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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 401 - 420 of 613 results
  • Quantifying the Impact of New Mobility on Transit Ridership
    Quantifying the Impact of New Mobility on Transit Ridership
    Brakewood, Candace ;
    Cherry, Christopher
    2023-03-01 | PDF
    This Final Report presents the outcomes of Community Analysis Research Project C3 that analyzed the impacts of new mobility modes - particularly micromobility - on transit ridership. Micromobility includes modes such as bicycles, electric bicycles (e-bikes) and electric scooters (e-scooters). This research focused specifically on shared electric sc ...
  • LiDAR Drones and BRIM for Rapid Bridge Inspection and Management
    LiDAR, Drones and BRIM for Rapid Bridge Inspection and Management
    Turkan, Yelda ;
    Calvi, Paolo
    2023-02-20 | PDF
    Cracks are one of the main defects on concrete surfaces, and they are indicators of concrete structures' state of health. Because traditional methods to identify and assess cracks rely on manual measurements, a significant number of studies have focused on identifying ways to automate this process. Accordingly, this study proposed to combine convol ...
  • A Machine LearningAssisted Framework for Determination of Performance Degradation Causes and Selection of Channel Switching Strategy in Vehicular Networks
    A Machine Learning-Assisted Framework for Determination of Performance Degradation Causes and Selection of Channel Switching Strategy in Vehicular Networks
    Huang, Chin Tser ;
    Comert, Gurcan
    2023-02-01 | PDF
    As all three major US mobile carriers have launched their own 5G networks and are working hard to expand their coverage nationwide, 5G has come into everyone's daily life. 5G networks use millimeter-wave (mm-Wave) for higher speeds, while 4G long-term evolution (LTE) networks favor lower-band spectrum for better coverage. Vehicle-to-vehicle (V2V) c ...
  • Enabling a New Data Science for Urban Accessibility for All [Supporting Dataset]
    Froehlich, Jon E
    ORCID ICON IMG
    2023-02-01 | BIN
    We are developing new data collection approaches that use a combination of remote crowdsourcing, machine learning, and online map imagery. Our 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. Aided, in part ...
    Dataset
  • Developing a Culvert Inspection Manual and Estimating Culverts Deterioration Curve Inspection Frequency and Service Life for UDOT
    Developing a Culvert Inspection Manual and Estimating Culverts' Deterioration Curve, Inspection Frequency and Service Life for UDOT
    Mohammadi, Pouria ;
    Sherafat, Behnam
    2023-02-01 | PDF
    Culverts are among the most important assets of state transportation departments. As culvert inspection and maintenance are critical to the safe operation of transportation infrastructure systems and preventing injuries, human life losses, and heavy financial losses, they should be inspected and maintained regularly. Several state DOTs and the Amer ...
  • Assessing the Impact of Ridehailing Service Use on Bus Ridership A Joint Modeling Framework Accounting for Endogeneity and Latent Attitudes
    Assessing the Impact of Ridehailing Service Use on Bus Ridership: A Joint Modeling Framework Accounting for Endogeneity and Latent Attitudes
    Pendyala, Ram M. ;
    Khoeini, Sara
    2023-02-01 | PDF
    This project involves the use of machine learning methods to impute attitudes into the Georgia subsample of the 2016-17 National Household Travel Survey, training the algorithms on the responses to a 2017 attitudinal survey administered to a separate statewide sample in Georgia. The "common variables" needed to train the learning function will incl ...
  • A Machine LearningAssisted Framework for Determination of Performance Degradation Causes and Selection of Channel Switching Strategy in Vehicular Networks Technology Transfer Activities
    A Machine Learning-Assisted Framework for Determination of Performance Degradation Causes and Selection of Channel Switching Strategy in Vehicular Networks [Technology Transfer Activities]
    Huang, Chin-tser ;
    Comert, Gurcan
    2023-02-01 | PDF
    We expect this study to add knowledge to the transportation community and the public. Our research suggests that LSTM has the potential to forecast communication degradation in future autonomous vehicle designs. Additionally, our simulation results indicate that the amplitude of linearly polarized electric fields is less affected by dust and sand c ...
  • Rotorcraft Wire Strike Prevention and Protection Wire Database Creation Sensor Package Design Wire Cutter Modeling Data Fusion and Helicopter Operators Inputs
    Rotorcraft Wire Strike Prevention and Protection: Wire Database Creation, Sensor Package Design, Wire Cutter Modeling, Data Fusion, and Helicopter Operators' Inputs
    Achour, Gabriel ;
    Harris, Caleb
    2023-02-01 | PDF
    Wire strikes have been one of the most common sources of helicopter accidents in the past seven years. The sizes of poles and wires make it difficult for rotorcraft pilots to see them in-flight. This motivates the need to provide pilots with various tools and information to prevent accidents related to wire strikes. In this report, we present diffe ...
  • Summary Report on Request for Information RFI Enhancing the Safety of Vulnerable Road Users at Intersections
    Summary Report on Request for Information (RFI): Enhancing the Safety of Vulnerable Road Users at Intersections
    Townsend, Haley ;
    Gatiba, Adam
    2023-02-01 | PDF
    In response to growing concerns regarding the safety of vulnerable road users at intersections and as part of the recent National Roadway Safety Strategy (NRSS) Call to Action, DOT aims to transform intersection safety through the innovative application of emerging technologies to identify and mitigate unsafe conditions involving vehicles and vulne ...
  • Artificial Intelligence Risk Management Framework AI RMF 10
    Artificial Intelligence Risk Management Framework (AI RMF 1.0)
    United States. Department of Commerce. National Institute of Standards and Technology
    2023-01-26 | PDF
    As directed by the National Artificial Intelligence Initiative Act of 2020 (P.L. 116-283), the goal of the AI RMF is to offer a resource to the organizations designing, developing, deploying, or using AI systems to help manage the many risks of AI and promote trustworthy and responsible development and use of AI systems. The Framework is intended t ...
    Supporting Files
  • DroneBased Computer VisionEnabled Vehicle Dynamic Mobility and Safety Performance Monitoring
    Drone-Based Computer Vision-Enabled Vehicle Dynamic Mobility and Safety Performance Monitoring
    Zhang, Guohui ;
    Yuan, Runze
    2023-01-07 | PDF
    This report documents the research activities to develop a drone-based computer vision-enabled vehicle dynamic safety performance monitoring in Rural, Isolated, Tribal, or Indigenous (RITI) communities. The acquisition of traffic system information, especially the vehicle speed and trajectory information, is of great significance to the study of th ...
  • Applying AI to Data Sources to Improve DriverPedestrian Interactions at Intersections Research Brief
    Applying AI to Data Sources to Improve Driver-Pedestrian Interactions at Intersections [Research Brief]
    Chakraborty, Subhadeep
    ORCID ICON IMG
    2023-01-01 | PDF
    Tragically, roadway crossings sometimes act as killing fields, especially for pedestrian-vehicle collisions; intersections account for 40% of transportation crashes in the United States. To mitigate such incidents, pedestrian safety at intersections must be addressed effectively.
  • Role of Artificial Intelligence in Automated Driving Systems
    Role of Artificial Intelligence in Automated Driving Systems
    Sarkar, Abhijit
    ORCID ICON IMG
    2023-01-01 | PDF
    Results from "Real-time Risk Prediction at Signalized Intersections Using a Graph Neural Network" project were used to develop course module in the Virginia Tech course, BMES 5234: Adv Vehicle Safety Systems. The module presents on "Computer Vision and Machine learning in transportation research".
  • Prediction of Interstate Travel Time Reliability Phase II
    Prediction of Interstate Travel Time Reliability: Phase II
    Zhao, Mo ;
    Appiah, Justice
    2023-01-01 | PDF
    Accurate prediction of travel time reliability measures would help state departments of transportation set performance targets and communicate the progress toward meeting those targets as required by the Moving Ahead for Progress in the 21st Century Act (MAP-21). In a recent Virginia Transportation Research Council study, Methods to Analyze and Pre ...
  • MIMIC Multidisciplinary Initiative on Methods to Integrate and Create Realistic Artificial Data
    MIMIC - Multidisciplinary Initiative on Methods to Integrate and Create Realistic Artificial Data
    Edara, Praveen K. ;
    Sun, Carlos
    2023-01-01 | PDF
    Traditional safety modeling efforts primarily focus on accurately estimating crash frequencies or rates. The true relationships between crashes and potential causal factors are not always easily discernible from safety models. While a model consisting of multiple causal factors may produce accurate estimates of crash measures, it may not accurately ...
  • TwoDimensional Modeling of Bicycle Behavior
    Two-Dimensional Modeling of Bicycle Behavior
    Fadhloun, Karim ;
    Rakha, Hashem
    2023-01-01 | PDF
    This research first develops a descriptive model that is capable of capturing the inherent non-lane-based traffic behavior characteristics of bicycles. To that end, the research team expands upon the existing Fadhloun-Rakha bicycle-following longitudinal motion model by complementing it with a lateral motion strategy, thus allowing for overtaking m ...
  • Pedestrian Safety Analysis Using Computer Vision
    Pedestrian Safety Analysis Using Computer Vision
    Champlin, Daniel ;
    Hanson, Lane
    2023-01-01 | PDF
    The goal of this research project was to explore the capabilities of computer vision for pedestrian safety analysis. Computer vision, an AI application in image processing, tracks the movement of cars, bikes, and pedestrians, offering superior information about speed, trajectory, and count data for various transportation modes. The University of Id ...
  • Smart Compaction for Infrastructure Materials
    Smart Compaction for Infrastructure Materials
    Shen, Shihui ;
    Yu, Shuai
    2022-12-31 | PDF
    Compaction is a process of rearranging material particles by various mechanical loadings to densify the materials and form a stable pavement structure. Current methods to assess the compaction quality rely heavily on engineers' experiences or post-compaction methods at selected spots. The experience-based method is prone to cause compaction problem ...
  • DataDriven Bridge Management Using Descriptive and Predictive Machine Learning Models
    Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models
    Banaei-Kashani, Farnoush ;
    Arens, Kevin
    2022-12-01 | PDF
    Bridges deteriorate with time and use. To monitor deterioration of the bridges, several US Acts mandate the state and local governmental agencies (including cities, state transportation agencies, etc.) to perform regular bridge inspections. The aforementioned inspections across the nation, which have been conducted since 1970's (including our regio ...
  • Deep Learning Models and Tools for Disaster Evacuation and Routing
    Deep Learning Models and Tools for Disaster Evacuation and Routing
    Corns, Steven M ;
    Long, Suzanna K
    2022-12-01 | PDF
    Engineering managers and transportations planners need robust tools to communicate evacuation routing plans following disruptions from earthquake events. The project will use the New Madrid Seismic Zone in South-East Missouri as a testbed for modeling the response to an earthquake and aftershocks at Magnitude 8+. This area was chosen as it allows s ...
401 - 420 / 613
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