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Autonomous Vehicles

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By leveraging advanced technologies, Autonomous Vehicles (AVs) hold the potential to increase transportation safety and efficiency. This collection showcases USDOT-funded research and data concerning AVs. Bookmark this collection: https://rosap.ntl.bts.gov/collection_avs OR https://doi.org/10.21949/1x81-qs91.

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Showing 101 - 120 of 852 results
  • State of the Practice of Crash Reporting in the US and Implications for CAV Safety Assessment Research Brief
    State of the Practice of Crash Reporting in the U.S. and Implications for CAV Safety Assessment [Research Brief]
    Mekker, Michelle ;
    Acharya, Sailesh
    2024-05-01 | PDF
    This research focuses on evaluating current CAV crash reporting practices across the United States, identifying inconsistencies and gaps, and proposing recommendations for standardized reporting and legislation to ensure safe and effective deployment of CAVs on public roads. Researchers assessed CAV crash reporting practices across the United State ...
  • Heterogeneous Preferences for Activities While Traveling in Autonomous Vehicles Relationships with Travel Contexts and Attitudes
    Heterogeneous Preferences for Activities While Traveling in Autonomous Vehicles: Relationships with Travel Contexts and Attitudes
    Kim, Ilsu ;
    Lee, Yongsung
    2024-05-01 | PDF
    Although the literature on autonomous vehicles (AVs) has been growing with a focus on adoption, expected changes in travel behavior, and travel demand and land use in the future, few studies have analyzed envisioned activities in AVs, which will affect all those outcomes at the micro level. To address this gap, this study examines preferred activit ...
  • Experiences With Autonomous Vehicle in US Cities
    Experiences With Autonomous Vehicle in U.S. Cities
    D’Agostino, Mollie Cohen ;
    Cooper, Elliott Michael
    2024-05-01 | PDF
    This project convened a series of meetings and workshops to prioritize listening to multi-sector stakeholders from local government, advocacy, and industry in US cities where autonomous vehicles are operating. The objective was to listen and learn from all stakeholders, raise issues surrounding accessibility and equity, and to solicit responses. Ke ...
  • Third Generation Simulation Data TGSIM A Closer Look at The Impacts of Automated Driving Systems on Human Behavior
    Third Generation Simulation Data (TGSIM): A Closer Look at The Impacts of Automated Driving Systems on Human Behavior
    Talebpour, Alireza ;
    Mahmassani, Hani S.
    2024-05-01 | PDF
    This study collected and processed accurate trajectory datasets capable of characterizing human-automated vehicle interactions under a diverse set of scenarios in highway and city environments. Multiple methods were utilized to collect data: fixed location aerial videography, moving aerial videography, and infrastructure-based videography. Fixed lo ...
  • Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles
    Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles
    Ogle, Jennifer H ;
    Bendigeri, Vijay
    2024-05-01 | PDF
    Traditional road safety assessment methodologies rely heavily on AADT (Annual Average Daily Traffic) data estimates to account for variability in traffic operations. Unfortunately, this approach does not consider the driving environment's fast-changing dynamics, which can influence contextual complexity and risk. This research report presents a met ...
  • A Statistical and Machine Learning Approach to Assess Contextual Complexity of the Driving Environment Using Autonomous Vehicle Data Technology Transfer Activities
    A Statistical and Machine Learning Approach to Assess Contextual Complexity of the Driving Environment Using Autonomous Vehicle Data— Technology Transfer Activities
    Ogle, Jennifer H ;
    Bendigeri, Vijay
    2024-05-01 | PDF
    Traditional road safety assessment methodologies rely heavily on AADT (Annual Average Daily Traffic) data estimates to account for variability in traffic operations. Unfortunately, this approach does not consider the driving environment's fast-changing dynamics, which can influence contextual complexity and risk. This research report presents a met ...
  • 2022 CDA Annual Report
    2022 CDA Annual Report
    Balse, Animesh ;
    Bellamkonda, Mitali
    2024-04-01 | PDF
    The Cooperative Driving Automation (CDA) Annual Report highlights the achievements of the CDA program and discusses the use cases that were created and researched to further overall CDA program objectives to enable a cooperative, safe, efficient, and sustainable transportation system for all users. This report also details engagement activities wit ...
  • Development of an Immersive Training Platform for Roadway Construction Workers using Virtual Reality Technologies Policy Brief
    Development of an Immersive Training Platform for Roadway Construction Workers using Virtual Reality Technologies [Policy Brief]
    Wang, Zhenyu ;
    Lin, Pei-Sung
    2024-03-31 | PDF
    Workforce education is crucial to ensuring the safety and equality of the work environment. Immersive virtual reality (VR) training is revolutionizing workforce education, providing practical on-the-job training within a safe simulated environment. The project aimed to develop an immersive training platform using state-of-the-art VR technologies an ...
  • Crash Compatibility for Occupantless Delivery Vehicles
    Crash Compatibility for Occupantless Delivery Vehicles
    Kan, Steve ;
    Reichert, Rudolf
    2024-03-01 | PDF
    This research studied how variations in an occupantless delivery vehicle’s (ODV) design can affect the occupants in an occupied crash partner vehicle, across a range of expected operational design domains. In full frontal and frontal oblique impact configurations, improved ODV compatibility correlated well with less severe LPV crash pulses, lower o ...
  • FaultFree Integrity of Urban Driverless Vehicle Navigation with MultiSensor Integration A Case Study in Downtown Chicago
    Fault-Free Integrity of Urban Driverless Vehicle Navigation with Multi-Sensor Integration: A Case Study in Downtown Chicago
    Nagai, Kana ;
    Spenko, Matthew
    2024-03-01 | PDF
    This paper investigates how global navigation satellite systems (GNSSs) and inertial navigation systems (INSs), when appropriately augmented by ranging from local landmarks, can safely navigate vehicles through a real-world urban environment. We begin by considering safety requirements for driverless vehicles under fault-free assumptions and develo ...
  • Toward a Florida Automated Connected Electric and Shared ACES Transportation System Roadmap Phase II Summary
    Toward a Florida Automated, Connected, Electric, and Shared (ACES) Transportation System Roadmap: Phase II [Summary]
    Lin, Pei-Sung ;
    Ponnaluri, Raj
    2024-03-01 | PDF
    Automated, connected, electric, and shared (ACES) technologies are rapidly evolving and will continue to impact the development of vehicles, infrastructure, communities, commerce, and the economy. Based on the Florida ACES transportation system roadmap for Florida developed in Phase I, this project aimed to engage with private industries to leverag ...
  • Designing an Autonomous Service to Cover Transits Last Mile in LowDensity Areas
    Designing an Autonomous Service to Cover Transit’s Last Mile in Low-Density Areas
    Khani, Alireza ;
    Aalipour, Ali
    2024-03-01 | PDF
    Public transportation provides a safe, convenient, affordable, and environmentally friendly mobility service. However, due to its fixed routes and limited network coverage, it is sometimes difficult or impossible for passengers to walk from a transit stop to their destination. This inaccessibility problem is also known as the “transit last-mile con ...
  • Securing Deep Learning Against Adversarial Attacks for Connected and Automated Vehicles
    Securing Deep Learning Against Adversarial Attacks for Connected and Automated Vehicles
    Pisu, Pierluigi ;
    Comert, Gurcan
    2024-03-01 | PDF
    Intelligent mobile robots, including autonomous agents, highly rely on the correctness of surrounding environment perception. Recently, Deep Learning-based perception models have been shown to be vulnerable to adversarial attacks through one kind of well-designed input called adversarial examples. Existing defenses include mainly adversarial traini ...
  • Assessing Safety and Mobility Benefits of Autonomous Ride Sharing Services
    Assessing Safety and Mobility Benefits of Autonomous Ride Sharing Services
    Classen, Sherrilene ;
    VandeWeerd, Carla
    2024-02-14 | PDF
    We examined the user perspective about autonomous ride sharing services among older adults (50+ years of age) in three different geographic areas in Florida (Lake Nona, Port St. Lucie, and The Villages). We utilized the Autonomous Ride Sharing Services Survey and participants’ lived experiences before and after exposure to the autonomous shuttle. O ...
  • Examining Data Needs and Implementation Process of AVBased Microtransit Service A Case Study in Lake Nona Summary
    Examining Data Needs and Implementation Process of AV-Based Microtransit Service: A Case Study in Lake Nona [Summary]
    Schoelzel, Paul ;
    Peng, Zhong-Ren
    2024-02-01 | PDF
    The objectives of this project were to 1) examine the AV-based microtransit service in the Lake Nona neighborhood of Orlando, Florida called Move Nona and 2) develop a framework for examining various aspects of the system, including policy and government support, infrastructure and technology, service and management, financial sustainability, and r ...
  • Investigating the Effects of Alcohol Consumption on Manual and Automated Driving A Systematic Review
    Investigating the Effects of Alcohol Consumption on Manual and Automated Driving: A Systematic Review
    Dong, Miaomiao ;
    Lee, Yuni
    2024-02-01 | PDF
    There are direct correlations between drunk driving and car-related injuries, disabilities, and death. Autonomous vehicles (AVs) may provide useful driver support systems in order to prevent or reduce road accidents. However, AVs are not yet fully automated and require human drivers to take over the vehicle at times. Therefore, understanding how al ...
  • Investigating the Effects of Alcohol Consumption on Manual and Automated Driving A Systematic Review Brief
    Investigating the Effects of Alcohol Consumption on Manual and Automated Driving: A Systematic Review [Brief]
    Dong, Miaomiao ;
    Lee, Yuni
    2024-02-01 | PDF
    Driving under the influence is a significant concern for public safety, leading to many tragic accidents. Alcohol impairs a driver’s ability to process information at every stage, affecting their judgment and reactions on the road. Our research explores the correlation between driving under the effects of alcohol and its consequences while focusing ...
  • Predicting Driver Takeover Performance in Conditional Automation (Level 3) Through Physiological Sensing [supporting dataset]
    Deng, Min ;
    Gluck, Aaron
    2024-01-03 | ZIP
    The National Highway Traffic Safety Administration (NHTSA) calls for fundamental research on “the driver performance profile over time in sustained and short-cycle automation … and driver-vehicle interface to allow safe operation and transition between automated and nonautomated vehicle operation.” The emerging level 3 autonomous vehicle (AV) has t ...
    Dataset
  • Predicting Driver Takeover Performance in Conditional Automation Level 3 through Physiological Sensing
    Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing
    Deng, Min ;
    Gluck, Aaron
    2024-01-03 | PDF
    The National Highway Traffic Safety Administration (NHTSA) calls for fundamental research on “the driver performance profile over time in sustained and short-cycle automation … and driver-vehicle interface to allow safe operation and transition between automated and nonautomated vehicle operation.” The emerging level 3 autonomous vehicle (AV) has t ...
  • On the Adversarial Robustness of CameraBased 3D Object Detection
    On the Adversarial Robustness of Camera-Based 3D Object Detection
    Xie, Shaoyuan ;
    Li, Zichao
    2024-01-01 | PDF
    In recent years, camera-based 3D object detection has gained widespread attention for its ability to achieve high performance with low computational cost. However, the robustness of these methods to adversarial attacks has not been thoroughly examined, especially when considering their deployment in safety-critical domains like autonomous driving. ...
101 - 120 / 852