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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 561 - 580 of 613 results
  • Maintenance and Restriping Strategies for Pavement Markings on Asphalt Pavements in Louisiana
    Maintenance and Restriping Strategies for Pavement Markings on Asphalt Pavements in Louisiana
    Mousa, Momen R ;
    Hassan, Marwa
    2021-08-01 | PDF
    In Louisiana, most districts restripe their roadways using waterborne paints every other year; this strategy is questionable in terms of efficiency and economy. Meanwhile, previous studies showed substantial variability in the paint service life throughout the United States ranging between 0.25 and 6.2 years. Shortcomings in modeling the retrorefle ...
  • Study on Hybrid Model Combining Super Learner and PhysicsBased Models for SHM in Bridges Using LowCost BWIM
    Study on Hybrid Model Combining Super Learner and Physics-Based Models for SHM in Bridges Using Low-Cost BWIM
    Ham, Suyun ;
    Chao, Shih-ho
    2021-08-01 | PDF
    The main objective of this project is to study and develop hybrid models of BWIM physics-based models incorporates with SHM inspection used by artificial intelligence (AI) techniques to predict structural damage. This study presents a comprehensive assessment of FE simulations leveraging contact method verified by vehicle-bridge interaction(VBI) th ...
  • Maintenance and Restriping Strategies for Pavement Markings on Asphalt Pavements in Louisiana [supporting datasets]
    Mousa, Momen R ;
    Hassan, Marwa
    2021-08-01 | PDF
    In Louisiana, most districts restripe their roadways using waterborne paints every other year; this strategy is questionable in terms of efficiency and economy. Meanwhile, previous studies showed substantial variability in the paint service life throughout the United States ranging between 0.25 and 6.2 years. Shortcomings in modeling the retrorefle ...
    Dataset Supporting Files
  • Study on Hybrid Model Combining Super Learner and Physics-Based Models for SHM in Bridges Using Low-Cost BWIM [supporting datasets]
    Ham, Suyun ;
    Chao, Shih-ho
    2021-08-01 | PDF
    The main objective of this project is to study and develop hybrid models of BWIM physics-based models incorporated with SHM inspection used by artificial intelligence (AI) techniques to predict structural damage. This study presents a comprehensive assessment of FE simulations leveraging contact method verified by vehicle-bridge interaction(VBI) th ...
    Dataset Supporting Files
  • RealTime Traffic Analytics at Intersections
    Real-Time Traffic Analytics at Intersections
    Narasimhan, Srinivasa G. ;
    Tamburo, Robert
    2021-08-01 | PDF
    More and more city planners are taking into consideration smart mobility solutions to address transportation needs and central to smart transportation systems is access to real-time data. For example, self-driving cars offer independence for seniors and people with disabilities, greater road safety, cost savings through ride sharing, increased prod ...
  • Communicate Lessons Exchange Advice Record CLEAR Database Development
    Communicate Lessons, Exchange Advice, Record (CLEAR) Database Development
    Jaselskis, Edward J. ;
    Jhala, Arnav
    2021-07-31 | PDF
    Valuable lessons learned and best practices gleaned from construction projects often do not transfer to future generations of personnel due to the lack of a formalized process. This ongoing issue gives rise to the need to impart fresh training to new North Carolina Department of Transportation (NCDOT) employees once the aging workforce retires or i ...
  • LargeScale and LongTerm Forecasting of Performance Measurement of Public Transportation Systems
    Large-Scale and Long-Term Forecasting of Performance Measurement of Public Transportation Systems
    Chiang, Yao-Yi ;
    Shahabi, Cyrus
    2021-07-26 | PDF
    Accurate forecasting of public transportation metrics is critical towards the high reliability and efficiency of the public transportation system. However, deploying a forecasting system to serve city-level public transportation with long-term forecasting is challenging. In this project, we develop the capability for processing the entire Los Angel ...
  • Smart Glasses for Improving Mobility of Low Vision People Phase Two
    Smart Glasses for Improving Mobility of Low Vision People (Phase Two)
    Cai, Yang
    ORCID ICON IMG
    2021-07-15 | PDF
    This proposal aims to continue the work toward a prototype of the smart glasses with the digital bioptic lens. In Phase Two, the project will implement the digital bioptic lens on augmented reality glasses. Bioptic glasses is a telescope on glasses. It helps people with poor vision see details in the central retina area where it has degenerated by ...
  • Cognitive Attention and Its Application in Countermeasures on a Curve Section
    Cognitive Attention and Its Application in Countermeasures on a Curve Section
    Shen, Junan ;
    Gao, Weinan
    2021-07-01 | PDF
    To reduce crashes and improve traffic safety on roads, this project explored a methodology of evaluating the safety countermeasures based on cognitive attention and driving performance with eye-tracking and driving simulation technologies and comprehensive analysis of eye movements, driving performance, and short-term memory. An experiment for data ...
  • Performance Measurement Management Using Connected Automated Vehicle Data
    Performance Measurement & Management Using Connected & Automated Vehicle Data
    Hadi, Mohammed ;
    Sisiopiku, Virginia
    2021-07-01 | PDF
    The availability of connected vehicle (CV) data, even at lower market penetrations, can be sufficient to support critical transportation performance measurement and management functions. This study developed a framework, methods, and algorithms for using CV data to estimate measures to support agency processes. As such, the study investigated the u ...
  • Using Video Feeds from Public Traffic Cameras and Computer Vision to Analyze Social Distancing and Travel Patterns during the COVID19 Pandemic
    Using Video Feeds from Public Traffic Cameras and Computer Vision to Analyze Social Distancing and Travel Patterns during the COVID-19 Pandemic
    New York University, University of Washington, and Old Dominion University  ...
    2021-07-01 | UTC Spotlight Newsletter | PDF
    Researchers at the Connected Cities for Smart Mobility towards Accessible and Reliable Transportation (C2SMART) University Transportation Center (UTC), led by Professor Kaan Ozbay at New York University, have developed a continuous, real-time pedestrian detection framework that uses public traffic camera feeds and deep learning-based video processi ...
  • Developing Effective Traffic Management Strategies for Special Events based on ADMS Dataset
    Developing Effective Traffic Management Strategies for Special Events based on ADMS Dataset
    Giuliano, Genevieve ;
    Lu, Yougeng
    2021-06-30 | PDF
    Major events are a significant source of traffic congestion, especially in large metropolitan areas. We conduct a case study of football games played at the Los Angeles Memorial Coliseum; a venue located near downtown Los Angeles with a capacity of about 80,000. Two teams play home games at the Coliseum, the Los Angeles Rams, and the University of ...
  • Combining Crowdsourcing and Machine Learning to Collect Sidewalk Accessibility Data at Scale
    Combining Crowdsourcing and Machine Learning to Collect Sidewalk Accessibility Data at Scale
    Froehlich, Jon E
    ORCID ICON IMG
    2021-06-09 | PDF
    The authors are developing new data collection approaches that use a combination of remote crowdsourcing, machine learning, and online map imagery. Their newest effort, called Project Sidewalk, enables online crowdworkers to remotely label pedestrian-related accessibility problems by virtually walking through city streets in Google Street View. In ...
  • Adoption and Diffusion of Electric Vehicles in Maryland
    Adoption and Diffusion of Electric Vehicles in Maryland
    Cirillo, Cinzia ;
    Bas, Javier
    2021-06-01 | PDF
    Among the many approaches toward fuel economy, the adoption of electric vehicles (EVs) may have the greatest impact. However, existing studies on EV adoption predict very different market evolutions, which causes a lack of solid ground for strategic decision making. New methodological tools, based on Artificial Intelligence, might offer a different ...
  • Evaluation of Factors Influencing Roundabout Performance
    Evaluation of Factors Influencing Roundabout Performance
    Rodgers, Michael O. ;
    Gbologah, Franklin
    2021-06-01 | PDF
    This project focused on determining the potential impacts of various geometric and operational parameters on gap-acceptance behavior for approaches to roundabouts in the metro-Atlanta area. Twelve roundabouts were selected to provide a range of different conditions in terms of number of legs, number of circulating lanes, conflicting volumes, presen ...
  • Developing Effective Traffic Management Strategies for Special Events based on ADMS Dataset Findings and Recommendations for LA METRO
    Developing Effective Traffic Management Strategies for Special Events based on ADMS Dataset: Findings and Recommendations for LA METRO
    METRANS Transportation Center (Calif.)  ...
    2021-06-01 | PDF
    Major events are a significant source of traffic congestion, especially in large metropolitan areas. We conduct a case study of football games played at the Los Angeles Memorial Coliseum; a venue located near downtown Los Angeles with a capacity of about 80,000. Two teams play home games at the Coliseum, the Los Angeles Rams, and the University of ...
  • Image Processing and Machine Learning Techniques for Automated Detection of Planes at Utah Airports
    Image Processing and Machine Learning Techniques for Automated Detection of Planes at Utah Airports
    Farhadmanesh, Mohammad ;
    Rashidi, Abbas
    2021-06-01 | PDF
    Most of the airports in the United States are non-towered airports. Utah is not an exception to this rule. As a result, these airports fall behind in terms of aircraft operation count and identification. On the other hand, image detection and recognition have long been assisting different industrial areas in shifting towards automation in performin ...
  • Fatigue Life Estimation of Bridges With Smart Mobile Sensing
    Fatigue Life Estimation of Bridges With Smart Mobile Sensing
    Pakzad, Shamim N ;
    Takac, Martin
    2021-06-01 | PDF
    Bridge structures experience significant vibrations and repeated stress variations during their lifecycle. These conditions are the bases for fatigue analysis to identify fatigue cracking, which can be used to accurately establish the remaining fatigue life of the structures (i.e., the number of stress cycles before fatigue failure). This is typica ...
  • Platooning for Improved Safety and Efficiency of SemiTrucks PISES II
    Platooning for Improved Safety and Efficiency of Semi-Trucks (PISES) II
    Viswanathan, Venkat ;
    Shankar, Varun
    2021-06-01 | PDF
    Advances in both scientific computing and machine learning (ML) have led to techniques to improve, replace, or speed up methods to solve problems in the physical sciences. For many nonlinear systems, traditional methods of calculation often carry a heavy computational burden due to complex dynamics, physical constraints, or multi-scale behavior. Th ...
  • Enhancing Traffic Flow and Driving Safety via Artificial Intelligence
    Enhancing Traffic Flow and Driving Safety via Artificial Intelligence
    Shahmoradi, Amir ;
    Osborne, Joshua
    2021-05-31 | PDF
    Motivated by the priorities highlighted by Texas Department of Transportation (TXDOT) and following the guidelines in the recent presidential "Executive Order on Maintaining American Leadership in Artificial Intelligence" in 2019, this proposal aims to utilize the state-of-the-art tools and techniques in the field of Artificial Intelligence and Dat ...
561 - 580 / 613
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