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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 121 - 140 of 613 results
  • Understanding Real-World Brake Activity: A Key to Assessing Non-Tailpipe Emission Sources for Sustainable Transportation and Communities [supporting dataset]
    Zhao, Xuanpeng ;
    Wu, Guoyuan
    2025-05-19 | ZIP
    Electrification is considered a promising solution to environmental sustainability, due to the removal of tailpipe emissions (during operation) from the transportation sector. However, this would not have too much effect on those non-tailpipe particulate emissions. In addition, brake and tire wear particles are composed of various metals, rubber co ...
    Dataset Supporting Files
  • RiskBased MultiThreat DecisionSupport Methodology for LongTerm Bridge Asset Management Volume 2 Networklevel Decision Support
    Risk-Based Multi-Threat Decision-Support Methodology for Long-Term Bridge Asset Management - Volume 2: Network-level Decision Support
    Ghavidel, Alireza ;
    Mashrur, Naqib
    2025-05-03 | PDF
    In the Volume 2 report, the bridge-level AI-based maintenance decision policy previously developed in the Volume 1 report is further integrated into a network-level decision support framework, by considering network-level budget and resource constraints. A Pareto Frontier based ranking approach is proposed to rank the maintenance projects suggested ...
  • Bridge Inspection Using Augmented Reality and Artificial Intelligence
    Bridge Inspection Using Augmented Reality and Artificial Intelligence
    Gabbard, Joe ;
    Sarlo, Rodrigo
    2025-05-01 | PDF
    Bridge inspections are critical for maintaining infrastructure safety and reliability, requiring inspectors to conduct thorough evaluations of structural components and document their conditions. However, traditional inspection workflows rely heavily on manual measurement and data entry, which introduces inefficiencies, inconsistencies, and transcr ...
  • A Comprehensive Study of Impacts of Q Bus Rapid Transit System on Blackstone Avenue
    A Comprehensive Study of Impacts of "Q" Bus Rapid Transit System on Blackstone Avenue
    Tanai, Yertai ;
    Ciftci, Kamil
    2025-05-01 | PDF
    This study examines the dual impact of the Fresno Area Express (FAX) Q Line, a 15.7-mile Bus Rapid Transit (BRT) system launched in 2018, on the Fresno housing market and passenger satisfaction. The Q Line, designed to modernize public efficiency. Housing eco-friendly compressed natural gas (CNG) vehicles, real-time passenger information, and impro ...
  • Asset Condition Assessment Using AI and Computer Vision
    Asset Condition Assessment Using AI and Computer Vision
    Mashhadi, Ali ;
    Black, Clancy W.
    2025-05-01 | PDF
    UDOT faces significant challenges in manually inspecting roadside safety assets across its extensive roadway network, prompting the need for automated condition assessment solutions. This project leverages street-level image data to develop an AI-driven framework for assessing primary assets (guardrails, cable barriers, concrete barriers) and secon ...
  • Hazardous Material Commodity Flow
    Hazardous Material Commodity Flow
    Barr, Jonathan L ;
    Godinez, Melanie A
    2025-05-01 | PDF
    The Hazardous Material Commodity Flow project for the U.S. Department of Transportation's Pipeline and Hazardous Materials Safety Administration report focuses on the evaluation, testing, and implementation of systems for monitoring the transportation of hazardous materials (Hazmat) on roadways. This report details the current state of technology f ...
  • Construction Cost Inflation Model
    Construction Cost Inflation Model
    Colsch, Nick
    2025-05-01 | PDF
    Federal legislation requires state departments of transportation to consider and apply inflation to the costs of transportation projects. However, there is no guidance on how inflation should be calculated. Previous research on this topic primarily focused on developing construction cost indexes. Previous methods of prediction included neural netwo ...
  • Construction Cost Inflation Model Data Management Plan
    Construction Cost Inflation Model: Data Management Plan
    Colsch, Nick
    2025-05-01 | PDF
    Federal legislation requires state departments of transportation to consider and apply inflation to the costs of transportation projects. However, there is no guidance on how inflation should be calculated. Previous research on this topic primarily focused on developing construction cost indexes. Previous methods of prediction included neural netwo ...
  • SMART METRO [supporting dataset]
    Broward County Metropolitan Planning Organization (Florida)
    2025-05-01 | 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, ...
    Dataset Supporting Files
  • Point Cloud Feature Extraction for ADA Ramp Compliance Assessment
    Point Cloud Feature Extraction for ADA Ramp Compliance Assessment
    Ghafourian, Amin ;
    Lee, Andrew
    2025-04-28 | PDF
    Automation can play a prominent role in improving efficiency, accuracy, and scalability in infrastructure surveying and assessing construction and compliance standards. This report presents a comprehensive framework for automation of geometric measurements and compliance assessment using point cloud data. The proposed approach integrates deep learn ...
  • CorridorWide Surveillance Using Unmanned Aircraft Systems Phase III Exploration of the Implementation of Using Unmanned Aircraft Systems for Freeway Incident Detection and Management Part B
    Corridor-Wide Surveillance Using Unmanned Aircraft Systems Phase III: Exploration of the Implementation of Using Unmanned Aircraft Systems for Freeway Incident Detection and Management: Part B
    Zhang, Yu ;
    Kourtellis, Achilleas
    2025-04-10 | PDF
    In the third phase of the project, the research team continued utilizing drone systems equipped with thermal cameras to enable real-time detection of traffic incidents and their resulting non-recurrent congestion on freeways, while distinguishing them from recurrent congestion. A comprehensive literature review on existing traffic incident detectio ...
  • A Comprehensive Study of Impacts of Q Bus Rapid Transit System on Blackstone Avenue Brief
    A Comprehensive Study of Impacts of "Q" Bus Rapid Transit System on Blackstone Avenue [Brief]
    Tanai, Yertai ;
    Ciftci, Kamil
    2025-04-01 | PDF
    This study examines the dual impact of the Fresno Area Express (FAX) Q Line, a 15.7-mile Bus Rapid Transit (BRT) system launched in 2018, on the Fresno housing market and passenger satisfaction. The Q Line, designed to modernize public efficiency. Housing eco-friendly compressed natural gas (CNG) vehicles, real-time passenger information, and impro ...
  • CorridorWide Surveillance Using Unmanned Aircraft Systems Phase III Freeway Incident Detection and Management Part B Brief
    Corridor-Wide Surveillance Using Unmanned Aircraft Systems Phase III: Freeway Incident Detection and Management: Part B [Brief]
    Zhang, Yu ;
    Kourtellis, Achilleas
    2025-04-01 | PDF
    In the third phase of the project, the research team continued utilizing drone systems equipped with thermal cameras to enable real-time detection of traffic incidents and their resulting non-recurrent congestion on freeways, while distinguishing them from recurrent congestion. A comprehensive literature review on existing traffic incident detectio ...
  • A Fatigue Assessment Framework for Steel Bridges Using Fiber Optic Sensors and Machine Learning
    A Fatigue Assessment Framework for Steel Bridges Using Fiber Optic Sensors and Machine Learning
    Soliman, Mohamed ;
    Mahmoud, Ahmed
    2025-04-01 | PDF
    This report discusses the results of a research project aiming at developing data-driven approaches for damage detection in steel bridges. The developed approaches utilize machine learning (ML) models coupled with strain data obtained from fiber optic sensors or traditional foil-type strain gauges to detect the damage. The report discusses the expe ...
  • Automated Assessment of Defects in Bridge Structures
    Automated Assessment of Defects in Bridge Structures
    Shafei, Behrouz ;
    Odeh, Ibrahim
    2025-04-01 | PDF
    Effective and timely bridge inspections are crucial for extending bridge lifespans and preventing catastrophic failures. Traditional inspection methods often involve manual visual assessments and can be time-consuming, labor-intensive, and prone to human error. Recent technological advancements in unmanned aerial vehicles (UAVs), artificial intelli ...
  • Understanding RealWorld Brake Activity A Key to Assessing NonTailpipe Emission Sources
    Understanding Real-World Brake Activity: A Key to Assessing Non-Tailpipe Emission Sources
    Wu, Guoyuan ;
    Zhao, Xuanpeng
    2025-04-01 | PDF
    Understanding and mitigating non-tailpipe emissions, particularly those from braking activities, is crucial for improving air quality and public health. This study investigates the impact of vehicle brake activity on mobile-source particulate matter (PM) emissions at signalized intersections using a multi-modal data collection approach. The researc ...
  • Smart Highway Construction Site Monitoring Using Artificial Intelligence
    Smart Highway Construction Site Monitoring Using Artificial Intelligence
    Mazari, Mehran ;
    Nava-Gonzalez, Yahaira
    2025-03-31 | PDF
    Construction is a large sector of the economy and plays a significant role in creating economic growth and national development, and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation inf ...
  • Smart Highway Construction Site Monitoring Using Artificial Intelligence Brief
    Smart Highway Construction Site Monitoring Using Artificial Intelligence [Brief]
    Mazari, Mehran ;
    Nava-Gonzalez, Yahaira
    2025-03-01 | PDF
    Construction is a large sector of the economy and plays a significant role in creating economic growth and national development, and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation inf ...
  • NonMotorized Count Program and Risk Factors Assessment
    Non-Motorized Count Program and Risk Factors Assessment
    Tien, Iris ;
    Watkins, Kari E.
    2025-03-01 | PDF
    Non-motorized volumes at different locations in a transportation network are important data for understanding safety and travel needs for people who bike and walk. In Georgia, however, there are limited data about non-motorized volumes in transportation systems given, and in general, these modes volumes are difficult to predict due to high variabil ...
  • Incorporating Large Language Models (LLMs) into Transportation Safety Analytics [supporting dataset]
    Tang, Jinwei ;
    Luo, Yuebo
    2025-02-23 | ZIP
    This project focuses on enhancing transportation safety through LLMs. Its goal is to improve crash data analysis by highlighting disparities in traffic safety, particularly for vulnerable road users. Leveraging the Connecticut Crash Data Repository, the project develops an LLM algorithm to automatically analyze crash patterns and generate visual re ...
    Dataset
121 - 140 / 613
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