Document Library

The Colorado Department of Transportation’s Resilience Improvement Plan (RIP) outlines the agency’s efforts to proactively manage risks and strengthen the state’s transportation infrastructure against natural and human-made hazards. Rooted in lessons from the 2013 flood disaster, the plan highlights CDOT’s Risk and Resilience Program and its commitment to minimizing disruptions and adapting to changing conditions, including those driven by climate change. It also aligns with national initiatives like the PROTECT program under the Bipartisan Infrastructure Law, integrating resilience into both short- and long-term planning. Through ongoing updates and data-driven strategies, the CDOT RIP serves as a framework for maintaining a safe, reliable, and adaptive transportation system.

The aim of this study is to create a manual that will aid airports in establishing and sustaining a procedure for the handover of asset information. This includes the acceptance of new and replacement physical assets vital to major airport stakeholders. Asset information encompasses, but is not limited to, electronic data, blueprints, and operations and maintenance (O&M) details.

The manual should at least cover the following aspects:

• A list of recommended assets and associated data that airports should keep track of;
• The identification and coordination with individuals and entities that use or provide this asset information;
• Best practices for the oversight and documentation of the asset information handover process;
• Case studies showcasing a variety of airport sizes, types, and levels of experience; and
• A narrative aimed at airport executives, discussing how to implement the asset handover process effectively, including the necessary staff support.

This is a companion document to NCHRP Report 1122: Implementing Machine Learning at State Departments of Transportation.

This report provides an overview of how state Departments of Transportation (DOTs) are meeting federal requirements for annual reporting on their Transportation Asset Management Plans (TAMPs). The study, conducted in September 2024, analyzes consistency reports from multiple states, examining their approaches to reporting on asset inventory and condition, risks, funding, and narrative explanations. It highlights variability in reporting practices, discusses common elements and best practices, and offers insights into potential improvements for future reporting. The report is useful for state DOT officials, federal highway administrators, and anyone involved in transportation asset management and performance reporting.

Over the past two decades, machine learning—the leading branch of artificial intelligence—has risen rapidly on the strength of exploding data volumes, cheaper storage and computation, and continual algorithmic breakthroughs. Deep-learning techniques and generative AI systems such as ChatGPT are now transforming day-to-day business practices. Yet state and local transportation agencies are drowning in new data streams faster than they can translate them into actionable insight. TRB’s NCHRP Research Report 1122, *Implementing Machine Learning at State Departments of Transportation: A Guide*, equips DOTs with a primer on promising ML use cases, tools for weighing costs, benefits, risks, and constraints, and a roadmap for fostering the data-driven culture needed to scale these capabilities across transportation programs.

Advancements in connected and automated vehicle (CAV) technologies present new challenges for Traffic Incident Management (TIM) and emergency responders (ERs), particularly due to limited information sharing among stakeholders. NCHRP Research Report 1104 offers essential resources and communication tools to enhance collaboration and understanding between CAV developers, TIM personnel, and ERs. The report equips responders and those in the TIM community with strategies and insights to effectively engage with the evolving CAV landscape.

The Minnesota Resilience Improvement Plan (RIP) is MnDOT’s first statewide roadmap for strengthening the transportation network against climate-driven hazards such as heavy precipitation, flooding, extreme temperatures, and freeze-thaw cycles. Informed by historical data, future projections, and statewide vulnerability mapping, the plan positions MnDOT and regional partners to leverage roughly \$121 million in PROTECT formula funds while guiding project selection and design through climate-focused criteria. It lays out three pillars—site-specific resilience projects, policy and design updates, and communication and education initiatives—to embed climate considerations into daily practice. Progress will be tracked through performance measures on adaptation, asset condition, and weather impacts, with biennial project-list updates and a comprehensive plan refresh slated for 2026.

The operation of connected and autonomous vehicle (CAV) technology is expected to impact various components such as traffic control devices, markings, signals, guardrails, computing systems, and communication infrastructure, both on a permanent and temporary basis. It is crucial for state transportation departments to pinpoint deficiencies in understanding and expertise, and to ready themselves for the hurdles of deploying CAV technologies while ensuring that the current road network continues to function at a satisfactory service level.

Artificial intelligence (AI) has become a powerful force in transportation departments, particularly for managing and streamlining traffic flow. By using real-time data and predictive analytics, AI solutions can ease congestion, decrease travel times, and enhance safety through early hazard detection. In addition, AI-driven simulations offer a cost-effective method for evaluating and refining transportation networks, reducing the need for extensive physical testing.

Critical Issues in Transportation: 2024 and Beyond calls for reassessing the role of transportation in addressing major societal challenges and the research that informs the choices that society will need to make in 2024 and coming years. This reassessment is driven by large-scale environmental, public health, and socioeconomic forces. The report focuses on five societal goals: 1) Mitigating and responding to climate change, 2) Promoting equity and inclusion, 3) Increasing road safety, 4) Advancing public health, and 5) Building and sustaining a strong, competitive economy. Transportation is essential for achieving all of these societal goals.

The objective of this research is to develop a guide for state DOTs and other transportation planning agencies to understand, predict, plan for, and adapt to the potential impacts of emerging disruptive technologies. In preparing this guide, the research should identify issues, effects, and opportunities at the intersection of disruptive transportation technologies and organizational performance for senior managers at state DOTs and other transportation planning agencies.

The Massachusetts Department of Transportation (MassDOT) has developed this 2023 update to its Transportation Asset Management Plan (TAMP) to document its progress toward a long-term state-of-good repair (SOGR) in its pavement and bridge assets. This TAMP complies with 23 CFR 515.7, which calls for state departments of transportation (DOTs) to develop and implement a 10-year risk-based asset management plan for pavement and bridge assets on the National Highway System (NHS). MassDOT has chosen to include in the TAMP all pavement and bridges on the NHS (regardless of owner) and all pavement and bridges owned by MassDOT (regardless of NHS status).