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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 101 - 120 of 613 results
  • Roadside Asset Extraction from Mobile LiDAR Point Cloud
    Roadside Asset Extraction from Mobile LiDAR Point Cloud
    Ahn, Yushin ;
    Munjy, Riadh
    2025-08-01 | PDF
    Mobile LiDAR systems are powerful tools that help us map roads and their surroundings in 3D with great speed and precision. The data provided by these systems support urban planning efforts, digital mapping, transportation infrastructure maintenance, and more. This report presents a comprehensive workflow for roadside asset extraction using Mobile ...
  • Roadside Asset Extraction from Mobile LiDAR Point Cloud Summary
    Roadside Asset Extraction from Mobile LiDAR Point Cloud [Summary]
    Ahn, Yushin ;
    Munjy, Riadh
    2025-08-01 | PDF
    Mobile LiDAR systems are powerful tools that help us map roads and their surroundings in 3D with great speed and precision. The data provided by these systems support urban planning efforts, digital mapping, transportation infrastructure maintenance, and more. This report presents a comprehensive workflow for roadside asset extraction using Mobile ...
  • Pavement Design Performance of Base versus Subbase
    Pavement Design: Performance of Base versus Subbase
    Tutumluer, Erol ;
    Koh, Yongsung
    2025-08-01 | PDF
    The limited availability of high-quality aggregates and rising transportation costs present ongoing challenges for pavement construction and maintenance in Minnesota. To address this, local agencies are increasingly exploring the use of lower-quality, locally available materials in pavement foundation layers. This study evaluates the performance an ...
  • RIDERS RealTime Information Dissemination for Efficiency in a RoboTaxi System
    RIDERS: Real-Time Information Dissemination for Efficiency in a Robo-Taxi System
    Filipovska, Monika ;
    Bala, Haimanti
    2025-08-01 | PDF
    Real-time traffic information is critical for efficient robo-taxi fleet management, yet such data is often costly to obtain and incomplete in mixed traffic with low autonomous vehicle (AV) penetration. This project addresses this challenge by proposing a hierarchical reinforcement learning (HRL) framework that enables fleets to act not only as mobi ...
    Supporting Files
  • Implementing an Advanced Friction Testing Program for Seamless Coverage of INDOT System
    Implementing an Advanced Friction Testing Program for Seamless Coverage of INDOT System
    Tao, Chengcheng ;
    Lin, Yizhou
    2025-07-31 | PDF
    The interaction between tires and the road surface is crucial for maintaining vehicle stability and safety. The frictional forces at the tire-road interface, along with the coefficient of friction, affect vehicle dynamics, influencing transportation safety. Rapid advancements in transportation technology, infrastructure demands, and safety regulati ...
  • Artificial Intelligence in Transportation
    Artificial Intelligence in Transportation
    Chen, Sikai ;
    Li, Pei
    2025-07-31 | PDF
    This research provides a strategic assessment of how Artificial Intelligence (AI) can be effectively integrated into the operations of the Wisconsin Department of Transportation (WisDOT). The purpose of the research is to identify key opportunities, challenges, and implementation pathways for AI across six major transportation domains: asset manage ...
  • Improve Highway Safety by Reducing the Risks of Landslides Phase 2
    Improve Highway Safety by Reducing the Risks of Landslides (Phase 2)
    Sheng, Zhuping ;
    Owolabi, Oludare
    2025-07-31 | PDF
    This report summaries research findings of Phase 2 of the project titled Improve Highway Safety by Reducing the Risks of Landslides, sponsored by National UTC - Safety 21 program. To prevent landslides hazards, multiple approaches were integrated to develop a framework for detecting and monitoring slope instability and assessing landslides risks al ...
  • Project 567 F1Tenth Autonomous Training Platform Courseware and Community Activities
    Project 567: F1Tenth Autonomous Training Platform, Courseware and Community Activities
    Mangharam, Rahul
    2025-07-31 | PDF
    This is a continuation of a successful Safety21 project on developing a training community for engineering and ethical skills for developing future autonomous vehicles. This project includes three components - (1) autonomous driving course development with a 1/10th-scale autonomous racecar where students learn advanced algorithms and software devel ...
  • Safety Assurance and Demonstration of Connected Autonomous Vehicles
    Safety Assurance and Demonstration of Connected Autonomous Vehicles
    Rajkumar, Ragunathan (Raj) ;
    Sahu, Nishad
    2025-07-31 | PDF
    This proposed larger-scale effort aims to re-define and demonstrate the vision of full autonomy to one of safe autonomy, where a learning-enabled system is coupled with the foundations of cyber-physical systems to endow the system with an explicit awareness of both its capabilities and limitations. In turn, the system realizes when it is in or near ...
  • VehicleinVirtualEnvironment VVE Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Year 2 Focus on Bicyclist Safety
    Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Year 2 Focus on Bicyclist Safety
    Chen, Haochong ;
    Cao, Xincheng
    2025-07-28 | PDF
    Motivated by the shortcomings of using public road development of autonomous driving functions, this project focuses on the Vehicle-in-Virtual-Environment (VVE) method of safe, efficient, and low-cost connected and autonomous driving function development, evaluation, and demonstration. The VVE method places the actual vehicle inside a highly realis ...
  • Investigation of Key Safety Measures for Pre and PostDeployment of Connected and Automated Vehicles
    Investigation of Key Safety Measures for Pre and Post-Deployment of Connected and Automated Vehicles
    Kondyli, Alexandra ;
    Schrock, Steven
    2025-07-01 | PDF
    In recent years, automated vehicles (AVs) are increasingly penetrating road networks with the main purpose of reducing driver error. Since around 94% of traffic crashes are due to driver errors, automated vehicles have the potential to enhance road safety by eliminating human drivers' tasks. Despite claims that these vehicles will increase road saf ...
  • Understanding Residential Development in a HighQuality Transit Area HQTA An Application of Deep Learning
    Understanding Residential Development in a High-Quality Transit Area (HQTA): An Application of Deep Learning
    Kim, Dohyung
    ORCID ICON IMG
    2025-07-01 | PDF
    Considerable research addresses the dynamics between land use and public transportation, including the impacts of transit systems on urban development and vice versa. However, this research has underestimated the heterogeneity of contributing factors to urban developments near transit by property type: vacant lot and occupied property. That is, wha ...
  • Understanding Residential Development in a HighQuality Transit Area HQTA An Application of Deep Learning Brief
    Understanding Residential Development in a High-Quality Transit Area (HQTA): An Application of Deep Learning [Brief]
    Kim, Dohyung
    ORCID ICON IMG
    2025-07-01 | PDF
    Considerable research addresses the dynamics between land use and public transportation, including the impacts of transit systems on urban development and vice versa. However, this research has underestimated the heterogeneity of contributing factors to urban developments near transit by property type: vacant lot and occupied property. That is, wha ...
  • Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure
    Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure
    Tang, Jiong ;
    Zhang, Yang
    2025-07-01 | PDF
    In this research, we develop a framework for machine learning enabled information fusion for infrastructure health monitoring. Traditionally, off-the-shelf sensors such as accelerometers and strain gages have been used to collect real-time measurements of structural responses to facilitate health monitoring. While certain levels of success have bee ...
  • Traffic SignReader: Real-time Zero-shot Recognition of Text-based Traffic Signs [supporting dataset]
    Rajkumar, Ragunathan (Raj) ;
    Sahu, Nishad
    2025-07-01 | ZIP
    This proposed larger-scale effort aims to re-define and demonstrate the vision of full autonomy to one of safe autonomy, where a learning-enabled system is coupled with the foundations of cyber-physical systems to endow the system with an explicit awareness of both its capabilities and limitations. In turn, the system realizes when it is in or near ...
    Dataset
  • Unmanned Aerial Systems for Determining Vegetative Establishment on ALDOT Construction Sites
    Unmanned Aerial Systems for Determining Vegetative Establishment on ALDOT Construction Sites
    Singh, Puranjit ;
    Bao, Yin
    2025-06-02 | PDF
    Roadside vegetation composition assessment is essential to maintain ecological stability, control invasive species, and to ensure the adoption of environmental regulations around construction zones. Traditional monitoring methods involving visual inspections are time-consuming, labor-intensive, and not scalable. Remote sensing offers a valuable alt ...
  • 5GEnabled Safe and Robust Deep MultiAgent Reinforcement Learning Framework for CAV Coordination
    5G-Enabled Safe and Robust Deep Multi-Agent Reinforcement Learning Framework for CAV Coordination
    Miao, Fei ;
    Han, Song
    2025-06-01 | PDF
    We address the problem of coordination and control of Connected and Automated Vehicles (CAVs) in the presence of imperfect observations in mixed traffic environment. A commonly used approach is learning-based decision-making, such as reinforcement learning (RL). However, most existing safe RL methods suffer from two limitations: (i) they assume acc ...
    Supporting Files
  • Addressing Urban Traffic Congestion A Deep Reinforcement LearningBased Approach
    Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach
    Liu, Tairan
    2025-06-01 | PDF
    In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic light timings. This project integrates two critical technologies, Deep Q-Networks (DQN) and Auto- encoders, into reinforcement learning, with the goal of making traffic smoother and reducing the all-too- ...
  • Addressing Urban Traffic Congestion A Deep Reinforcement LearningBased Approach Brief
    Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach [Brief]
    Liu, Tairan
    2025-06-01 | PDF
    In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic light timings. This project integrates two critical technologies, Deep Q-Networks (DQN) and Auto- encoders, into reinforcement learning, with the goal of making traffic smoother and reducing the all-too- ...
  • Reinforcement LearningAssisted Virtualized Security Framework for CAVs
    Reinforcement Learning-Assisted Virtualized Security Framework for CAVs
    Sahoo, Jagruti ;
    Mukwaya, Arthur Noa
    2025-06-01 | PDF
    Security vulnerabilities in the Connected and Autonomous Vehicle (CAV) software can allow hackers to perform malicious actions ranging from draining batteries and taking control of the steering wheel to disabling the alarm system. CAV software is subject to several cyber-attacks including memory corruption, code injection, remote code execution, an ...
101 - 120 / 613
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