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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 501 - 520 of 613 results
  • The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation 2022 Updates
    The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation 2022 Updates
    Exploratory Advanced Research Program (U.S.)
    2022-01-01 | PDF
    When people hear the phrase "artificial intelligence" (AI), they might think of robots and machines that perform some of the functions that humans do, such as searching for victims in a partially collapsed building or comforting the elderly with personalized advice as part of monitoring their moods and home activity. When defined within the context ...
  • Modeling Crash Severity and Collision Types Using Machine Learning
    Modeling Crash Severity and Collision Types Using Machine Learning
    Kumar, Amit ;
    Krishnan, Hari
    2022-01-01 | PDF
    Traffic safety analysis is the fundamental step for reducing economic, social, and environmental cost incurred due to traffic accidents. The essence of traffic safety is understanding the factors affecting crash occurrence, injury severity and collision type and their underlying relationships and predict-prevent future crash instances. Crash injury ...
  • Modeling Crash Severity and Collision Types Using Machine Learning [Supporting Dataset]
    Kumar, Amit ;
    Krishnan, Hari
    2022-01-01 | BIN
    Traffic safety analysis is the fundamental step for reducing economic, social, and environmental cost incurred due to traffic accidents. The essence of traffic safety is understanding the factors affecting crash occurrence, injury severity and collision type and their underlying relationships and predict-prevent future crash instances. Crash injury ...
    Dataset
  • Post-earthquake Serviceability Assessment of RC Bridge Columns Using Computer Vision [supporting dataset]
    Tazarv, Mostafa ;
    Greeneway, Evan
    2022-01-01 | JSON
    Past test databases included a mix of bridge and building, standard and substandard columns, and reported parameters that might not be consistent with current codes or required in a bridge design. To achieve the current project goals, it was necessary to collect test data specific to modern RC bridge columns. A new performance database has been dev ...
    Dataset
  • Taming the Data in the Internet of Vehicles
    Taming the Data in the Internet of Vehicles
    Tayeb, Shahab
    ORCID ICON IMG
    2022-01-01 | PDF
    As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusio ...
  • Machine Learning and Pozzolans for Concrete for Highway Pavements and Structures
    Machine Learning and Pozzolans for Concrete for Highway Pavements and Structures
    Volpe National Transportation Systems Center
    2022-01-01 | PDF
    On December 14 and December 15, 2020, the Federal Highway Administration's (FHWA) Office of Infrastructure Research and Development held a virtual workshop called "Machine Learning and Pozzolans for Concrete Infrastructure Materials" with 80 participants in attendance. The workshop, consisting of eight presentations, largely focused on three ongoin ...
  • Postearthquake Serviceability Assessment of RC Bridge Columns Using Computer Vision
    Post-earthquake Serviceability Assessment of RC Bridge Columns Using Computer Vision
    Tazarv, Mostafa ;
    Won, Kwanghee
    2021-12-30 | PDF
    Modern seismic design codes ensure a large displacement capacity and prevent total collapse for bridges. However, this performance objective is usually attained at the cost of damage to target ductile members. For reinforced concrete (RC) bridges, the columns are usually the main source of ductility during an earthquake in which concrete cover, cor ...
  • Coordinated Intersection Control Through Reinforcement Learning with Special Consideration of Freight Traffic
    Coordinated Intersection Control Through Reinforcement Learning with Special Consideration of Freight Traffic
    Ma, Chaolun ;
    Wang, Bruce
    2021-12-14 | PDF
    This project specially studies signal timing with special consideration of freight traffic in urban areas. The rationale is that freight logistics are critical to quality of life and economies. However, freight mobility, especially along major freight corridors in urban areas, rarely gets special consideration in signal timing. The advent of the In ...
  • Vehiclebased Sensing for Energy and Emission Reduction
    Vehicle-based Sensing for Energy and Emission Reduction
    Li, Xiaopeng ;
    Liang, Zhaohui
    2021-12-14 | PDF
    Emerging automated vehicles (AV) may be able to provide advanced information about the surrounding information with video cameras, radar sensors, lidar sensors, etc. Such information will enable estimating and predicting transportation system states on mobility, energy, and emissions. In this study, a physical informed neural network is developed t ...
  • Bridge Load Posting Prediction [supporting datasets]
    Kameshwar, Sabarethinam ;
    Mia, Md. Manik
    2021-12-01 | PDF
    There are approximately 13,000 bridges in Louisiana facilitating movement of people, goods, and services. At present, about 12% of the bridges are load posted, i.e., they are deemed to lack the strength to safely carry all legal loads. With time bridges will age and deteriorate; at the same time, legal loads might increase. Load posted bridges disr ...
    Dataset Supporting Files
  • A Streamlined Bridge Inspection Framework Utilizing Unmanned Aerial Vehicles UAVs
    A Streamlined Bridge Inspection Framework Utilizing Unmanned Aerial Vehicles (UAVs)
    Guo, Yanlin ;
    Perry, Brandon J
    2021-12-01 | PDF
    Recently, the rapid development of commercial unmanned aerial vehicles (UAVs) has made collecting images of bridge conditions trivial. Measuring a defect's extent, growth, and location from the collected big image set, however, can be cumbersome. This paper proposes a streamlined bridge inspection system that offers advanced data analytics tools to ...
  • Determination of Pavement Surface Type
    Determination of Pavement Surface Type
    Sabillon, Christian ;
    Inoue, Danilo
    2021-12-01 | PDF
    This study evaluated and developed machine learning models for pavement surface classification to enhance accuracy and reliability using advanced computational techniques. Initially, a detailed literature review on pavement texture and measurement methods provided a foundation for developing a prototype system. This system, integrating laser scanne ...
  • Bridge Load Posting Prediction
    Bridge Load Posting Prediction
    Kameshwar, Sabarethinam ;
    Mia, Md. Manik
    2021-12-01 | PDF
    There are approximately 13,000 bridges in Louisiana facilitating movement of people, goods, and services. At present, about 12% of the bridges are load posted, i.e., they are deemed to lack the strength to safely carry all legal loads. With time bridges will age and deteriorate; at the same time, legal loads might increase. Load posted bridges disr ...
  • Implementation of Artificial Intelligence to Improve Winter Maintenance
    Implementation of Artificial Intelligence to Improve Winter Maintenance
    Exploratory Advanced Research Program (U.S.)
    2021-12-01 | PDF
    The union of technology and transportation is leading to advancements in how decisions are made and deployed for winter maintenance activities. Federal Highway Administration (FHWA) is investigating the use of artificial intelligence (AI) to collect and analyze data that could dramatically improve winter maintenance operations, safety, and mobility ...
  • CostEffective Detection and Repair of Moisture Damage in Pavements
    Cost-Effective Detection and Repair of Moisture Damage in Pavements
    Elseifi, Mostafa A. ;
    Dhakal, Nirmal
    2021-12-01 | PDF
    The major objective of this study was to evaluate the use of non-destructive evaluation (NDE) test methods to identify moisture damage in the field, to classify surface cracking in flexible pavements as top-down or bottom-up cracking, and to predict roughness conditions from surface images. NDE test methods evaluated in this study included Traffic ...
  • Benefit Cost Analysis of Railroad Track Monitoring Using Sensors Onboard Revenue Service Trains
    Benefit Cost Analysis of Railroad Track Monitoring Using Sensors Onboard Revenue Service Trains
    Bridgelall, Raj ;
    Lu, Pan
    2021-12-01 | PDF
    Railroad accidents can cause economic harm that extends far beyond their own financial losses. As one of the most efficient modes of long-distance freight transportation, losses in line capacity and cargo due to accidents can disrupt the supply chain and lead to commodity shortages everywhere. Therefore, railroads are seeking affordable and effecti ...
  • Realtime Distributed Optimization of Traffic Signal Timing
    Real‐time Distributed Optimization of Traffic Signal Timing
    Fei, Xinyu ;
    Yu, Xiang
    2021-12-01 | PDF
    Leveraging recent advancements in distributed optimization and reinforcement learning, and the growing connectivity and computational capability of vehicles and infrastructure, we propose to advance real-time adaptive signal control via distributed control and optimization. This report consists of three parts. Part 1 develops distributed algorithms ...
  • Smart Battery Management System for Electric Vehicles Selflearning Algorithms for Simultaneous State and Parameter Estimation and Stress Detection
    Smart Battery Management System for Electric Vehicles: Self-learning Algorithms for Simultaneous State and Parameter Estimation, and Stress Detection
    Sahoo, Avimanyu ;
    Ahmed, Samir
    2021-12-01 | PDF
    The project proposes to develop parameter-varying SOH-coupled models for lithium-ion battery and self-learning algorithms to learn the model for simultaneous state and parameter estimation and fault detection. The traditional battery models use constant parameters, limiting their accuracy for predicting the state of the charge and health over the c ...
  • Smart Battery Management System for Electric Vehicles: Self-learning Algorithms for Simultaneous State and Parameter Estimation, and Stress Detection [supporting datasets]
    Sahoo, Avimanyu ;
    Ahmed, Samir
    2021-12-01 | PDF
    The project proposes to develop parameter-varying SOH-coupled models for lithium-ion battery and self-learning algorithms to learn the model for simultaneous state and parameter estimation and fault detection. The traditional battery models use constant parameters, limiting their accuracy for predicting the state of the charge and health over the c ...
    Dataset Supporting Files
  • AIenabled Fiscally Constrained Lifecycle Asset Management for Infrastructure Systems
    AI-enabled Fiscally Constrained Lifecycle Asset Management for Infrastructure Systems
    Papakonstantinou, K G ;
    Guler, S. Ilgin
    2021-11-30 | PDF
    Accurate evaluation and prediction of infrastructure components performance and determination of optimal maintenance and inspection actions for any infrastructure element throughout its lifetime are essential parts of an effective infrastructure asset management framework. The goals of this project were to develop Artificial lntelligence (AI)-enabl ...
501 - 520 / 613
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