U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Artificial Intelligence Deployment Center of Excellence (AI COE)

rosaP Repository & Open Science Access Portal

The AI COE Collection is a central resource for transportation stakeholders that may aid in deployment of safe and responsible AI in surface transportation. The collection will feature current and emerging resources, innovations, and technologies. For more information on the AI COE, go to https://highways.dot.gov/ai-coe.

(46)
(108)
(140)
(123)
(89)
(107)
0 of 6
(1)
(1)
(5)
(1)
(2)
(2)
(1)
(1)
(1)
(1)
(1)
(2)
(3)
(1)
(1)
(1)
(1)
(4)
(2)
(1)
(1)
(1)
(1)
(1)
(2)
(2)
(3)
(2)
(1)
(4)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(4)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(2)
(4)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(4)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(3)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(4)
(2)
(1)
(1)
(1)
(1)
(3)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(3)
(1)
(4)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(3)
(1)
(1)
(1)
(7)
(1)
(1)
(1)
(3)
(1)
(1)
(1)
(5)
(1)
(1)
(2)
(3)
(3)
(1)
(1)
(1)
(4)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(3)
(1)
(1)
(2)
(1)
(1)
(2)
(2)
(1)
(2)
(2)
(1)
(2)
(1)
(1)
(1)
(1)
(2)
(2)
(2)
(1)
(2)
(2)
(2)
(1)
(1)
(2)
(16)
(2)
(1)
(1)
(2)
(5)
(1)
(1)
(3)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(4)
(4)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(2)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(3)
(1)
(1)
(2)
(1)
(2)
(1)
(2)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(3)
(1)
(1)
(2)
(1)
(1)
(2)
(1)
(2)
(1)
(1)
(2)
(3)
(2)
(1)
(1)
(3)
(1)
(1)
(1)
(2)
(3)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(4)
(1)
(1)
(1)
(1)
(1)
(1)
(3)
(2)
(1)
(3)
(1)
(4)
(1)
(1)
(4)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(3)
(2)
(2)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(3)
(1)
(1)
(2)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(2)
(1)
(2)
(1)
(1)
(1)
(1)
(2)
(1)
(2)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(4)
(1)
(1)
(1)
(5)
(1)
(1)
(2)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(2)
(1)
(1)
(1)
(1)
(2)
(2)
(1)
(2)
(1)
(4)
(2)
(1)
(1)
(2)
(1)
(2)
(1)
(1)
(2)
(1)
(2)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(4)
(1)
(2)
(5)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(2)
(2)
(1)
(1)
(1)
(8)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(2)
(1)
(1)
(1)
(3)
(1)
(1)
(4)
(1)
(1)
(1)
(1)
(1)
(4)
(1)
(1)
(1)
(2)
(1)
(1)
(3)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(6)
(2)
(4)
(3)
(3)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(2)
(2)
(1)
(4)
(2)
(1)
(2)
(7)
(8)
(1)
(2)
(1)
(2)
(1)
(1)
(1)
(2)
(1)
(3)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(3)
(2)
(1)
(1)
(1)
(2)
(1)
(1)
(2)
(2)
(1)
(3)
(1)
(1)
(6)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(2)
(1)
(2)
(1)
(1)
(2)
(1)
(1)
(3)
(2)
(1)
(1)
(1)
(2)
(1)
(2)
(2)
(1)
(3)
(3)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(5)
(2)
(1)
(3)
(1)
(3)
(2)
(1)
(1)
(1)
(5)
(1)
(1)
(1)
(1)
(1)
(3)
(2)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(1)
(2)
(1)
(1)
(1)
(1)
(1)
(4)
(1)
(1)
(2)
(1)
(4)
(2)
(1)
(1)
(1)
(1)
(2)
(8)
(1)
(1)
(4)
(1)
(2)
(2)
(4)
(2)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(5)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(14)
(2)
(3)
(3)
(2)
(3)
(2)
(5)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(5)
(2)
(4)
(4)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(4)
(2)
(2)
(2)
(2)
(2)
(4)
(5)
(3)
(2)
(15)
(5)
(2)
(2)
(2)
(4)
(2)
(4)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(8)
(2)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(4)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(6)
(4)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(3)
(2)
(2)
(2)
(3)
(3)
(5)
(2)
(3)
(3)
(4)
(2)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(3)
(4)
(2)
(2)
(2)
(3)
(2)
(2)
(6)
(2)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(4)
(2)
(2)
(2)
(2)
(2)
(2)
(5)
(2)
(2)
(2)
(2)
(2)
(3)
(2)
(2)
(2)
(3)
(2)
(3)
(2)
(2)
(2)
(2)
(6)
(3)
(2)
(2)
(2)
(2)
(2)
(2)
(2)
(5)
(2)
(4)
0 of 1000
(2)
(83)
(2)
(57)
(1)
(1)
(3)
(3)
(7)
(1)
(5)
(448)
0 of 12
Showing 21 - 40 of 613 results
  • Challenges to the Monitoring of Deployed AI Systems Center for AI Standards and Innovation
    Challenges to the Monitoring of Deployed AI Systems: Center for AI Standards and Innovation
    Rao, Anita ;
    Keller, Andrew
    2026-03-06 | PDF
    As artificial intelligence (AI) systems are increasingly integrated into commercial and government applications, there is a growing need to monitor these systems in real-world settings. Although pre-deployment evaluations are valuable for assessing AI system capabilities at multiple points prior to release, they are predominantly conducted in contr ...
  • Artificial Intelligence for Pavement Condition Assessment From 2D3D Surface Images
    Artificial Intelligence for Pavement Condition Assessment From 2D/3D Surface Images
    Wang, Feng ;
    Gong, Haitao
    2026-03-01 | PDF
    The development of a national standard data format for two-dimensional/three-dimensional (2D/3D) pavement surface images and Artificial Intelligence (AI) Machine Learning (ML) in Computer Vision adopted by AASHTO and embraced by state DOTs has provided TxDOT the opportunity to develop new methods for automated pavement condition assessment. This re ...
  • Cybersecurity of NextGeneration Traffic Signal Control With CAVs
    Cybersecurity of Next-Generation Traffic Signal Control With CAVs
    Stern, Raphael ;
    Kiani, Amirhossein
    2026-03-01 | PDF
    This report explores cyber vulnerabilities that exist in new approaches for actuated traffic flow management where individual connected and automated vehicles share information about their arrival to a reinforcement learning based traffic signal. Using this approach, potential cyberattacks include false data injection attacks, where vehicles report ...
  • Development of a Framework for Identifying Asphalt Pavement Cracking Distresses Using Machine Learning Research Brief
    Development of a Framework for Identifying Asphalt Pavement Cracking Distresses Using Machine Learning [Research Brief]
    Cheng, DingXin
    2026-03-01 | PDF
    The research team developed and tested a prototype machine learning (ML) framework to automate the identification of asphalt pavement cracking. The framework combines deep learning and image processing, trained using a large dataset of annotated pavement images collected from California roadways. Each image was labeled according to standardized dis ...
  • Security Defense of Transportation Networks Against Cyberattacks A PhysicsInformed AI Approach
    Security Defense of Transportation Networks Against Cyberattacks: A Physics-Informed AI Approach
    Kim, Yongju ;
    Chen, Sikai
    2026-03-01 | PDF
    Connected and automated vehicles (CAVs) rely on digitally acquired traffic state information for real-time maneuver decisions, making them vulnerable to cyberattacks that manipulate perceived traffic states or communication channels. Such manipulation can subtly alter vehicle behavior and, in interactive traffic environments, may propagate disturba ...
  • Development of a Framework for Identifying Asphalt Pavement Cracking Distresses Using Machine Learning
    Development of a Framework for Identifying Asphalt Pavement Cracking Distresses Using Machine Learning
    Cheng, DingXin
    2026-03-01 | PDF
    Asphalt pavement cracking is one of the most critical distresses affecting pavement performance and service life. When pavement deteriorates, it can lead to safety hazards, higher vehicle maintenance costs, and expensive repairs for cities and states-making early detection essential for everyone who relies on the roadway system. To address this cha ...
  • Enhance Bridge Image Attribution Through Automated Post Image Processing
    Enhance Bridge Image Attribution Through Automated Post Image Processing
    Attanayake, Upul ;
    Battu, Naveen
    2026-02-28 | PDF
    Highway agencies and consultants capture thousands of images during biennial, scoping, and request for action (RFA) inspections. Most of these files are stored with limited descriptions or inconsistent naming formats. As a result, a rich data source is underutilized. Understanding the value of this rich data source for asset management, MDOT initia ...
  • Finite Element Method FEM Matrix Study for Rapid Travel Profiler CurlWarp Correlations
    Finite Element Method (FEM) Matrix Study for Rapid Travel Profiler Curl/Warp Correlations
    Haider, Syed Waqar ;
    Ahmed, Hanan
    2026-02-28 | PDF
    Temperature-induced curling and moisture-driven warping continually reshape jointed concrete pavements (JCP), altering wheel-path profiles and affecting the International Roughness Index (IRI). This report presents an integrated framework combining finite element method (FEM) analyses, artificial neural networks (ANNs), and IRI modeling to isolate ...
  • RampCast Phase II Connected Vehicles Traffic Management Application on Indiana Highways
    RampCast Phase II: Connected Vehicles Traffic Management Application on Indiana Highways
    Mathew, Abin ;
    Sundar, Agnideven Palanisamy
    2026-02-23 | PDF
    This project advances connected vehicle applications by developing and testing an enhanced RampCast system, a comprehensive traffic management system using C-V2X technology for Indiana highways. The system features a dual-mode architecture integrating both short-range (PC5) and long-range cellular (Uu) Cellular Vehicle-to-Everything (C-V2X) communi ...
  • Expanding the AI Evaluation Toolbox with Statistical Models
    Expanding the AI Evaluation Toolbox with Statistical Models
    Keller, Drew ;
    Kwegyir-Aggrey, Kweku
    2026-02-17 | PDF
    Benchmarks are widely used to evaluate and compare the performance of artificial intelligence systems. However, some approaches to computing benchmark metrics produce invalid uncertainty estimates or make unrecognized assumptions about the evaluation setting. We leverage statistical modeling to make two contributions to the practice of AI benchmark ...
  • Artificial Intelligence Literacy Framework
    Artificial Intelligence Literacy Framework
    Mack, Henry ;
    Stockton, Taylor
    2026-02-13 | PDF
    The Department of Labor (DOL or Department) is issuing this AI Literacy Framework to provide a common foundation to guide AI literacy efforts for workers, employers, training providers, teachers and faculty, state and local agencies, and other workforce and education system stakeholders. The framework identifies foundational content areas and deliv ...
  • Benchmarking Computer VisionBased Approaches To Derive EngineeringOriented Condition From Existing UDOT Assets Data
    Benchmarking Computer Vision-Based Approaches To Derive Engineering-Oriented Condition From Existing UDOT Assets Data
    Pandey, Shailaja Ratna ;
    Esteghamati, Mohsen Zaker
    2026-02-01 | PDF
    Condition assessment of how transportation infrastructure supports safe and reliable road and highway operation. Departments of Transportation across the country rely heavily on manual inspections, which are time-consuming and costly. This study evaluated whether modern computer vision (CV) methods can support traffic sign condition assessment alon ...
  • Creating a Data Science Competition for Intersection Safety Systems Insights from the US DOT Intersection Safety Challenge Stage 1B System Assessment and Virtual Testing
    Creating a Data Science Competition for Intersection Safety Systems - Insights from the U.S. DOT Intersection Safety Challenge Stage 1B System Assessment and Virtual Testing
    Goli, Mohammad ;
    Townsend, Haley
    2026-02-01 | PDF
    To assess the technological maturity of data fusion and artificial intelligence (AI) capabilities of intersection safety systems (ISS), the U.S. DOT designed the Intersection Safety Challenge Stage 1B: System Assessment and Virtual Testing as a data science competition. For this data science competition, the U.S. DOT collected and provided real-wor ...
  • Automated Detection of Ground Deformation on Alabama Highways Using Remote Sensing
    Automated Detection of Ground Deformation on Alabama Highways Using Remote Sensing
    Khosravi, Ali ;
    Ghorbani, Zahra
    2026-02-01 | PDF
    Ground deformation poses a significant risk to Alabama's transportation infrastructure, particularly along highway corridors affected by landslides, embankment settlement, and hydrologically driven slope movement. This study develops and demonstrates an integrated satellite-based monitoring framework that combines multi-scale Interferometric Synthe ...
  • Pedestrian and Bicyclist Safety at HighwayRail Grade Crossings Assessment of Crash Predictions Year 2 ReportPhase II Report
    Pedestrian and Bicyclist Safety at Highway-Rail Grade Crossings - Assessment of Crash Predictions (Year 2 Report/Phase II Report)
    Khattak, Aemal J. ;
    Aman, M. Naveed
    2026-01-31 | PDF
    This report presents results of a multi-state effort to improve pedestrian and bicyclist safety at highway-rail grade crossings (HRGCs) by explicitly incorporating non-motorist traffic exposure into crash prediction models. Building on an AI-based video pipeline from previous research, empirical non-motorist counts from 18 rail crossings in Lincoln ...
  • Assessment of Temperature Correction Factors for Falling Weight Deflectometer Deflections
    Assessment of Temperature Correction Factors for Falling Weight Deflectometer Deflections
    Iglesias, Pablo Orosa ;
    Li, Jin
    2026-01-16 | PDF
    This study presents the development of an improved temperature correction methodology for falling weight deflectometer (FWD) deflections in full-depth asphalt pavements. The objective was to address the limitations of existing correction methods by integrating viscoelastic pavement behavior, structural properties, and realistic thermal gradients. F ...
  • Using Electric Vehicle Onboard Data for Pavement Quality Assessment and Management
    Using Electric Vehicle Onboard Data for Pavement Quality Assessment and Management
    Stern, Raphael ;
    Nouhi, Shaghayegh
    2026-01-01 | PDF
    This project investigated the feasibility of using electric vehicle onboard diagnostics (OBD-II) data for pavement quality assessment in Minnesota, inspired by Denmark's Live Road Assessment (LiRA) project. The research addressed the critical need for cost-effective, continuous pavement monitoring to supplement expensive instrumented vehicle survey ...
  • Traveler Information Technologies in the National Park System
    Traveler Information Technologies in the National Park System
    Maciejak, Emily ;
    Flanagan, Paul
    2026-01-01 | PDF
    This report details completed and ongoing traveler information-focused Intelligent Transportation System (ITS) deployments on National Park Service (NPS) lands. It reviews six ITS technologies areas - data feeds, mobility data, vehicle-to-everything (V2X) technology, machine learning and artificial intelligence, geofenced alerts, and physical infra ...
  • Artificial Intelligence and Its Role and Use Within State DOTs
    Artificial Intelligence and Its Role and Use Within State DOTs
    Egge, Mark ;
    Tate, Syndney
    2026-01-01 | PDF
    Artificial Intelligence (AI) is increasingly shaping the way state Departments of Transportation (DOTs) approach both research and daily operations. This powerful technology creates new opportunities for improving efficiency, supporting decision-making, and streamlining agency workflows, but it also presents new challenges, including concerns about ...
  • Improved Signalized Intersection Performance Using Computer Vision and Artificial Intelligence Technical Summary
    Improved Signalized Intersection Performance Using Computer Vision and Artificial Intelligence [Technical Summary]
    Moomen, Milhan ;
    Codjoe, Julius
    2026-01-01 | PDF
    The objective of this project was to develop and evaluate artificial intelligence (AI)-based computer vision tools for intersection performance analysis. The specific objectives were to: • Develop a vehicle counting framework based on detection-tracking-counting pipeline for accurate turn-movement measurements; • Develop an integrated framework for ...
21 - 40 / 613
 Found an issue?
Send us an email at: publishinghd@cdc.gov