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 1 - 20 of 613 results
  • Towards Comprehensive Safety Assurance of a DAL A AIMLbased Runway Alignment System using Overarching Properties
    Towards Comprehensive Safety Assurance of a DAL A AI/ML-based Runway Alignment System using Overarching Properties
    Paul, Saswata ;
    Prince, Daniel
    2026-07-01 | PDF
    This report details an Overarching Properties (OPs)-based approach for assuring the safety of Artificial Intelligence/Machine Learning (AI/ML)-based digital aerospace systems. To rigorously evaluate and enhance this approach, an AI-Assisted Autonomous Runway Alignment (AARA) system is introduced as a motivating use case, allowing for the identifica ...
  • Development of an MLBased Georgia Pavement Structural Condition Evaluation System
    Development of an ML-Based Georgia Pavement Structural Condition Evaluation System
    Tsai, Yichang (James) ;
    Yang, Zhongyu
    2026-07-01 | PDF
    Georgia's aging interstate highway network requires more reliable pavement evaluation to support maintenance and rehabilitation (M&R) planning. Current network-level practices rely primarily on surface condition data, which can lead to project-level cost overruns when structural deficiencies are discovered only after budgets have been defined from ...
  • MultiDimensional TimeBased Track Safety and Quality Index in Support of Autonomous Track Geometry Inspection
    Multi-Dimensional Time-Based Track Safety and Quality Index in Support of Autonomous Track Geometry Inspection
    Palese, Joseph W. ;
    Zarembski, Allan M.
    2026-07-01 | PDF
    In this research, the Federal Railroad Administration (FRA) sponsored a team from the University of Delaware to develop a multidimensional, time-based Track Safety and Quality Index (TSQI) for assessing and monitoring the condition of railway tracks. The index captures the temporal dependencies and uncertainties associated with track parameters by ...
  • Evaluation of Steel Bridge Girders Damaged by OverHeight Vehicle Strikes Using Terrestrial Laser Scanning and Machine Learning
    Evaluation of Steel Bridge Girders Damaged by Over-Height Vehicle Strikes Using Terrestrial Laser Scanning and Machine Learning
    Ibrahim, Ahmed E. ;
    Schissler, Limo R.
    2026-07-01 | PDF
    Bridge strikes caused by over-height vehicles frequently damage steel girders and can reduce their load-carrying capacity, requiring rapid and reliable evaluation to ensure structural safety. Current evaluation practices rely on manual measurements that often require traffic disruptions and simplified assessment approaches that do not fully capture ...
  • SMART METRO Implementation Report
    SMART METRO [Implementation Report]
    Broward County Metropolitan Planning Organization (Florida)
    2026-06-02 | PDF
    The Broward Metropolitan Planning Organization (BMPO) will plan, design, and develop a cloud-based digital twin platform prototype to unify regional data across agency and departmental silos. The "SMART METRO" prototype leverages advanced systems integration and artificial intelligence technology to synthesize and analyze transportation, land use, ...
  • Improved Signalized Intersection Performance Using Computer Vision and Artificial Intelligence
    Improved Signalized Intersection Performance Using Computer Vision and Artificial Intelligence
    Moomen, Milhan ;
    Meng, Xiangyu
    2026-06-01 | PDF
    Signalized intersections are critical points in urban transportation networks where congestion, delays, and safety risks are most prominent. Traditional approaches for performance evaluation rely on manual field counts, loop detectors, or expensive infrastructure-based systems, which are often limited in accuracy, scalability, and adaptability. Thi ...
  • Artificial Intelligence Deployment Center of Excellence AI COE Brief
    Artificial Intelligence Deployment Center of Excellence (AI COE) [Brief]
    United States. Department of Transportation. Federal Highway Administration
    2026-06-01 | PDF
    The Federal Highway Administration (FHWA) is establishing the Artificial Intelligence Deployment Center of Excellence (AI COE) to provide national leadership for AI research, technology, and knowledge transfer in surface transportation.
  • Artificial Intelligence Deployment Center of Excellence AI COE Flyer
    Artificial Intelligence Deployment Center of Excellence (AI COE) [Flyer]
    United States. Department of Transportation. Federal Highway Administration
    2026-06-01 | PDF
    The Federal Highway Administration's (FHWA's) Artificial Intelligence (AI) Deployment Center of Excellence (COE) serves as a national resource to guide AI adoption across surface transportation. Together with public agencies, external experts, and multisector steering committees, the AI COE will deliver decisive value by helping transportation prof ...
  • Development of UASEnabled Bridge Deck Inspection System From Investigation to Implementation
    Development of UAS-Enabled Bridge Deck Inspection System From Investigation to Implementation
    Almasi, Pouya ;
    Zhang, Qianyun
    2026-05-31 | PDF
    We introduce a pilot study that is geared towards inaugurating a UAS-centric bridge inspection program, operating on a component-level approach, with the overarching goal of enhancing the caliber of bridge inspection methodologies within the confines of New Mexico. The envisioned program encompasses the formulation of UAS-based inspection strategie ...
  • Conduct Friction Testing Program Data Analysis and Effectiveness of Open Graded Friction Course
    Conduct Friction Testing Program, Data Analysis, and Effectiveness of Open Graded Friction Course
    Biswas, B S Pushpendue ;
    Tarefder, Rafi
    2026-05-25 | PDF
    This report evaluates the use of skid number (SN) data for pavement friction management in New Mexico. The study reviews current pavement friction practices, consolidates historical NMDOT Locked Wheel Skid Trailer (LWST) data, develops roadway class specific SN thresholds, and assesses SN variability, risk, and monitoring adequacy. SN records were ...
  • AIPowered Community Insights for Strategic Physical Transportation Infrastructure Management
    AI-Powered Community Insights for Strategic Physical Transportation Infrastructure Management
    Kennebeck, Kathryn A. ;
    Smetana, Mason
    2026-05-05 | PDF
    This study examines how community feedback can inform transportation asset management, a field that has traditionally relied on physical condition metrics such as pavement age and roughness. Using 925 public comments collected by the Southwestern Pennsylvania Commission, the study applies a semi-automated workflow combining generative AI, natural l ...
  • Measuring the LastMile A Comprehensive Evaluation of Synthesis Approaches to Address Data Gaps for Local Freight DecisionMaking Phase 1
    Measuring the Last-Mile: A Comprehensive Evaluation of Synthesis Approaches to Address Data Gaps for Local Freight Decision-Making (Phase 1)
    Conway, Alison ;
    Grossberg, Michael
    2026-05-01 | PDF
    The purpose of this study is to comprehensively review the current landscape of freight data available for local agency decision-making, to identify existing data gaps and limitations that inhibit data-driven decision-making, and to identify relevant machine learning, mathematical modeling, and generative AI approaches to address these gaps. Specif ...
  • Exploring TopDown Visual Attention for Transportation Behavior Analysis Probing TopDown Attention Mechanisms in VisionLanguage Models for Pedestrian Behavior Analysis
    Exploring Top-Down Visual Attention for Transportation Behavior Analysis: Probing Top-Down Attention Mechanisms in Vision-Language Models for Pedestrian Behavior Analysis
    AbdulRahman, Bilal ;
    Chen, Gong Qi
    2026-05-01 | PDF
    Human action recognition is relevant to a number of interactions that occur in transportation systems, including those between a driver and their vehicle, between drivers and pedestrians, and between other humans and existing vehicles or traffic control devices. As action recognition systems scale to handle complex urban environments, understanding ...
  • Development of a New VisionEval Land Use Model and Applications to Evaluate Climate Strategies in Oregon
    Development of a New VisionEval Land Use Model and Applications to Evaluate Climate Strategies in Oregon
    Wang, Liming ;
    Gregor, Brian
    2026-05-01 | PDF
    This project upgraded the land use module for the VisionEval framework to enhance the evaluation of integrated transportation and land use policies and their impacts. The project developed a new strategic land use model utilizing NHTS and Smart Location Database data from 2011 and 2019, applying advanced statistical and machine learning methods to ...
  • Artificial Intelligence Acquisitions Agencies Should Collect and Apply Lessons Learned to Improve Future Procurements
    Artificial Intelligence Acquisitions: Agencies Should Collect and Apply Lessons Learned to Improve Future Procurements
    Russell,William ;
    Wright, Candice N.
    2026-04-13 | PDF
    Industry leads AI development, reportedly investing over $250 billion in 2024 alone. Federal agencies are finding many opportunities to use AI to execute their missions. They already use AI for veteran services, enhancements to weapon systems, and administrative tasks. To realize the benefits of AI, federal agencies often contract with companies to ...
    Supporting Files
  • Laser Triangulation and Deep Neural Networks for Rail Safety Inspections Phase 2 Framework for Isolating and Reporting Track Changes
    Laser Triangulation and Deep Neural Networks for Rail Safety Inspections - Phase 2: Framework for Isolating and Reporting Track Changes
    de Oliveira Lima, Arthur ;
    Edwards, J. Riley
    2026-04-07 | PDF
    This research builds upon previous FRA-funded studies using the LRAIL 3D laser triangulation scanning system and Deep Convolutional Neural Networks (DCNNs) to identify track health attributes. The focus lies on developing technology-agnostic methodologies for processing LRAIL data, catering to diverse end-users in the railway sector. At the compone ...
  • Steel Corrosion in Underground Transportation Infrastructure Research Brief
    Steel Corrosion in Underground Transportation Infrastructure [Research Brief]
    Morsy, Amr M. ;
    Janardhanan, Shiv K.
    2026-04-01 | PDF
    This research examined soil resistivity and corrosivity by studying several key factors that influence how buried steel corrodes. Three studies were conducted as part of this research, which used new experimental and analytical methods:(1) experimental evaluation of soil resistivity in controlled, constant conditions using a newly devised experimen ...
  • Artificial Intelligence for Pavement Condition Assessment From 2D3D Surface Images Technical Summary Report
    Artificial Intelligence for Pavement Condition Assessment From 2D/3D Surface Images [Technical Summary Report]
    Wang, Feng ;
    Gong, Haitao
    2026-03-31 | PDF
    The project started with reviewing the literature of available datasets, established AI models and practices in the U.S. and other countries. The research team investigated the acquisition of high-resolution images with American Association of Highway and Transportation Officials (AASHTO) standard MP47 and created a tool for viewing the vendor's da ...
  • Development of a Machine Learning and Large Language ModelBased Classification Tool for Automated Analysis of Transportation Public Comments
    Development of a Machine Learning and Large Language Model-Based Classification Tool for Automated Analysis of Transportation Public Comments
    Knezevic, Milan ;
    Neece, Trevor
    2026-03-30 | PDF
    Transportation agencies receive large volumes of free-form public comments describing infrastructure conditions, safety concerns, and service issues. Processing and classifying these comments manually is time-consuming, inconsistent, and difficult to scale, limiting their usefulness for operational decision-making. This study presents a machine lea ...
  • Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset]
    Cui, Qingbin
    2026-03-28 | JSON
    This repository contains curated dataset and inference results used in the study: "AI-powered bridge defect detection and condition assessment using drone-collected visual data."Contents:1. curated_dataset_images_annotations: Annotated images with YOLO-format labels for eight defect classes.2. curated_inference_results_images: Model predictions on ...
    Dataset Supporting Files
1 - 20 / 613
 Found an issue?
Send us an email at: publishinghd@cdc.gov