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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.

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Showing 81 - 100 of 613 results
  • Beyond the Conventional Exploring Pedestrian Safety on Interstates with Bayesian and Machine Learning Models
    Beyond the Conventional: Exploring Pedestrian Safety on Interstates with Bayesian and Machine Learning Models
    Usman, Sheikh M. ;
    Khattak, Asad J.
    2025-09-01 | PDF
    Despite being prohibited from walking on freeways per federal laws, 14% to 17% of all pedestrian crashes in the United States happen on the interstates. Examining these crashes within the context of the safe systems approach is essential, with an emphasis on mitigating safety risks for all road users. This study investigates the correlates of pedes ...
  • Effects of Extreme Climate Shifts to Pavement Infrastructure in Tennessee
    Effects of Extreme Climate Shifts to Pavement Infrastructure in Tennessee
    Onyango, Mbakisya ;
    Fomunung, Ignatius
    2025-09-01 | PDF
    Resilient pavement infrastructure is a dream of every transportation agency. Many factors affect the health of pavement infrastructure to include extreme climate shifts. This study evaluated the effects of climate shifts to pavement infrastructure in Tennessee. The study used AASHTOWare PMED software to predict distresses on selected pavement secti ...
  • Automating Variable Speed Limits Using Weather Traffic and Friction Data
    Automating Variable Speed Limits Using Weather, Traffic and Friction Data
    Petzke, Bill ;
    Wang, Hao
    2025-09-01 | PDF
    Variable speed limits (VSL) are useful in promoting highway safety. According to the Federal Highway Administration (FHWA), "the use of VSLs during inclement weather or other less than ideal conditions can improve safety by decreasing the risks associated with traveling at speeds that are higher than appropriate for the conditions." The project's r ...
  • An Intelligent HumanCentric Communication System for Adverse Weather and Road Conditions
    An Intelligent Human-Centric Communication System for Adverse Weather and Road Conditions
    Demir, Ibrahim ;
    Sermet, Yusuf
    2025-09-01 | PDF
    Adverse weather conditions present significant risks to motorists, making safe navigation challenging. Artificial intelligence (AI) advancements have facilitated the development of intelligent systems to address these concerns. This project introduces Conversational AI for Road Weather Information Systems (CARWIS), an AI-powered solution that provi ...
  • Wildfire Emergency Response and Evacuation Framework Using Drones Phase I
    Wildfire Emergency Response and Evacuation Framework Using Drones: Phase I
    Kulhandjian, Hovannes
    ORCID ICON IMG
    2025-09-01 | PDF
    Wildfires are escalating in frequency and severity due to climate change, posing increasing threats to human life, infrastructure, and ecosystems. Traditional wildfire management systems struggle to respond effectively to rapidly evolving fire conditions. This research presents a novel, AI-powered Wildfire Emergency Response and Evacuation Framewor ...
  • VisionBased Detection of Bridge Damage Captured by Unmanned Aerial Vehicles
    Vision-Based Detection of Bridge Damage Captured by Unmanned Aerial Vehicles
    Stegagno, Paolo ;
    Gindy, Mayrai
    2025-09-01 | PDF
    Bridge inspection is a vital component of any bridge management strategy of a state DOT. Significant funds are allocated to keeping the over 600,000 bridges in the U.S. safe. A routine bridge inspection is the most common type of inspection and is often performed from deck, ground or water levels or from permanent access structures, if available. V ...
  • Track Intrusion Detection and Track Integrity Evaluation Year 2
    Track Intrusion Detection and Track Integrity Evaluation - Year 2
    Qian, Yu ;
    Tang, Youzhi
    2025-09-01 | PDF
    Track intrusion, especially trespassing within railroad rights-of-way, poses a major safety risk, causing more fatalities than train-vehicle collisions. Existing methods often struggle with real-time detection on edge devices. This study introduces YOLO-RCNN, a novel model integrating YOLO-FG for comprehensive object detection and segmentation, opt ...
  • Wildfire Emergency Response and Evacuation Framework Using Drones Phase I Research Brief
    Wildfire Emergency Response and Evacuation Framework Using Drones: Phase I [Research Brief]
    Kulhandjian, Hovannes
    ORCID ICON IMG
    2025-09-01 | PDF
    This study develops and tests an autonomous drone-based system for wildfire detection, evacuation planning, and search and rescue operations. The drone network features cutting edge technology such as advanced infrared (IR) cameras, visible spectrum imaging, LiDAR sensors, and onboard computing capabilities powered by NVIDIA Jetson AGX Orin process ...
  • Nighttime Pedestrian Safety in Different Communities Application of Artificial Intelligence Techniques
    Nighttime Pedestrian Safety in Different Communities: Application of Artificial Intelligence Techniques
    Usman, Sheikh M. ;
    Khattak, Asad J.
    2025-09-01 | PDF
    Pedestrian safety is a growing concern in the United States transportation sector, with around 7500 pedestrian crash fatalities reported in the US in 2021. Pedestrians are at an even higher risk of crashes at night due to limited visibility and alcohol impairment of the drivers or pedestrians. The United States Department of Transportation (USDOT) ...
  • Traffic DisruptionFree Bridge Inspection Initiative with Robotic Systems Research Summary
    Traffic Disruption-Free Bridge Inspection Initiative with Robotic Systems [Research Summary]
    Chen, Genda ;
    Harper, Jennifer
    2025-09-01 | PDF
    The research team evaluated 59 bridges in diverse types, age groups, and geographical locations. Best practices of the technologies were developed and summarized in inspection protocols and guidelines using commercial drones, structural crawlers, and hybrid uncrewed vehicles. Bridge inspection protocols and guidelines are presented in three parts: ...
  • Traffic DisruptionFree Bridge Inspection Initiative with Robotic Systems
    Traffic Disruption-Free Bridge Inspection Initiative with Robotic Systems
    Chen, Genda ;
    Shi, Zhenhua
    2025-09-01 | PDF
    The current practice of bridge inspection requires the use of snooper trucks and, when parked on bridges, the control of passing traffic, thus causing an operation safety concern for both passengers and inspectors. It also leads to inherently subjective and qualitative results. This pooled-fund study aims to develop case studies on the deployment a ...
  • Feasibility Study of Unmanned Aerial Vehicle Imagery for Mapping Roadside Milkweeds and Nectaring Plants for the Monarch Butterfly
    Feasibility Study of Unmanned Aerial Vehicle Imagery for Mapping Roadside Milkweeds and Nectaring Plants for the Monarch Butterfly
    Pringle, Elizabeth ;
    Dilts, Tom
    2025-08-31 | PDF
    In this project, we sought to couple two imaging technologies, drones and vehicle-mounted cameras, with models using artificial intelligence to predict the location of milkweed plants in Northern Nevada. Milkweeds are weedy plants that frequently occur along roadsides, and they are the only food used by caterpillars of the monarch butterfly, whose ...
  • Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements
    Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements
    Wang, Feng ;
    Sanchez, Carlos
    2025-08-31 | PDF
    With the recent federal legislation approval of the funding of the United States's infrastructure, investment into transportation research has prompted the implementation of new technologies to advance the data collection and evaluation methods for transportation asset management. As departments of transportation (DOTs) upgrade their equipment to u ...
  • Preventing Rear and Side Crashes of HeavyDuty TractorTrailer Combinations with Smart Sensors and Vision Systems
    Preventing Rear and Side Crashes of Heavy-Duty Tractor-Trailer Combinations with Smart Sensors and Vision Systems
    Jahanbiglari, Ava ;
    Deng, Xiyu
    2025-08-30 | PDF
    This project, conducted under the Safety21 University Transportation Center, advanced the safety of heavy- duty vehicles (HDVs) through physics-informed modeling, statistical analysis, sensor deployment, and socio- technical analysis. The research focused on two objectives: developing a Physics-Informed Reinforcement Learning (PIRL) framework for n ...
  • Cyber Resilience of Connected and Autonomous Transportation Systems Phase I StateoftheArt and Research Gaps
    Cyber Resilience of Connected and Autonomous Transportation Systems (Phase I): State-of-the-Art and Research Gaps
    Noruzoliaee, Mohamadhossein ;
    Nazari, Fatemeh
    2025-08-22 | PDF
    Connected and autonomous transportation systems (CATS) promise major advances in efficiency and safety but also expose cyber-physical infrastructures to evolving cyber-attacks that threaten security and safety. This survey provides a unified synthesis of cyber resilience in CATS, organized along three axes: (1) operational scale (micro, meso, and m ...
  • Integrating Occupancy Grids with SpatialTemporal Reinforcement Learning for Enhanced Vehicle Control Navigating Highly Dynamic and Complex Driving Scenarios
    Integrating Occupancy Grids with Spatial-Temporal Reinforcement Learning for Enhanced Vehicle Control - Navigating Highly Dynamic and Complex Driving Scenarios
    Redmill, Keith A ;
    Zhang, Zhihao
    2025-08-18 | PDF
    This study addresses the challenge of effectively interpreting and navigating complex dynamic driving environments, using occupancy grids as a primary mode of spatial input representation. In this work, the research team presents a novel approach that combines the strengths of reinforcement learning (RL) and transformer-based architectures, particu ...
  • DataDriven Inspection Planning for Utah Culverts Using Federated Learning Brief
    Data-Driven Inspection Planning for Utah Culverts Using Federated Learning [Brief]
    Rashidi, Abbas ;
    Mohammadi, Pouria
    2025-08-01 | PDF
    In recent years, transportation agencies have increasingly turned to machine learning (ML) to enhance the effectiveness of infrastructure asset management. However, limited local inventory data often hinders building accurate and reliable ML models. Additionally, data privacy and ownership concerns discourage agencies from sharing raw datasets. Man ...
  • DataDriven Inspection Planning for Utah Culverts Using Federated Learning
    Data-Driven Inspection Planning for Utah Culverts Using Federated Learning
    Mohammadi, Pouria ;
    Rashidi, Abbas
    2025-08-01 | PDF
    In recent years, transportation agencies have increasingly turned to machine learning (ML) to enhance the effectiveness of infrastructure asset management. However, limited local inventory data often hinders building accurate and reliable ML models. Additionally, data privacy and ownership concerns discourage agencies from sharing raw datasets. Man ...
  • A Feasibility Study of Road CulvertBridge Deck Deicing Using Geothermal Energy
    A Feasibility Study of Road Culvert/Bridge Deck Deicing Using Geothermal Energy
    Khosravi, Mohammad ;
    Turner, Ethan
    2025-08-01 | PDF
    Montana's severe winters challenge bridge infrastructure with snow, ice, and concrete deterioration. Traditional deicing methods are often insufficient, harmful, and costly. This research explored using shallow geothermal energy for sustainable bridge deck deicing. Through lab tests, simulations, and machine learning, the system showed it could kee ...
  • Feasibility Assessment of Alternative Power Options for Roundabout Lighting in Georgia
    Feasibility Assessment of Alternative Power Options for Roundabout Lighting in Georgia
    Yang, Jidong J ;
    Bian, Jiachen
    2025-08-01 | PDF
    This report presents a comprehensive assessment of the technical and economic feasibility of deploying renewable energy - powered lighting systems at roundabouts across Georgia. Driven by the dual goals of enhancing nighttime traffic safety and advancing sustainable infrastructure, the study integrates high-resolution meteorological data, renewable ...
81 - 100 / 613
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