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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 361 - 380 of 613 results
  • Automatic Detection and Localization of Roadwork
    Automatic Detection and Localization of Roadwork
    Narasimhan, Srinivas ;
    Tamburo, Robert
    2023-07-31 | PDF
    Roadwork zones present a serious impediment to vehicular mobility. Whether new construction or maintenance is taking place, work in road environments cause lower vehicle speeds, congestion, increased risk of rear-end collisions, and more difficult maneuvering. Crowd-sourced navigation systems like Waze warn drivers of roadworks, but those data must ...
  • Image Processing Approaches to Traffic Situation Understanding Risk Assessment and Safety
    Image Processing Approaches to Traffic Situation Understanding, Risk Assessment, and Safety
    Yang, Dongfang ;
    Ozguner, Umit
    2023-07-28 | PDF
    This project will explore several potential applications of image processing, including NN/deep learning technologies, to the analysis of traffic scenes involving passenger and transit vehicles. The project team outlines three potential applications below- the exact distribution of effort and topics addressed will depend on the availability of stud ...
  • Applying AI to Data Sources to Improve DriverPedestrian Interactions at Intersections
    Applying AI to Data Sources to Improve Driver-Pedestrian Interactions at Intersections
    Chakraborty, Subhadeep ;
    Khattak, Asad
    2023-07-15 | PDF
    Tragically, roadway crossings sometimes act as killing fields, especially for pedestrian-vehicle collisions, with intersections accounting for 40% of transportation crashes in the US. This emphasizes the importance of effectively addressing pedestrian safety at intersections to mitigate such incidents. The first chapter of this report incorporates ...
  • Applying AI to Data Sources to Improve Driver-Pedestrian Interactions at Intersections [supporting dataset]
    Chakraborty, Subhadeep ;
    Khattak, Asad
    2023-07-15 | JSON
    Tragically, roadway crossings sometimes act as killing fields, especially for pedestrian-vehicle collisions, with intersections accounting for 40% of transportation crashes in the US. This emphasizes the importance of effectively addressing pedestrian safety at intersections to mitigate such incidents. The first chapter of this report incorporates ...
    Dataset
  • PhysicsInformed Ensemble Machine Learning Framework for Improved Prediction of TunnelingInduced Short and LongTerm Ground Settlement
    Physics-Informed Ensemble Machine Learning Framework for Improved Prediction of Tunneling-Induced Short- and Long-Term Ground Settlement
    Liu, Linan ;
    Zhou, Wendy
    2023-07-15 | PDF
    Machine learning (ML), one of the AI techniques, has been used in geotechnical engineering for over three decades, resulting in more than 600 peer-reviewed papers. However, AI applications in geotechnical engineering are significantly lagging compared with other fields. One of the reasons for the lagging is that hyperparameters used in many AI tech ...
  • Impact of Access Management on Driver Behaviors
    Impact of Access Management on Driver Behaviors
    Cuddy, Matthew ;
    Abodo, Franklin
    2023-07-01 | PDF
    This project started with a broad question: What can new, rich naturalistic driver data such as in the Second Strategic Highway Research Program's Naturalistic Driving Study (SHRP2-NDS), tell us about how drivers react to roadway designs and access management techniques? To address this question, the project team reviewed and analyzed 6,209 trips t ...
  • Alleviating Traffic Congestion Developing and Evaluating Novel MultiAgent Reinforcement Learning Traffic Light Coordination Techniques
    Alleviating Traffic Congestion: Developing and Evaluating Novel Multi-Agent Reinforcement Learning Traffic Light Coordination Techniques
    Fang, Fei ;
    Sadeh, Norman
    2023-07-01 | PDF
    Traffic congestion costs American cities tens of billions of dollars per year, not to mention its negative impact on the environment or people's mental health. Novel Markov game models and advanced reinforcement learning algorithms hold the promise of drastically alleviating congestion through dynamic coordination of traffic signals and adaptive te ...
  • DashcamEnabled Deep Learning Applications for Airport Runway Pavement Distress Detection
    Dashcam-Enabled Deep Learning Applications for Airport Runway Pavement Distress Detection
    Malekloo, Arman ;
    Liu, Xiaoyue Cathy
    2023-07-01 | PDF
    Pavement distress detection plays a vital role in ensuring the safety and longevity of runway infrastructure. This project presents a comprehensive approach to automate distress detection and geolocation on runway pavement using state-of-the-art deep learning techniques. A Faster R-CNN model is trained to accurately identify and classify various di ...
  • CloudBased Collaborative Road Condition Monitoring Using InVehicle Smartphone Data
    Cloud-Based Collaborative Road Condition Monitoring Using In-Vehicle Smartphone Data
    Jia, Yunyi ;
    Comert, Gurcan
    2023-07-01 | PDF
    Ensuring the safety of transportation systems requires monitoring the conditions of roads. Traditional monitoring and inspection of road conditions require surveyors to walk or drive along the roads to search for defects manually. Such processes require a lot of human and equipment efforts, which however can still hardly provide real-time informati ...
  • A RiskBased Framework for Optimizing Inspection Planning of Utah Culverts Research Brief
    A Risk-Based Framework for Optimizing Inspection Planning of Utah Culverts [Research Brief]
    Rashidi, Abbas ;
    Mohammadi, Pouria
    2023-07-01 | PDF
    Researchers developed a robust framework to enhance culvert inspection planning in Utah as the first step in developing the CMS. The objective of this study is to assist UDOT in establishing a comprehensive CMS by creating a Utah culvert management manual. To achieve this, the researchers identified the culvert deterioration curves based on histori ...
  • Tapping Into Autonomous Trucking Data An Intelligent Routine Maintenance Framework for Texas
    Tapping Into Autonomous Trucking Data: An Intelligent Routine Maintenance Framework for Texas
    Chin, Kristie ;
    McAuley, Anna
    2023-07-01 | PDF
    Texas has become a major hub for autonomous trucking activity, with companies operating routes daily and continuing to expand operations onto new roadways. Equipped with high-definition cameras and sensor suites, autonomous trucks present a new data opportunity for the Texas Department of Transportation (TxDOT) to improve its routine maintenance op ...
  • Safety Enhancement by Detecting Driver Impairment Through Analysis of RealTime Volatilities
    Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities
    Khattak, Asad J. ;
    Chakraborty, Subhadeep
    2023-07-01 | PDF
    Distracted driving can lead to driving instability and result in crashes causing injuries and the loss of valuable lives. Early detection of driver distraction is critical to alert drivers by providing feedback and warning messages. This project develops a framework to detect driver impairment using extensive real-time driver biometric information ...
  • Measuring Food Access to Improve Public Health
    Measuring Food Access to Improve Public Health
    Christofa, Eleni ;
    Gonzales, Eric J.
    2023-07-01 | PDF
    Food access is important due to its impact on public health outcomes. A food access metric proposed for four different transportation modes is the square footage of supermarkets that can be reached within 10 minutes travel time walking, biking, driving, and 30 minutes travel time by walk/transit. The spatial analysis is conducted for the centroids ...
  • Intelligent Queue Length Estimation on Ramps Using Computer Vision and Machine Learning Algorithms
    Intelligent Queue Length Estimation on Ramps Using Computer Vision and Machine Learning Algorithms
    Tiwari, Sushant ;
    Rashidi, Abbas
    2023-07-01 | PDF
    Traffic sensors are utilized to capture real-time traffic parameters. Many Departments of Transportation in the United States use inductance loops. Induction loops often fail to give accurate results during highly congested periods, which is the most crucial time for ramp metering operations. Image processing and computer vision may provide an alte ...
  • MultimodalAI Based Roadway Hazard Identification and Warning Using Onboard Smartphones with CloudBased Fusion
    Multimodal-AI Based Roadway Hazard Identification and Warning Using Onboard Smartphones with Cloud-Based Fusion
    Bhosale, Mayuresh ;
    Guo, Longxiang
    2023-07-01 | PDF
    Road hazards are one of the significant causes of fatality in road accidents. Accurate estimation of road hazards can ensure safety and enhance the driving experience. Existing methods of road condition monitoring are time-consuming, expensive, inefficient, require much human effort, and need to be regularly updated. There is a requirement for a fl ...
  • Machine Learning-Based High-Fidelity Mesoscopic Modeling Tool for Traffic Network Optimization [supporting dataset]
    Heckendorn, Robert B
    2023-06-13 | JSON
    Traffic signal control of the future will adapt in real time to traffic, driving, and environmental conditions. The adaptations will require real-time optimization based on traffic monitoring. However, for optimization to work, it must be able to predict what traffic will do in response to changes in signal timing. Furthermore, it must do this pred ...
    Dataset
  • Developing Enhanced Performance Curves of ITD Asphalt Pavements by Mining the Historical Data
    Developing Enhanced Performance Curves of ITD Asphalt Pavements by Mining the Historical Data
    Deng, Yong ;
    Shi, Xianming
    2023-06-01 | PDF
    Current ITD approach to predict asphalt pavement performance over-simplifies the dynamic and nonlinear nature of pavement deterioration and fails to account for complexities in the pavement condition. As such, this project aimed to develop reliable, realistic and enhanced performance curves for ITD asphalt pavements by mining the historical data. T ...
  • Assessment of Motorcycle Safety in Wyoming Fatal and Severe Crashes Contributing Factors and Potential Countermeasures Addendum
    Assessment of Motorcycle Safety in Wyoming: Fatal and Severe Crashes, Contributing Factors and Potential Countermeasures [Addendum]
    Zlatkovic, Milan ;
    Baah, Isaac
    2023-06-01 | PDF
    Motorcycle riders and passengers are much more likely to be killed or severely injured in a crash, and on average about 15 percent of all traffic fatalities include motorcyclists. Motorcyclists and their passengers are particularly vulnerable on the roads, which accounts for their higher percentage of fatal and severe crash accidents. To take appro ...
  • Bigdata Analytics and Artificial Intelligence for Smart Intersections Summary
    Bigdata Analytics and Artificial Intelligence for Smart Intersections [Summary]
    Ranka, Sanjay ;
    Ponnaluri, Raj
    2023-06-01 | PDF
    This project aims to develop a multi-sensor system for vehicle and pedestrian traffic analysis at traffic intersections. The techniques developed as part of this project are used to process data streams from video-camera and LIDAR systems installed at traffic intersections (along with the loop detector data captured by advanced traffic controllers) ...
  • Simplified Analysis Methods of TSD and FWD Data for Effective Pavement Preservation Program
    Simplified Analysis Methods of TSD and FWD Data for Effective Pavement Preservation Program
    Kassem, Emad ;
    Muftah, Ahmed
    2023-06-01 | PDF
    Pavement evaluation is critical for determining proper and cost-effective surface treatments and allocation of limited funds and resources to maintain, rehabilitate and reconstruct flexible pavements. This study examined two nondestructive testing devices that are used to evaluate the structural capacity and integrity of highway pavements including ...
361 - 380 / 613
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