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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 581 - 600 of 613 results
  • FlyBy Image Processing for RealTime Congestion Mitigation
    Fly-By Image Processing for Real-Time Congestion Mitigation
    Uddin, Nasim ;
    Williams, Billy M.
    2021-05-13 | PDF
    Traffic monitoring is the centerpiece of congestion mitigation and traffic management. Whilst surveillance technologies have matured enough to provide informative depiction for the traffic, the current state-of-the-art systems cannot support immediate congestion problems. Proactive congestion mitigation requires a) real-time surveillance for traffi ...
  • Discovering Potential Market for the Integration of Public Transportation and Emerging Shared Mobility Services
    Discovering Potential Market for the Integration of Public Transportation and Emerging Shared Mobility Services
    Du, Lili ;
    Jin, Xia
    2021-05-07 | PDF
    This project conducted a comprehensive data analysis to answer two questions: 1) Who are the potential demands with high probability to use intermodal services provided by hybrid systems? (Task 1); 2) Where and when are the supply gaps to coordinate public transit services with shared-mobility service? (Task 2). To accomplish these research objecti ...
  • Implementing Machine Learning With Highway Datasets
    Implementing Machine Learning With Highway Datasets
    Zhang, Yunfeng ;
    Cutts, Ross
    2021-05-01 | PDF
    Every year MDOT invests millions of dollars into testing geomaterials, digitizing historic records and capturing inventory and condition data. Massive amounts of tabular data, documentation and imagery, which are relevant for planning and engineering purposes, continue to be accumulated. The engineering characteristics of pavement or other material ...
  • Field Demonstration of GPR and UAV Technologies for Evaluation of Two US 7577 Bridges
    Field Demonstration of GPR and UAV Technologies for Evaluation of Two US 75/77 Bridges
    Pashoutani, Sepehr ;
    Zhu, Jinying
    2021-05-01 | PDF
    Two Nebraska bridges with asphalt overlay were selected for nondestructive testing and evaluation (NDT/NDE). Three NDT techniques were conducted on these two bridges, including Ground Penetrating Radar (GPR), Half-Cell Potential (HCP) and Unmanned Aerial Vehicle (UAV) imaging. NDT data were collected during three construction stages of the bridges: ...
  • Detecting Pavement Distresses Using Crowdsourced Dashcam Camera Images
    Detecting Pavement Distresses Using Crowdsourced Dashcam Camera Images
    Dadashova, Bahar ;
    Dobrovolny, Chiara Silvestri
    2021-05-01 | PDF
    Pavements play a vital role in the transportation infrastructure in the United States. Damage to public road transportation infrastructure causes roadways to fail to perform as intended and increases crash risks. Road damage must be detected quickly and accurately in order to maintain roads and effectively allocate repair money. In this study, four ...
  • Concrete Bridge Deck Deterioration Assessment Using Ground Penetrating Radar
    Concrete Bridge Deck Deterioration Assessment Using Ground Penetrating Radar
    Hu, Da ;
    Li, Shuai
    2021-05-01 | PDF
    Ground penetrating radar (GPR) is a non-destructive technique that has been used to inspect and assess concrete bridge deck deterioration. The objective of this project is to investigate the use of GPR in concrete bridge deck inspection and develop semi-automated tools to process GPR data for detecting, mapping, and visualizing potential deteriorat ...
  • Artificial Intelligence Design for Trucks Passing Signalized Intersections Along a Corridor with Significant Freight Traffic
    Artificial Intelligence Design for Trucks Passing Signalized Intersections Along a Corridor with Significant Freight Traffic
    Xiao, Xiao ;
    Zhang, Yulong
    2021-05-01 | PDF
    Freight traffic, particularly when it's significant in proportion, affects the performance of the road network in a more sensitive and significant way compared to other types of traffic, in the aspects of mobility, environment, and safety due to the complexity of characteristics of the resulting mixed-class traffic. Trucks need extra distance and t ...
  • Wireless Crack Sensing Systems for Bridges
    Wireless Crack Sensing Systems for Bridges
    Wu, Chenglin
    ORCID ICON IMG
    2021-05-01 | PDF
    The main objective of this research was to develop and deploy a wireless crack sensing system that can measure and monitor cracks for both concrete and steel bridge structures. This system contained the sensing unit, wireless data transmitting system, as well as a data processing unit. The sensing unit consisted of single or arrays of advanced thin ...
  • Unmanned Aircraft Systems UAS Metro District Bridge Inspection Implementation
    Unmanned Aircraft Systems (UAS) - Metro District Bridge Inspection Implementation
    Wells, Jennifer ;
    Lovelace, Barritt
    2021-05-01 | PDF
    Drones for bridge inspection research has been completed by MnDOT in multiple phases since 2015. As of summer, 2017, Phase III of this research began using the SenseFly Albris and the Flyability Elios, a collision-tolerant drone more suited to confined spaces such as box girders, culverts, or areas that are difficult to access. Due to the success o ...
  • Predicting Vehicle Trajectories at Intersections Using Advanced Machine Learning Techniques
    Predicting Vehicle Trajectories at Intersections Using Advanced Machine Learning Techniques
    Jazayeri, Mohammad Sadegh ;
    Jahangiri, Arash
    2021-05-01 | PDF
    The ability to accurately predict vehicle trajectories is essential in infrastructure-based safety systems that aim to identify critical events such as near-crash situations and traffic violations. In a connected environment, important information about these critical events can be communicated to road users or the infrastructure to avoid or mitiga ...
  • Reference Machine Vision for ADAS Functions
    Reference Machine Vision for ADAS Functions
    Nayak, Abhishek ;
    Rathinam, Sivakumar
    2021-05-01 | PDF
    Studies have shown that fatalities due to unintentional roadway departures can be significantly reduced if Lane Departure Warning and Lane Keep Assist systems are used effectively. However, these systems have not been widely adopted due, in part, to the lack of suitable standards for pavement markings that enable reliable functionality of sensor sy ...
  • Artificial Intelligence AI For Intelligent Transportation Systems ITS Program RealWorld AI Scenarios in Transportation for Possible Deployment
    Artificial Intelligence (AI) For Intelligent Transportation Systems (ITS) Program: Real-World AI Scenarios in Transportation for Possible Deployment
    United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
    2021-04-27 | PDF
    The Identifying Real-World Transportation Applications Using Artificial Intelligence (AI): Real-World AI Scenarios in Transportation for Possible Deployment report (July 2020, FHWA-JPO-20-810) identifies practical real-world scenarios where AI offers the potential to address specific transportation needs. These high-value scenarios serve as a templ ...
  • Artificial Intelligence AI for Intelligent Transportation Systems ITS Program Potential Application of AI in Transportation
    Artificial Intelligence (AI) for Intelligent Transportation Systems (ITS) Program: Potential Application of AI in Transportation
    United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
    2021-04-27 | PDF
    AI is revolutionizing every walk of life, allowing machines to learn from experience, adapt, and perform tasks that have historically required human cognition. The ITS Joint Program Office (JPO) established research in AI as a priority area to accelerate adoption of AI by state and local agencies for addressing transportation problems. The Identify ...
  • Fly-By Image Processing for Real-Time Congestion Mitigation [supporting datasets]
    Uddin, Nasim ;
    Latef, Abdel Aziz Abdel
    2021-04-14 | PDF
    Traffic monitoring is the centerpiece of congestion mitigation and traffic management. Whilst surveillance technologies have matured enough to provide informative depiction for the traffic, the current state-of-the-art systems cannot support immediate congestion problems. Proactive congestion mitigation requires a) real-time surveillance for traffi ...
    Dataset Supporting Files
  • Estimating Traffic Stream Density Using Connected Vehicle Data
    Estimating Traffic Stream Density Using Connected Vehicle Data
    Aljamal, Mohammad A ;
    Abdelghaffar, Hossam M.
    2021-04-01 | PDF
    The macroscopic traffic stream density is crucial in advanced traffic management systems. However, measuring the traffic density in the field is difficult since it is categorized as a spatial measurement. In this report, several estimation approaches are developed to estimate the traffic stream density on signalized links using connected vehicle (C ...
  • Automated Video Inspection System for Grade Crossing Safety Research Results
    Automated Video Inspection System for Grade Crossing Safety [Research Results]
    Baillargeon, Jay ;
    Doran, Joshua
    2021-04-01 | PDF
    The Federal Railroad Administration (FRA) has sponsored several programs to help reduce incidents at highway-rail crossings and improve the safety of both vehicles and pedestrians. One such recent project developed an artificial intelligence (AI)-based machine vision system to help inspect highway-rail grade crossings with forward-facing video (FFV ...
  • Evaluating the Safety and Mobility Impacts of American Dream Complex Phase I Feasibility Study and Data Acquisition
    Evaluating the Safety and Mobility Impacts of American Dream Complex: Phase I (Feasibility Study, and Data Acquisition)
    Jalayer, Mohammad ;
    Patel, Deep
    2021-04-01 | PDF
    Traffic congestion and motor vehicle crashes are perceived as pivotal concerns that are particularly difficult to manage in high-density urban areas. Thus, mitigating traffic congestion and improving users' safety on roadways are top priorities of the United States Department of Transportation (USDOT). American Dream Complex, located outside New Yo ...
  • AI Pedestrian Traffic Safety System
    AI Pedestrian Traffic Safety System
    Mineta Consortium  ...
    2021-04-01 | UTC Spotlight Newsletter | PDF
    According to the U.S. Department of Transportation (USDOT) and the National Highway Traffic Safety Administration (NHTSA), the number of traffic fatalities in the United States was 36,096 in 2019, which is more than 11.17 deaths per 100,000 population. In 2019, more than 240 people died in traffic accidents in the city of Los Angeles alone, with pe ...
  • Predicting Bus Travel Times in Washington DC Using Artificial Neural Networks ANNs
    Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs)
    Arhin, Stephen ;
    Manandhar, Babin
    2021-04-01 | PDF
    Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to prov ...
  • Reference Machine Vision for ADAS Functions [supporting datasets]
    Nayak, Abhishek ;
    Rathinam, Sivakumar
    2021-03-31 | PDF
    Studies have shown that fatalities due to unintentional roadway departures can be significantly reduced if Lane Departure Warning and Lane Keep Assist systems are used effectively. However, these systems have not been widely adopted due, in part, to the lack of suitable standards for pavement markings that enable reliable functionality of sensor sy ...
    Dataset Supporting Files
581 - 600 / 613
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