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    <title>Research in Progress (RIP)</title>
    <link>https://rip.trb.org/</link>
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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>Research in Progress (RIP)</title>
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      <link>https://rip.trb.org/</link>
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    <item>
      <title>Fare-Free Futures: The Diffusion of Youth Fare-Free Transit Programs in the U.S.</title>
      <link>https://rip.trb.org/View/2784731</link>
      <description><![CDATA[Youth and student populations represent a critical but underexamined segment for long-term public transit ridership growth in the United States. In response, transit agencies have started offering free or reduced fare programs for youth as a strategy to increase ridership and reduce transportation costs. However, there is currently no comprehensive, national-level understanding of how and why these programs are being adopted, nor what organizational and structural factors enable or constrain their implementation. This project evaluates the adoption and diffusion of youth fare-free programs across U.S. transit agencies. The research team will identify agencies across rural, suburban, and urban areas, determine their program status, and distribute surveys to a stratified sample to examine factors such as funding, staffing capacity, political support, and institutional readiness. The research team will analyze these data to understand what enables or constrains adoption across stages of implementation. The expected results include a clearer understanding of adoption patterns, key drivers and barriers, and conditions that support program success. Findings will inform transit agencies and policymakers by supporting more consistent evaluation practices and guiding future policy and funding strategies. More broadly, this project will support efforts to improve system performance, increase ridership, and expand access to transportation for youth.]]></description>
      <pubDate>Thu, 01 Oct 2026 13:28:00 GMT</pubDate>
      <guid>https://rip.trb.org/View/2784731</guid>
    </item>
    <item>
      <title>State of Project review Nationwide DOT use of GIS for Environmental Planning and Compliance. AZTI FY2026-C1-PS1</title>
      <link>https://rip.trb.org/View/2780405</link>
      <description><![CDATA[The proposed project will conduct a nationwide state-of-the-practice review of geographic information systems (GIS) applications for environmental planning and compliance while working closely with Arizona Department of Transportation (ADOT) TAC and EPG personnel. The project will evaluate peer DOT practices, assess ADOT’s existing datasets and workflows, identify implementation barriers and opportunities, and co-develop a practical GIS framework, governance strategy, and implementation roadmap tailored to ADOT’s needs and priority. The resulting framework will support improved environmental screening, compliance tracking, data management, and cross-program coordination while providing a foundation for future GIS modernization.  ]]></description>
      <pubDate>Fri, 18 Sep 2026 16:58:16 GMT</pubDate>
      <guid>https://rip.trb.org/View/2780405</guid>
    </item>
    <item>
      <title>Artificial Intelligence Policies at State Departments of Transportation: The State of the Practice</title>
      <link>https://rip.trb.org/View/2780402</link>
      <description><![CDATA[To support the Arizona Department of Transportation’s (ADOT) development of an agency-wide Artificial Intelligence (AI) policy, this project will document the state of the practice across U.S. DOTs, highlighting both adopted policy frameworks and implementation experiences. The effort is especially timely given Arizona’s P2000 Generative AI Policy, which requires agencies to define acceptable AI uses and ensure proper governance. The study will provide ADOT with actionable recommendations for policy design and implementation that both align with P2000 requirements and reflect the unique mission of a transportation agency. ]]></description>
      <pubDate>Fri, 18 Sep 2026 16:47:50 GMT</pubDate>
      <guid>https://rip.trb.org/View/2780402</guid>
    </item>
    <item>
      <title>How and to what extent do Vision Zero plans address safety for different road user groups?</title>
      <link>https://rip.trb.org/View/2778264</link>
      <description><![CDATA[Since the early 2010s, many U.S. cities have adopted vision zero plans to enhance traffic safety. Vision zero plans aim to eliminate traffic fatalities and severe injuries. A critical question remains, for whom are vision zero plans improving safety? Answering this question is a crucial first step toward enhancing traffic safety for different road user groups. So far, however, there has been little research on how and to what extent vision zero plans address safety for different road user groups.

In this study, the research team proposes a systematic review of vision zero plans of the 100 largest U.S. cities to evaluate (1) How the plan-making process included different road user groups, including vulnerable road users. (2) How the plans accounted for differences in traffic risks through its analysis. (3) How the plans’ recommendations accounted for different road user groups within the Safe System framework. And (4) How the plans accounted for different road user groups in their outcome evaluations. The goal of the project is to (1) Identify the best practices of including different road user groups in vision zero plans. And (2) Identify the challenges of project deployment strategies to ensure safety for different road user groups. To complement the plan review, the team will also interview planners and experts who were involved in vision zero plan-making for additional insight, including planners in the Office of Transportation and Infrastructure Systems in the City of Philadelphia.

The findings will help cities reevaluate their approaches to traffic safety planning and design better strategies to ensure the deployment of projects that are aimed to enhance safety for different road user groups. ]]></description>
      <pubDate>Thu, 17 Sep 2026 17:14:34 GMT</pubDate>
      <guid>https://rip.trb.org/View/2778264</guid>
    </item>
    <item>
      <title>Enhancing Transportation Policy and Planning for Safety</title>
      <link>https://rip.trb.org/View/2778221</link>
      <description><![CDATA[Transportation policy studies and improved planning are essential for furthering goals of the University Transportation Centers and the US Department of Transportation.  This project is intended to build upon long-standing and successful activities in these areas.  Three tasks are envisioned.  
First, the research team will continue to produce policy briefs and professional papers on safety and enhancing usage of battery electric vehicles (BEV).  In their 2024-2025 Safety21 project, a forthcoming policy brief and papers were developed on light duty BEV safety and policies to enhance adoption of BEV (Naiek 2024, Harper 2024, Hendrickson 2025).  Safety concerns addressed included BEV fires, vehicle weight and stopping distance.  Enhancing adoption was informed from ownership characteristics compiled from the 2022 National Household Travel Survey and existing purchase subsidies (Wang 2024).  In 2025-2026, the team proposes to extend this work to other vehicle types (notably trucks) and a focus on workforce training, particularly vehicle technicians and first responders to crashes and environmental hazards (such as floods).  BEV have particular needs for avoiding electrical shocks and short circuits.  The team expects to contribute to a series of policy briefs on BEV in the next year.
Second, the team will continue activities intended to promote adoption of effective vehicle automation.  In their 2024-2025 project, the team actively participated in National Academies of Science, Engineering and Medicine (NASEM) studies on road safety research (NASEM 2024), critical issues in transportation (NASEM 2024), a global Council of Academies of Engineering and Technological Societies (CAETS) study on the e-mobility transformation (ICAETS 2024), and an empirical study of partial automation impacts.  The weekly Safety21 Smart Transportation Dispatch (produced by project participant Karen Lightman) features safety improvements due to new technologies.  In the coming year, the team plans to actively comment on proposed federal and state rules regarding automation, respond to requests for information, and track performance of partial automation vehicles in a policy brief.  This coming year has several likely rule-making activities, potential vehicle manufacturer announcements on partial automation, examination of the TESLA driving system, and possible implementation of the NASEM 2024 study recommendations.  Monitoring and influencing these changes is a challenging task.
Third, project participants will continue to work with Regional Industrial Development Corporation (RIDC) in the planning for Pennsylvania Safety Transportation and Research Track (PennSTART), a safety, training and research facility for autonomous vehicle testing and emergency responders.  The results of both tasks 1 and 2 can help inform appropriate test scenarios for PennSTART.
PennSTART capital expenditures will be used for project match.  Carnegie Mellon researchers include Chris Hendrickson (Hamerschlag University Professor of Engineering Emeritus), Corey Harper (Assistant Professor of Civil and Environmental Engineering), and Karen Lightman (Executive Director of Safety21 UTC).  
Full references appear in a supplemental information document due to space limitations here.]]></description>
      <pubDate>Thu, 17 Sep 2026 14:00:59 GMT</pubDate>
      <guid>https://rip.trb.org/View/2778221</guid>
    </item>
    <item>
      <title>Local Tax on Dyed Fuels: Possible Revenue and Implementation Strategies</title>
      <link>https://rip.trb.org/View/2689755</link>
      <description><![CDATA[In rural areas throughout the U.S., in addition to standard gasoline and diesel fuel, “dyed fuel” is also available for purchase. This type of fuel, which is typically 28 to 98 cents less expensive per gallon, is not taxed because it is supposed to be used only for vehicles that do not use the local road systems. However, many of these vehicles, such as farm and construction equipment used in areas (e.g. liquid manure spreaders, grain carts, feed trucks, combine harvesters, excavators, etc.…) are much heavier than the average personal vehicle, and often use secondary roads for moving such equipment. These vehicles damage the many rural paved and unpaved roads. As such, those who maintain these roads systems do not have sufficient financial resources to repair these ongoing damages due to this lack of income from taxes. There is therefore an opportunity to consider methods of applying a local fee structure on the use of dyed fuel, to help to recuperate the cost of maintaining secondary road systems. This research will focus on assessing, first, the current state of this challenge, including a literature review and survey of the use of dyed fuels. Next, interviews of stakeholders will seek to identify the state of the challenges associated with dyed fuel use and to assess the support and/or resistance to establishing an additional mechanism to recuperate funds. It will then propose possible methods to address this challenge, supported by financial and policy analysis on the impact of each. 

The idea for this proposal originated directly from county engineers, specifically personnel in Iowa drove the development of the initial idea of this proposed effort, which was further strongly supported by Arizona DOT personnel. These individuals are responsible for maintaining local transportation infrastructure. These conversations made it clear that especially rural counties have significant infrastructure maintenance costs that in many cases are greater than the available funds. The proposed work is specifically designed to evaluate the scope of these challenges, and work with stakeholders to identify solutions. The Iowa Highway Research Board has already voted to provide a full one-to-one match in support of this proposed effort. They have expressed clear support and enthusiasm for the project, noting that counties across Iowa—and likely many other states—stand to benefit from a structured evaluation of needs and practical mechanisms that work toward implementation pathways. This underscores strong confidence in potential impacts.  ]]></description>
      <pubDate>Thu, 10 Sep 2026 09:18:44 GMT</pubDate>
      <guid>https://rip.trb.org/View/2689755</guid>
    </item>
    <item>
      <title>Designing Flexible Vehicle Efficiency Regulations for Light-Duty Vehicles</title>
      <link>https://rip.trb.org/View/2775563</link>
      <description><![CDATA[Improving the efficiency of the vehicle fleet and diversifying available vehicle technologies are critical strategies for strengthening transportation system resilience and reducing dependence on imported fuels. One type of public policy to achieve these goals is performance-based regulations, which act upstream in the supply chain by requiring vehicle manufacturers to meet a specified standard across a fleet. A key feature of modern vehicle regulations is the inclusion of flexible design mechanisms that allow manufacturers to choose among multiple compliance pathways. These mechanisms—such as credit trading and banking—are intended to reduce compliance costs and improve policy acceptability. However, despite their widespread use, there is limited systematic understanding of how these design features are defined, their rationale for implementation, and how they influence regulatory outcomes. This project will develop a comprehensive framework for understanding and designing flexible vehicle efficiency regulations. The work will identify flexible design mechanisms embedded in global vehicle efficiency regulations, analyze how different policy design features influence compliance costs and cost distribution across manufacturers, and provide policy-relevant guidance for designing efficient, durable, and adaptable vehicle regulations. ]]></description>
      <pubDate>Wed, 09 Sep 2026 15:23:32 GMT</pubDate>
      <guid>https://rip.trb.org/View/2775563</guid>
    </item>
    <item>
      <title>Integrating Microsimulation in a Multi-scale Local Freight Activity Model</title>
      <link>https://rip.trb.org/View/2775057</link>
      <description><![CDATA[This project builds on results from prior TBD Center projects to advance the development of a multi-scale, synthetic data-based simulation framework for evaluating urban freight policy and infrastructure interventions. While prior phases enabled representation of total activity within a traffic analysis zone (TAZ), they do not yet represent location- or segment-specific activity within the zone. However, many urban freight interventions of interest to local cities — such as street design changes, lane or signal prioritization, parking and loading regulations, and segment-specific access controls — require this more detailed granularity. This Phase 3 study aims to address this gap.

The aim of this project is to define a simulation framework that could integrate TAZ-scale vehicle activity inputs, be implemented within a TAZ at a population scale to simulate segment-level activities, and be adaptable to simulate multiple local decision types. This project phase has three objectives: (1) to identify best-available microsimulation approaches for evaluating micro-scale freight interventions; (2) to assess the utility of machine learning approaches — in particular reinforcement learning — to improve upon static decision-assignment processes within these simulations; and (3) to develop a scalable and adaptable framework for microsimulation of freight interventions that integrates TAZ-scale truck paths with high-resolution segment-level activity. Key project tasks include: a comprehensive synthesis of existing freight microsimulation studies, feasibility analysis of reinforcement learning for freight operator route choice and behavioral modeling, development of a proposed graph structure for simulating varied freight-related interventions within a traffic microsimulation model, and evaluation of common simulation tools (e.g., VISSIM, SUMO) to assess their native capability to represent the proposed graph structure.]]></description>
      <pubDate>Fri, 04 Sep 2026 15:04:06 GMT</pubDate>
      <guid>https://rip.trb.org/View/2775057</guid>
    </item>
    <item>
      <title>Peak Pricing for Runway and Gate Capacity Management</title>
      <link>https://rip.trb.org/View/2772556</link>
      <description><![CDATA[Growing demand for air travel and increasing schedule peaking are placing sustained pressure on runway and gate capacity at major U.S. airports. At many facilities, peak-period demand, rather than total daily activity, is the primary driver of operational inefficiency and capital expansion needs. Existing airport rate-setting frameworks are primarily designed for cost recovery and generally do not provide incentives for airlines to shift operations outside peak periods or optimize gate utilization. While differentiated landing charges, time-of-day pricing, and gate utilization fees have been used internationally, their applicability within the United States is uncertain because of federal grant assurances, revenue-use requirements, anti-discrimination standards, and airline use and lease agreements.

The objective of this research is to develop a comprehensive report on congestion pricing mechanisms applicable to runway and gate capacity management at U.S. airports. The research will evaluate pricing mechanisms used at selected international airports, assess their regulatory permissibility under U.S. law and policy, examine potential impacts on airline behavior and airport operations, identify alternative approaches to managing peak demand, and provide practical implementation guidance and decision-support tools for airport sponsors considering airside congestion pricing strategies.]]></description>
      <pubDate>Tue, 01 Sep 2026 11:59:04 GMT</pubDate>
      <guid>https://rip.trb.org/View/2772556</guid>
    </item>
    <item>
      <title>Assessment of Establishing an NDOT Aeronautics Division and Identification of Sustainable Funding Mechanisms</title>
      <link>https://rip.trb.org/View/2739295</link>
      <description><![CDATA[The Nevada Department of Transportation (NDOT) current aviation program provides an important foundation through statewide aviation planning, airport system coordination, safety inspections, and administration of the Nevada State Airport System Plan. At the same time, many aviation and aerospace-related responsibilities are distributed across multiple organizations, including NDOT, the Nevada Governor's Office of Economic Development (GOED), federal agencies, airport authorities, and local governments. 
This distributed structure reflects Nevada’s historical approach to aviation and aerospace development. NDOT has primarily supported planning, inspections, and coordination, while GOED has historically administered air service development activities, supported airline recruitment, coordinated route development initiatives, and advanced aviation and aerospace-related economic development. As aviation technologies, rural airport needs, military operations, unmanned aircraft systems (UAS) testing, and advanced air mobility (AAM) opportunities continue to evolve, Nevada must determine how these responsibilities should be organized, coordinated, funded, and implemented to support statewide transportation and economic development objectives. 
A key question facing Nevada is how aviation and aerospace responsibilities should be organized among NDOT, GOED, federal agencies, airport authorities, local governments, and other stakeholders to best support the state’s transportation, economic development, innovation, and long-term aviation objectives. Effective statewide aviation programs require clear governance structures, defined authority boundaries, reliable coordination mechanisms, sustainable funding, and organizational capacity. These elements have not yet been comprehensively evaluated within Nevada’s current institutional, statutory, and funding environment.
OBJECTIVE: The primary objective of this project is to provide NDOT with a comprehensive, evidence-based assessment of organizational, operational, governance, and funding approaches that can support Nevada's current and future aviation responsibilities. The assessment will evaluate a range of implementation options, including the potential establishment of an Aeronautics Division, while identifying sustainable funding strategies and practical pathways for long-term aviation, UAS, and emerging aviation program development. The research will equip NDOT leadership and policymakers with actionable information needed to evaluate organizational, operational, financial, and governance considerations associated with assuming expanded aeronautics responsibilities within the state of Nevada.
]]></description>
      <pubDate>Thu, 30 Jul 2026 12:30:56 GMT</pubDate>
      <guid>https://rip.trb.org/View/2739295</guid>
    </item>
    <item>
      <title>Automated Vehicle (AV) Pooled Fund Study (PFS) Phase 2</title>
      <link>https://rip.trb.org/View/2734822</link>
      <description><![CDATA[Automated Vehicles (AVs) are an emerging technology that will dramatically change the transportation system, potentially reducing crashes, expanding access, and promoting sustainability, safety, and efficiency. With over 41 states actively advancing AV testing, research, policy, and planning, state departments of transportation face challenges understanding what strategies and actions are needed to prepare for this evolution in emerging technology. While many states are advancing strategic plans and roadmaps, strategies vary and ideas of what it means to be implementation ready differ. The original Automated Vehicle (AV) Pooled Fund Study (PFS) [TPF-5(453)] started in 2020 to collaboratively coordinate funding, strategies and research to help State DOTs understand their role in this changing environment, and how to proactively prepare. The objectives of this new pooled fund study, AV PFS Phase 2, are to continue and expand on the achievements of TPF-5(453). The key goals of the AV PFS Phase 2 are to conduct research that supports the following items: (1) Infrastructure readiness: What infrastructure investments do DOTs need to be making to plan and prepare for AVs; (2) Operations: How do AVs impact operations, traffic safety and maintenance; (3) Policy frameworks: What laws and policies do states need to enact to develop clear, more uniform policy across regions to avoid a patchwork approach; (4) Interstate freight and multi-modal harmonization – How can DOTs advance freight harmonization and interstate networks to support autonomous delivery; (5) Workforce development: How do we skill the current and future workforce for new technologies, processes and impacts; (6) Communications and engagement: How do we message this work to internal and external stakeholders and engage partners, industry and communities; (7) Partnerships: How can infrastructure owner-operators (IOOs) partner with industry, researchers, communities and non-profits to plan for this unknown future; (8) Strategic investment: How can IOOs make strategic investments with limited resources that plan for emerging technology and AV innovation; (9) Planning: How should DOTs plan for AV technology in the short and long-term horizons How can DOTs follow trends and develop shared future scenarios; (10) Industry forum: How can we develop a collaborative forum where states together can meet with AV industry to share ideas and learn about industry goals similar to the CAT Coalition’s IOO-OEM forum.]]></description>
      <pubDate>Thu, 23 Jul 2026 14:52:23 GMT</pubDate>
      <guid>https://rip.trb.org/View/2734822</guid>
    </item>
    <item>
      <title>A Comprehensive Analysis of EV Charging Demand Prediction, Infrastructure Planning, and Power Network Resilience in the Era of Electric Mobility</title>
      <link>https://rip.trb.org/View/2732354</link>
      <description><![CDATA[Electric vehicles (EVs) have emerged as an appealing transportation mode due to their exceptional energy efficiency and minimal emissions. Therefore, it is necessary to equip government agencies with adept strategies for integrating the increasing EV market share into their transportation and energy networks. This research project has three pivotal objectives aimed at effectively addressing the challenges of EV adoption: predicting the future EV charging demands, providing policy recommendations for EV charging infrastructure planning aligned with charging demands and the capacities of transportation and power networks, and integrating diverse charging options, including public charging stations, home chargers, and innovative overnight park-and-charge facilities. To accomplish these, the project will first employ daily travel patterns from travel survey data, probabilistic models capturing charging randomness, and EV market share from literature to precisely predict charging demand. Then, a two-level mixed integer linear programming will be utilized to optimize the deployment of charging infrastructure while minimizing the long-term investment cost and congestion in the transportation network, considering the power network capacity. The results of the optimization problem will be used to derive the policy recommendations. Finally, the integration of overnight park-and-charge, home chargers, and public charging facilities into the planning problem will determine their optimal locations, capacities, and associated costs. This project will have a multitude of impacts. The prediction of EV charging demand, efficient planning of charging infrastructure, and provision of various charging options can facilitate the adoption of EVs, thus expediting the transition towards more efficient transportation systems. The introduction of innovative overnight park-and-charge facilities can promote access to EVs. The optimization of charging infrastructure planning also has the potential to mitigate traffic congestion and improve power grid resilience.
Infrastructure planners, such as the local department of transportation and utility companies, will consult all outcomes of this project when siting and sizing new charging stations and innovative overnight park- and-charge facilities.
]]></description>
      <pubDate>Tue, 21 Jul 2026 16:23:22 GMT</pubDate>
      <guid>https://rip.trb.org/View/2732354</guid>
    </item>
    <item>
      <title>Cannabis Use and Fitness-for-Duty Standards for Aviation Personnel</title>
      <link>https://rip.trb.org/View/2724767</link>
      <description><![CDATA[The Federal Aviation Administration (FAA) Office of Aerospace Medicine faces an urgent need to establish clear, scientifically defensible, and operationally actionable fitness-for-duty standards for pilots and air traffic control specialists (ATCS) in the context of evolving federal cannabis policy. Recent federal actions, including Executive Order 14370 and subsequent partial rescheduling of cannabis, have created a dual-status regulatory environment (Schedule I recreational vs. Schedule III medical use), while DOT drug testing and FAA medical certification standards remain unchanged. This misalignment introduces significant operational risk by: (1) increasing the likelihood and normalization of cannabis use; (2) complicating disclosure and compliance; and (3) leaving the FAA without validated criteria to determine when individuals are no longer impaired. The central policy question is: Following cannabis use, what elapsed time ensures both (1) absence of operational impairment and (2) compliance with DOT drug testing requirements? Due to the urgency of near-term policy decisions and the inability to conduct new primary research in the required timeframe, the FAA requires structured, policy-relevant interpretation of existing scientific evidence. This project will deliver that capability through a National Academies–facilitated expert meeting series over ~12 months, enabling FAA policy development and implementation within 12–18 months.
]]></description>
      <pubDate>Tue, 07 Jul 2026 09:41:54 GMT</pubDate>
      <guid>https://rip.trb.org/View/2724767</guid>
    </item>
    <item>
      <title>SPR 781 Optimizing SCDOT’s Permitting, Mitigation, and Compliance Systems to Improve Project Delivery</title>
      <link>https://rip.trb.org/View/2719301</link>
      <description><![CDATA[The overarching goal of Phase III is to optimize South Carolina Department of Transportation's (SCDOT’s) permitting, mitigation, and compliance
systems by leveraging emerging technologies. The objectives are to (1) maintain the existing
applications and enhance them through feedback from SCDOT users and consultants, (2) migrate
the geographic information system (GIS) applications to Experience Builder for improved functionality, (3) update the e-permitting
app to align with upcoming regulatory changes, (4) develop standardized templates for permit
drawings, and (5) explore emerging technologies to check the permit drawings and provide
feedback on errors and required changes, predict wetland impacts for future projects, and autogenerate National Environmental Policy Act (NEPA) applications classified as Categorial Exclusions.]]></description>
      <pubDate>Thu, 25 Jun 2026 08:53:55 GMT</pubDate>
      <guid>https://rip.trb.org/View/2719301</guid>
    </item>
    <item>
      <title>Cybersecurity Analysis to Support Secure Transportation Cyber-Physical Systems</title>
      <link>https://rip.trb.org/View/2696948</link>
      <description><![CDATA[This project is designed to strengthen transportation cybersecurity in an era where artificial intelligence (AI)-enabled and AI-enhanced cybercrime is increasingly capable of scaling deception, automation, and attack sophistication against cyber-physical systems. The project builds directly on the team’s prior legislative gap analysis and the development of TraCR AI, a retrieval-augmented large language model that helps transportation officials and policy makers identify applicable legal obligations and compare regulatory approaches across jurisdictions. The central technical contribution is the development and testing of a modular defensive wrapper for transportation-focused large language model (LLM) and retrieval augmented generation (RAG) tools, intended to detect and mitigate adversarial attacks that exploit legal reasoning systems and to support a testbed for LLM-targeted cybercrime scenarios. In parallel, the project includes legal and policy research that assesses gaps in US frameworks for addressing AI-enabled cybercrime and draws on international examples to inform best practices for governance, enforcement, and secure deployment. The overall objective is to produce deployable defenses and practitioner-facing guidance that improve trustworthiness in AI-assisted compliance and policy analysis for critical transportation infrastructure.]]></description>
      <pubDate>Wed, 29 Apr 2026 16:33:03 GMT</pubDate>
      <guid>https://rip.trb.org/View/2696948</guid>
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