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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 141 - 160 of 613 results
  • Holistically Identifying Road Complexity and Relating it to Fatal Crashes [supporting dataset]
    Wang, Meng ;
    Roberts, Shannon C
    2025-02-01 | PDF
    Understanding the context of crash occurrence in complex driving environments is essential for improving traffic safety and advancing automated driving. Previous studies have used statistical models and deep learning to predict crashes based on semantic, contextual, or vehicle kinematic features, but none have examined the combined influence of the ...
    Dataset Supporting Files
  • Holistically Identifying Road Complexity and Relating It to Fatal Crashes
    Holistically Identifying Road Complexity and Relating It to Fatal Crashes
    Wang, Meng ;
    Roberts, Shannon C
    2025-02-01 | PDF
    Understanding the context of crash occurrence in complex driving environments is essential for improving traffic safety and advancing automated driving. Previous studies have used statistical models and deep learning to predict crashes based on semantic, contextual, or vehicle kinematic features, but none have examined the combined influence of the ...
  • iBM An Intelligent Bridge Management Tool for Bridge and Culvert Deterioration Forecasting and Anomaly Detection Based on PhysicsGuided Deep Learning
    i-BM: An Intelligent Bridge Management Tool for Bridge and Culvert Deterioration Forecasting and Anomaly Detection Based on Physics-Guided Deep Learning
    Banaei-Kashani, Farnoush ;
    Rens, Kevin
    2025-02-01 | PDF
    Bridges and culverts deteriorate with time and use. The deterioration process is affected by several factors, such as structural materials, structural design and behavior, daily traffic, freeze and thaw cycles, climate, pollution, temperature variation. After a certain period of time has elapsed, the deterioration processes accelerate and in a rela ...
  • iBM Bridge Management Tool Brief
    i-BM: Bridge Management Tool [Brief]
    Banaei-Kashani, Farnoush ;
    Rens, Kevin
    2025-02-01 | PDF
    Bridges and culverts deteriorate with time and use. While in the past, various data-driven deterioration models, including Bayesian models, probit model, and Markov chains are proposed in the literature to model bridge deterioration, these models either suffer from low accuracy or are too complex to be applicable. Recently deep learning (DL) AI mod ...
  • Equitable Flood Impact Analysis Integrating GeoAI and Digital Twin Modeling [supporting dataset]
    Tasnia, Rifa ;
    Alaka, Oladimeji Basit
    2025-01-31 | ZIP
    Flooding poses a significant threat to transportation infrastructure, yet research on the effects of dynamic flood levels on road networks remains limited. Increasing body of literature demonstrates that agencies can leverage digital data on travel demand, infrastructure, and water levels to improve integrated flood management and promote social eq ...
    Dataset
  • Equitable Flood Impact Analysis Integrating GeoAI and Digital Twin Modeling
    Equitable Flood Impact Analysis Integrating GeoAI and Digital Twin Modeling
    Tasnia, Rifa ;
    Alaka, Oladimeji Basit
    2025-01-31 | PDF
    Flooding poses a significant threat to transportation infrastructure, yet research on the effects of dynamic flood levels on road networks remains limited. Increasing body of literature demonstrates that agencies can leverage digital data on travel demand, infrastructure, and water levels to improve integrated flood management and promote social eq ...
  • Fast Detection and Prediction of Slippery Roadway Conditions for Enhanced Safety
    Fast Detection and Prediction of Slippery Roadway Conditions for Enhanced Safety
    Li, Joshua Qiang ;
    Munna, Masud Rana
    2025-01-15 | PDF
    Black ice, a nearly invisible hazard causing over 10% of weather-related crashes in the US, poses significant risks to roadway safety. Current measures like stationary Road Weather Information sensors (mRWIS) and cautionary signs improve awareness, but have limitations. Mobile Advanced Road Weather Information Sensors (MARWIS) offer enhanced, cost- ...
  • Rapid Assessment of NetworkLevel Pavement Conditions Using Novel Tools
    Rapid Assessment of Network-Level Pavement Conditions Using Novel Tools
    Ghos, Sagar ;
    Ali, Syed Ashik
    2025-01-15 | PDF
    Efficient network-level pavement condition assessment is essential for optimizing maintenance and rehabilitation strategies. Traditional methods, such as visual inspections and manual distress surveys, are often subjective, time consuming, and inefficient for large-scale pavement management. The focus of this collaborative project was to evaluate t ...
  • Reinforcement LearningBased Optimal Control of Wearable Alarms for Consistent Roadway Workers Reactions to Traffic Hazards
    Reinforcement Learning-Based Optimal Control of Wearable Alarms for Consistent Roadway Workers' Reactions to Traffic Hazards
    Lu, Daniel ;
    Ergan, Semiha
    2025-01-09 | PDF
    Recent innovations in roadway construction include work zone intrusion alert (WZIA) systems that detect traffic hazards (e.g., speeding or intruding vehicles) and raise alarms (e.g., sounds, lights) using preset attributes (e.g., volume, duration) to warn human workers-on-foot. Designing alarms raised by wearable warning devices (e.g., smartwatch) ...
  • Building AI and Machine Learning Technologies for Enhancing Transportation Station Area Safety in San Jose CA
    Building AI and Machine Learning Technologies for Enhancing Transportation Station Area Safety in San Jose, CA
    Ren, Xiangyu ;
    Yang, Bo
    2025-01-01 | PDF
    Accurate crime prediction is crucial for allocating police resources to reduce and prevent crime, particularly in large cities. Previous research has explored the relationship between social and built environments and street crime, but few studies have combined multi-source data using geo-statistical modeling. In this research, we applied a Spatial ...
  • Artificial Intelligence and Its Role and Use Within State DOTs Technical Summary
    Artificial Intelligence and Its Role and Use Within State DOTs [Technical Summary]
    Egge, Mark ;
    Rupnow, Tyson
    2025-01-01 | PDF
    The research team planned and executed this project in two phases. The project began with foundational research and a literature review, during which the team compiled a broad catalog of practical AI applications. A practitioner-focused phase followed, drawing out real-world insights related to AI policy and implementation. The research team implem ...
  • Supplemental Data Collection and Processing for Bridge Safety Inspections Utilizing Mixed Reality and Artificial Intelligence
    Supplemental Data Collection and Processing for Bridge Safety Inspections Utilizing Mixed Reality and Artificial Intelligence
    Sarlo, Rodrigo ;
    Gabbard, Joseph
    2025-01-01 | PDF
    This research work focused on evaluating both the technical and design elements necessary to perform augmented reality (AR) assisted bridge inspections. The inspection prototype developed by this project aims to demonstrate the potential benefits and limitations of incorporating head-worn displays into the inspection workflow. By virtue of switchin ...
  • Physicsinformed Machine Learning for Autonomous Vehicle Control
    Physics-informed Machine Learning for Autonomous Vehicle Control
    Li, Xianning ;
    Ozbay, Kaan
    2025-01-01 | PDF
    In this paper, a physics-informed machine learning approach is proposed for the lane changing of autonomous vehicles. Combining vehicle longitudinal and lateral control, the lane changing problem is formulated as a nonlinear motion planning and control optimization problem based on model predictive control (MPC). To address the computational challe ...
  • NextGeneration Permeable Pavement for Enhanced Durability and Functionality
    Next-Generation Permeable Pavement for Enhanced Durability and Functionality
    Elseifi, Mostafa A. ;
    Liao, Haitao
    2025-01-01 | PDF
    This study addresses the durability challenges of Open-Graded Friction Course (OGFC) by developing next- generation porous asphalt with improved mechanical, functional, and other properties. Modified OGFC mixes incorporating recycled waste materials, including steel slag, plastic waste, and reclaimed asphalt pavement (RAP), demonstrated enhanced pe ...
  • Quantification of Field Performance and Nondestructive Testing of Timber Bridges in Colorado
    Quantification of Field Performance and Nondestructive Testing of Timber Bridges in Colorado
    Kim, Yail Jimmy
    2024-12-31 | PDF
    This report presents two major aspects related to evaluating timber bridges with nondestructive testing: i) laboratory experiments and ii) field applications. The first part of the report discusses the degradation processes and resulting outcomes of structural timber, Douglas Fir, that is broadly used for bridge construction. In accordance with the ...
  • Deep InSight A DriverState Estimation Platform for Processing Naturalistic Driving Data
    Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data
    Sharma, Anuj ;
    Sarkar, Soumik
    2024-12-01 | PDF
    Extracting information from naturalistic driving datasets is crucial to understanding driver behavior and distractions. To overcome some of the challenges involved with annotating the data, detecting objects and behaviors, and storing large datasets, the researchers set out to develop a robust platform that can automatically estimate driver state, ...
  • AIEngine for Adaptive Sensor Fusion for Traffic Monitoring System
    AI-Engine for Adaptive Sensor Fusion for Traffic Monitoring System
    Dubey, Abhishek ;
    Work, Daniel B.
    2024-12-01 | PDF
    Effective traffic incident management is critical for road safety and operational efficiency. Yet, many transportation agencies rely on predominantly reactionary methods, where incidents are reported by human agents and managed through rule-based frameworks like traditional Traffic Incident Management (TIM) systems. These methods, however, are vuln ...
  • AI and Decision Support Systems for Crash Preventability PAR Processing
    AI and Decision Support Systems for Crash Preventability PAR Processing
    Miller, Andrew ;
    Datta, Debanjan
    2024-12-01 | PDF
    Automation processes and related machine learning techniques are being implemented across most industries to increase production or performance output or to reduce repetitive human tasks. The incorporation of automation elements into the Crash Preventability Determination Program conducted by the Federal Motor Carrier Safety Administration would he ...
  • AI and Other Decision Support Systems for Crash Preventability PAR Processing Brief
    AI and Other Decision Support Systems for Crash Preventability PAR Processing [Brief]
    United States. Department of Transportation. Federal Motor Carrier Safety Administration
    2024-12-01 | PDF
    Automation processes and related machine learning techniques are being implemented across most industries to increase production or performance output or to reduce repetitive human tasks. The incorporation of automation elements into the Crash Preventability Determination Program conducted by the Federal Motor Carrier Safety Administration would he ...
  • Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data
    Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data
    Sarkar, Abhijit ;
    Abbott, Lynn
    2024-12-01 | PDF
    Naturalistic driving data provides a wealth of information for researchers studying driver behavior and distracted driving. However, manually annotating the videos to extract the data is costly and time consuming. This project's research team set out to develop a system to analyze videos from the second Strategic Highway Research Program Naturalist ...
141 - 160 / 613
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