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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 341 - 360 of 613 results
  • Developing MassachusettsSpecific Trip Generation Models for Land Use Projects
    Developing Massachusetts-Specific Trip Generation Models for Land Use Projects
    Xie, Yuanchang ;
    Loesch, Brandon
    2023-09-01 | PDF
    Vehicle trip generation is used to identify potential transportation impacts associated with new development projects and to provide a substantive basis for determining appropriate impact mitigation strategies. In the United States, trip rate estimation typically relies on vehicle trip rates for specific land use types as provided in the Trip Gener ...
  • An Artificial Intelligence AI Based Overheight Vehicle Warning System for Bridges
    An Artificial Intelligence (AI) Based Overheight Vehicle Warning System for Bridges
    Agrawal, Anil ;
    Kumar, Deepak
    2023-09-01 | PDF
    Impact of overheight vehicles on bridges is a major problem that causes extensive damage and leads to frequent traffic and mobility issues. This research proposes conceptual development of a low-cost Artificial Intelligence- (AI)-based overheight vehicle warning system for bridges based on the use of cutting-edge camera technology and AI-based heig ...
  • Developing Robust Smart Traffic Signal Control
    Developing Robust Smart Traffic Signal Control
    Li, Tianxin ;
    Machemehl, Randy
    2023-09-01 | PDF
    Traffic signal control is a crucial element of urban mobility that profoundly influences transportation network efficiency and safety. Traditional traffic signal control systems rely on fixed-time or actuated signal timings, often failing to adapt to dynamic traffic demands and congestion patterns. This technical report explores the application of ...
  • Artificial Intelligence AI Based Tool to Estimate Contract Time
    Artificial Intelligence (AI) Based Tool to Estimate Contract Time
    Jeong, H David ;
    Alikhani, Hamed
    2023-09-01 | PDF
    MDT is in the process of modernizing their contract time determination processes by developing user-friendly tools to facilitate the estimation process of project duration and contract time. As part of this modernization effort, a top-down project duration estimation tool was developed in this research project. This tool is particularly useful when ...
  • Assurance of Machine LearningBased Aerospace Systems Towards an Overarching PropertiesDriven Approach
    Assurance of Machine Learning-Based Aerospace Systems: Towards an Overarching Properties-Driven Approach
    Paul, Saswata ;
    Prince, Dan
    2023-09-01 | PDF
    Traditional process-based approaches of certifying aerospace digital systems are not sufficient to address the challenges associated with using Artificial Intelligence (AI) or Machine Learning (ML) techniques. To address this, agencies are evaluating an alternative Means of Compliance (MoC) called the Overarching Properties (OP). The goals for this ...
  • CostEffective Approach towards Building a Traffic Sign Data Inventory Using Open Street Images
    Cost-Effective Approach towards Building a Traffic Sign Data Inventory Using Open Street Images
    Wang, Yinhai ;
    Sun, Wei
    2023-09-01 | PDF
    A computer vision algorithm has been applied to facilitate traffic sign detection and recognition tasks and solve labor-intensive issues. As public traffic signs datasets were collected in different regions, the existing models cannot be directly implemented into the US environment. Therefore, this study collected an additional 5,000 traffic signs ...
  • Leveraging Artificial Intelligence AI Techniques to Detect Forecast and Manage Freeway Congestion Technical Report
    Leveraging Artificial Intelligence (AI) Techniques to Detect, Forecast, and Manage Freeway Congestion: Technical Report
    Das, Subasish ;
    Tsapakis, Ioannis
    2023-09-01 | PDF
    Enhancing the quality and efficiency of the Texas surface transportation system necessitates reliable predictions about the initiation and dispersion of prolonged congestion, as well as effective tracking of atypical events and their potential evolution. Artificial intelligence (AI) offers a unique avenue for achieving these goals, presenting an op ...
  • AIEnabled Transportation Network Analysis Planning and Operations
    AI-Enabled Transportation Network Analysis, Planning and Operations
    Yin, Yafeng ;
    Liu, Zhichen
    2023-08-31 | PDF
    This study introduces a unified end-to-end framework for analyzing network traffic equilibrium. The framework learns supply and demand components directly from traffic data, using computational graphs to parameterize unknown elements. It enforces user equilibrium through variational inequalities and can incorporate various modeling approaches, incl ...
  • Leveraging Artificial Intelligence AI Techniques to Detect Forecast and Manage Freeway Congestion Project Summary
    Leveraging Artificial Intelligence (AI) Techniques to Detect, Forecast, and Manage Freeway Congestion [Project Summary]
    Tsapakis, Ioannis ;
    Das, Subasish
    2023-08-31 | PDF
    In this research project, researchers designed a comprehensive survey to understand the freeway congestion reduction practices state departments of transportation employed by using big data. This survey addressed topics such as data collection methods, data analysis techniques, big data platform usage, report creation practices, and future needs.
  • Developing Artificial Intelligence Driven Safe Navigation Tool [supporting dataset]
    Das, Subasish ;
    Tsapakis, Ioannis
    2023-08-08 | JSON
    Popular navigation applications such as Google Maps and Apple Maps provide distance-based or travel time based alternative routes with no real-time risk scoring. There is a need for a real-time navigation system that can provide the data-driven decision on the safest path or route. By leveraging data from a diverse range of historical and real-time ...
    Dataset
  • Artificial Intelligence AI for Building a Landslide Inventory Advanced Landslide Warning System in PA
    Artificial Intelligence (AI) for Building a Landslide Inventory & Advanced Landslide Warning System in PA
    Qiu, Tong ;
    Xiong, Jun
    2023-08-03 | PDF
    This report presents the results of a study aiming at developing artificial intelligence (AI) models for advanced warning of rainfall induced landslides for unstable slopes above or below state-maintained roadways in Pennsylvania. Two landslide databases for spatial and spatiotemporal analyses of landslides in Pennsylvania and adjacent areas are co ...
  • Artificial Intelligence for Optimal Truck Platooning Impact on Autonomous Freight Delivery
    Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery
    Liu, Tong ;
    Meidani, Hadi
    2023-08-01 | PDF
    The advancements in autonomous- and connected-vehicle technologies bring drastic changes in freight delivery. Vehicle-to-vehicle and vehicle-to-infrastructure communication has become a reality with the help of autonomous and connected vehicles. One of the most notable changes is the formation of truck platoons. Despite the numerous benefits of tru ...
  • Drivers Attitudes Toward Rerouting Impacts on Network Congestion
    Drivers' Attitudes Toward Rerouting: Impacts on Network Congestion
    Liu, Ziming ;
    Laval, Jorge A.
    2023-08-01 | PDF
    Bifurcation, a phenomenon that always occurs in the transition phase between free flow and congestion in the macroscopic fundamental diagram (MFD), have been suspected of decreasing network efficiency. Some studies have shown that rerouting behavior will effectively postpone the occurrence of bifurcation. On the other hand, deep neural networks wit ...
  • A Comparative Study of Pedestrian Crossing Behavior and Safety in Baltimore MD and Washington DC Using Video Surveillance
    A Comparative Study of Pedestrian Crossing Behavior and Safety in Baltimore, MD and Washington, DC Using Video Surveillance
    Chavis, Celeste ;
    Nyarko, Kofi
    2023-08-01 | PDF
    Pedestrian safety is of paramount importance in urban transportation, and it is a key goal of initiatives such as Vision Zero. Washington, D.C., and Baltimore, Maryland, have experienced a significant number of traffic accidents in recent years, with pedestrians being particularly vulnerable. Video surveillance has long been established as a valuab ...
  • Deep Learning Software for Traffic State Prediction
    Deep Learning Software for Traffic State Prediction
    Bhattacharya, Sambit ;
    Park, Hyoshin
    2023-08-01 | PDF
    As urban populations continue to grow, traffic congestion has become an increasingly pressing issue for drivers, leading to a greater demand for advanced navigation aids and traffic management solutions. Real-time traffic information, advanced traffic signal control strategies, and the integration of various data sources can play a crucial role in ...
  • Developing Artificial Intelligence Driven Safe Navigation Tool
    Developing Artificial Intelligence Driven Safe Navigation Tool
    Das, Subasish ;
    Tsapakis, Ioannis
    2023-08-01 | PDF
    Popular navigation applications such as Google Maps and Apple Maps provide distance-based or travel time based alternative routes with no real-time risk scoring. There is a need for a real-time navigation system that can provide the data-driven decision on the safest path or route. By leveraging data from a diverse range of historical and real-time ...
  • SystemofSystems Integration for Civil Infrastructures Resiliency toward MultiHazard Events
    System-of-Systems Integration for Civil Infrastructures Resiliency toward Multi-Hazard Events
    Balali, Vahid
    2023-08-01 | PDF
    Civil infrastructure systems-facilities that supply principal services, such as electricity, water, transportation, etc., to a community-are the backbone of modern society. These systems are frequently subject to multi-hazard events, such as earthquakes. The poor resiliency of these infrastructures results in many human casualties and significant e ...
  • KnowledgeBased Machine Learning for Freeway COVID19 Traffic Impact Analysis and Traffic Incident Management
    Knowledge-Based Machine Learning for Freeway COVID-19 Traffic Impact Analysis and Traffic Incident Management
    Lu, Pan ;
    Yang, Xianfeng (Terry)
    2023-08-01 | PDF
    The U.S. Department of Transportation (USDOT) needs to respond quickly and adapt to the coronavirus (COVID- 19) to ensure continuation of critical infrastructure support and relief for the American people. Since early March 2020, the COVID-19 pandemic has had significant impact on traffic across the United States. It is clear to see that traffic pa ...
  • KnowledgeBased Machine Learning for Freeway COVID19 Traffic Impact Analysis and Traffic Incident Management Research Brief
    Knowledge-Based Machine Learning for Freeway COVID-19 Traffic Impact Analysis and Traffic Incident Management [Research Brief]
    Lu, Pan ;
    Yang, Xianfeng (Terry)
    2023-08-01 | PDF
    Researchers examined the impacts of COVID-19 on traffic safety in three different stages to better understand the relationship between traffic demand patterns, daily confirmed cases/deaths, state policies, and public perceptions and other factors.
  • WSDOT Maintenance Performance Measure Algorithms
    WSDOT Maintenance Performance Measure Algorithms
    Shrestha, Kishor
    ORCID ICON IMG
    2023-08-01 | PDF
    This research project focuses on deteriorating roadway asset conditions, emphasizing the challenges encountered by the roadway maintenance division of the Washington State Department of Transportation (WSDOT). The project goal is to develop algorithms for prediction models that will forecast the levels of service (LOS) performance conditions of six ...
341 - 360 / 613
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