volatility. Discussions during the peer exchange uncovered how individual SHAs are approaching and dealing with these factors and those results are presented in the article. Other SHAs will benefit from the summaries of other SHAs’ current practices and the action items Wisconsin Department of Transportation identified resulting from the peer exchange.]]></description>
      <pubDate>Tue, 30 Jul 2024 09:53:05 GMT</pubDate>
      <guid>https://trid.trb.org/View/2408347</guid>
    </item>
    <item>
      <title>The Statistical Approach to Quality Control in Highway Construction: Research Guides</title>
      <link>https://trid.trb.org/View/2406651</link>
      <description><![CDATA[This publication is intended primarily to assist State highway departments in planning research programs to establish quantitative values of statistical parameters for highway materials and processes. These parameters are needed to apply statistical concepts to quality control in highway construction. This publication also includes background information concerning the development of an overall plan for application of the statistical approach to quality control in highway construction.]]></description>
      <pubDate>Sat, 27 Jul 2024 12:11:36 GMT</pubDate>
      <guid>https://trid.trb.org/View/2406651</guid>
    </item>
    <item>
      <title>Call 2020 Impact of CAD on Safe Smart Roads Final Programme Report</title>
      <link>https://trid.trb.org/View/2399811</link>
      <description><![CDATA[The Conference of European Directors of Roads (CEDR) Transnational Road Research Call 2020 Impact of Connected and Automated Driving (CAD) on Safe Smart Roads funded two projects, with the aim to prepare the national road authorities on future challenges of connectivity, digitalization and automation to get to an autonomously well-managed traffic flow: (1)  DiREC – DIgital Road for Evolving Connected and Automated Driving, and (2) TM4CAD – Traffic Management for Connected and Automated Driving. Both projects started in September 2021, but finished a half year apart from each other, TM4CAD in March 2023 and DiREC in August 2023. The project’s results, open questions and next steps for implementation are summarized in this report.]]></description>
      <pubDate>Mon, 08 Jul 2024 09:08:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2399811</guid>
    </item>
    <item>
      <title>Artificial Intelligence Opportunities for State and Local DOTs: A Research Roadmap</title>
      <link>https://trid.trb.org/View/2394413</link>
      <description><![CDATA[In recent years, significant advancements in artificial intelligence (AI) have profoundly impacted the field of transportation research. Most modern approaches use data-driven methods to find efficient solutions and draw key inferences. These methods promise real-time inference while achieving human-level accuracies. One of the most notable breakthroughs has been in the realm of autonomous vehicles. These vehicles can perceive their surroundings, make real-time decisions, and navigate complex urban environments. Moreover, AI has revolutionized traffic management and optimization. Through predictive analytics and real-time data processing, AI systems show promise in alleviating congestion, reducing travel times, and enhancing overall safety by alerting drivers to potential hazards. Additionally, AI-driven simulations are used for testing and improving transportation systems, saving time and resources that would otherwise be needed for physical tests. These recent advancements not only promise more efficient and safer transportation but also pave the way for innovative solutions in public transit, logistics, and urban planning, ultimately reshaping the way we move and interact with our environments. However, to unleash the power of AI in transportation and use it for public good, we need every sector in transportation to strategically adopt methods and tools from AI. In this project, the authors specifically discussed possible steps for state and local departments of transportation (DOTs) to adopt AI in their pipeline. The authors explored a large corpus of literature to study the complexity and maturity at the intersection of AI and transportation. The authors also held discussions with DOT personnel through multiple workshops and interview sessions to understand their needs in infrastructure, workforce, and the desired solution space. As a result of this process, the authors have identified strategies that may help DOTs and facilitate the progressive inclusion of AI solutions. This project was executed through six tasks. This includes a detailed literature review from the past 11 years of research at the intersection of AI and transportation. The authors also reviewed 100 research projects from the TRB database and summarized their trends and outcomes. The project team then performed outreach activities through interviews and workshops to understand the current state of practice, challenges, vulnerabilities, and research priorities at DOTs while focusing on AI-based applications and incorporation of AI in practice. Findings from the literature review and the outreach activities, along with the U.S. government’s current strategic plan for AI deployment, helped the authors to develop 11 research need statements that will help DOTs to assimilate the benefit of AI in their regular workforce. These statements were discussed with DOT personnel and NCHRP panel members for further refinements. Finally, the authors proposed a dissemination plan for the research need statements where the authors discussed possible partners, a tentative timeline, and potential challenges.]]></description>
      <pubDate>Mon, 17 Jun 2024 11:58:47 GMT</pubDate>
      <guid>https://trid.trb.org/View/2394413</guid>
    </item>
    <item>
      <title>Statistical Analysis and Representation Models of Calendar-Day Liquidated Damages</title>
      <link>https://trid.trb.org/View/2359314</link>
      <description><![CDATA[When projects suffer noncompletion, state highway agencies (SHAs) may trigger liquidated damage (LD) provisions, and at times, contractors may challenge their enforceability. Normally, to be compensated for the costs expected during the delay, states design the LD schedules by associating LD rates to specific contract sizes. A review of the literature found that states varied significantly in the LD schedule designs. However, no studies have explored the relationship between the LD rates and contract sizes (LDR-CS) across states. Exploring this relationship could lead to identifying the underlying model of the relationship, explaining how states vary the LD rates against contract sizes, running comparative analyses of the states’ LD schedules, and designing optimal LD schedules, among other potential benefits. To realize these benefits, the objectives of this work were to (1) statistically explore and characterize the LDR-CS relationship, and (2) develop a representative model of the relationship. To achieve these objectives, descriptive, box–whisker, and cluster analyses were performed to characterize the relationship, and regression analysis was utilized to search for the best-fit representation model. The relationship was found to be challenging; it had a unique L-shape, and was modeled successfully only using transformed nonlinear regression. The research results could facilitate performing LD comparative analysis among states, help SHAs assess and build confidence in their LD rates, and help update and optimize LD schedule designs. This work contributes to the body of knowledge with new statistical dimensions to comprehend the LDR-CS relationship, providing tables, charts, and transformed nonlinear models.]]></description>
      <pubDate>Thu, 16 May 2024 16:37:55 GMT</pubDate>
      <guid>https://trid.trb.org/View/2359314</guid>
    </item>
    <item>
      <title>Road Infrastructure Management - the Perspective of the Local Roads Authority</title>
      <link>https://trid.trb.org/View/2230954</link>
      <description><![CDATA[This paper presents the results of research conducted among 100 local government units performing the duties of road network administrators, i.e., administrators of municipal roads (AMR), county roads (ACR) and those operating within the boundaries of cities with county rights (ACCR). The aim of the research was to identify and assess management problems related to the implementation of statutory measures related to the protection and development of respective road networks. A hypothesis was formulated about the existence of statistically significant differences between the AMR, ACR and ACCR groups, which was verified by quantitative analysis of the data obtained from the online survey. They were analysed and interpreted using the SPSS package and using measures of descriptive statistics, the correlation coefficient and the Kruskal–Wallis test by ranks. The results of the study indicate that the difficulties of providing and maintaining an efficient road network pavement, as well as the challenges of developing draft financing plans for the construction, reconstruction, and rehabilitation of the road network, are currently the main points of focus for all road administrators. The lack of statistical significance of intergroup differences was observed in the vast majority of measurements. The exceptions to this were the differences that occurred in the total number of difficulties reported, which were greater among the members of AMR and ACR than ACCR, as well as the differences related to the implementation of measures undertaken for the maintenance of roadside greenery, which were more onerous for ACR.]]></description>
      <pubDate>Fri, 19 Apr 2024 09:48:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2230954</guid>
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