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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 221 - 240 of 852 results
  • Automated Vehicle Recommendations for Texas A Study of Highway and Urban Operational Design Domains
    Automated Vehicle Recommendations for Texas: A Study of Highway and Urban Operational Design Domains
    Chin, Kristie ;
    Gold, Andrea
    2023-05-01 | PDF
    Automated vehicles (AVs) present significant potential; yet, their technological maturity and performance remain to be proven. With several deployments underway in the state, it is critical for the Texas Department of Transportation (TxDOT) to provide the public with assurances that the AVs are performing safely in their intended operational enviro ...
  • Exploring Costeffective Computer Vision Solutions for Smart Transportation Systems Literature Review
    Exploring Cost-effective Computer Vision Solutions for Smart Transportation Systems [Literature Review]
    Gao, Jingqin ;
    Ozbay, Kaan
    2023-05-01 | PDF
    Computer vision is reshaping the transportation industry and bringing its unique capabilities to the table to enable next generation smart transportation systems in many different ways. The state-of-the-art of IoT strategies and computer vision techniques is well-studied in the literature, some has already been tested and used for certain use cases ...
  • Exploring Costeffective Computer Vision Solutions for Smart Transportation Systems
    Exploring Cost-effective Computer Vision Solutions for Smart Transportation Systems
    Gao, Jingqin ;
    Xu, Chuan
    2023-05-01 | PDF
    The key accomplishments of the project are summarized as follows. The team conducted a literature review on computer vision for smart cities with a focus on transportation and summarized a resource list that lists publicly available traffic camera systems in the U.S. The team also established an automatic pipeline for data acquisition and developed ...
  • Review of Current State of Artificial IntelligenceMachine Learning and Other Advanced Techniques Related to AirtoAir Collision Risk Models CRM in the Terminal Airspace
    Review of Current State of Artificial Intelligence/Machine Learning and Other Advanced Techniques Related to Air-to-Air Collision Risk Models (CRM) in the Terminal Airspace
    Sherry, Lance ;
    Shortle, John
    2023-05-01 | PDF
    Collision Risk Models (CRM) are used by regulatory safety agencies to determine the safe separation minima and monitor the air-to-air collision risk level of an airspace. CRMs estimate the expected number of aircraft collisions and "total" risk for a given air traffic concept-of-operation (e.g., parallel approaches). The fidelity of the models, and ...
  • Autonomy in Transportation Education
    Autonomy in Transportation Education
    Masoud, Neda ;
    Tafreshian, Amirmahdi
    2023-04-21 | PDF
    Connected and automated vehicles (CAVs) represent a transformative technology that can revolutionize how people and goods move. The private sector is at the forefront of developing the technology, and many municipalities are attempting to prepare for a more connected and automated future. As such, both private and public sectors are in need of a sk ...
    Supporting Files
  • Arlington Rideshare Automation and Payment Integration Demonstration RAPID
    Arlington Rideshare, Automation, and Payment Integration Demonstration (RAPID)
    Foss, Ann
    2023-04-01 | PDF
    This report presents the results of the Arlington Rideshare, Automation, and Payment Integration Demonstration (RAPID) project. This project integrates a shared, dynamically routed automated vehicle (AV) fleet into an existing public rideshare system in Arlington, Texas.
  • Optimal Trajectory Planning Algorithm for Connected and Autonomous Vehicles towards Uncertainty of Actuated Traffic Signals
    Optimal Trajectory Planning Algorithm for Connected and Autonomous Vehicles towards Uncertainty of Actuated Traffic Signals
    Shafik, Amr ;
    Eteifa, Seifeldeen
    2023-04-01 | PDF
    This report introduces a robust green light optimal speed advisory (GLOSA) system for fixed and actuated traffic signals which considers a probability distribution. These distributions represent the domain of possible switching times from the signal phasing and timing (SPaT) messages. The system finds the least-cost (minimum fuel consumption) vehic ...
  • Lane-Level Localization and Map Matching for Advanced Connected and Automated Vehicle (CAV) Applications [Supporting Dataset]
    Farrell, Jay A. ;
    Wu, Guoyuan
    2023-03-29 | ZIP
    Reliable, lane-level, absolute position determination for connected and automated vehicles (CAV’s) is near at hand due to advances in sensor and computing technology. These capabilities in conjunction with high-definition maps enable lane determination, per lane queue determination, and enhanced performance in applications. This project investigate ...
    Dataset
  • Autonomous Vehicle Good Citizenry Standard [Supporting Dataset]
    Namdarpour, Farnoosh ;
    Chow, Joseph Y. J.
    2023-03-21 | ZIP
    To establish a framework for considering these wraparound AV impacts in New York City, the NYU Rudin Center for Transportation Policy and Management led a multi-stakeholder initiative in conjunction with NYU’s C2SMART, USDOT University Transportation Center. The team hosted three workshops in December 2021 addressing issues and opportunities in sev ...
    Dataset Supporting Files
  • CostBenefit Analysis of FuelEfficient Speed Control Using Signal Phasing and Timing SPaT Data Evaluation for Future Connected Corridor Deployment
    Cost/Benefit Analysis of Fuel-Efficient Speed Control Using Signal Phasing and Timing (SPaT) Data: Evaluation for Future Connected Corridor Deployment
    Levin, Michael W. ;
    Sun, Zongxuan
    2023-03-01 | PDF
    The objective of this methodology is to refine the preliminary results from previous work (11% fuel savings for one vehicle, one intersection) to an entire corridor of SPaT signals, with different CV market penetration, and with driver awareness of fuel savings benefits. The research will proceed in three parts. First, several vehicles will be inst ...
  • Using Signal Phasing and Timing Data to Reduce Fuel Use Technical Summary
    Using Signal Phasing and Timing Data to Reduce Fuel Use [Technical Summary]
    Rowe, Daniel ;
    Levin, Michael W.
    2023-03-01 | PDF
    The goal of this project was to explore the fuel efficiencies of SPaT broadcasts interacting with CVs to control speed along connected corridors. The findings from this investigation could then be used to inform possible future SPaT deployments.
  • Toward a Florida Automated Connected Electric and Shared ACES Transportation System Roadmap Phase II
    Toward a Florida Automated, Connected, Electric, and Shared (ACES) Transportation System Roadmap: Phase II
    Lin, Pei-Sung ;
    Wang, Zhenyu
    2023-03-01 | 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 ...
  • Development of an Integrated Augmented Reality Testing Environment and Implementation at the American Center for Mobility
    Development of an Integrated Augmented Reality Testing Environment and Implementation at the American Center for Mobility
    Liu, Henry
    2023-03-01 | PDF
    In this project, we developed an integrated solution for autonomous vehicle testing, in which the naturalistic driving environment (NDE) is combined with the augmented reality (AR) testing system. The integrated solution is implemented at American Center for Mobility (ACM). With the NDE, realistic virtual traffic flow can be generated in the testin ...
  • DeepScenario City Scale Scenario Generation for Automated Driving System Testing Evaluation
    DeepScenario: City Scale Scenario Generation for Automated Driving System Testing & Evaluation
    Liu, Henry ;
    Feng, Yiheng
    2023-03-01 | PDF
    Driving intelligence test is critical to the development and deployment of autonomous vehicles. The prevailing approach tests autonomous vehicles in life-like simulations of the naturalistic driving environment. However, due to the high dimensionality of the environment and the rareness of safety-critical events, hundreds of millions of miles would ...
  • Connected and Automated Vehicle CAV Testing Scenario Design and Implementation Using Naturalistic Driving Data and Augmented Reality
    Connected and Automated Vehicle (CAV) Testing Scenario Design and Implementation Using Naturalistic Driving Data and Augmented Reality
    Feng, Yiheng ;
    Bao, Shan
    2023-03-01 | PDF
    Testing and evaluation is a critical step in the development and deployment of connected and automated vehicle (CAV) technology. Testing standards for human-driven vehicles, such as Federal Motor Vehicle Safety Standards (FMVSS), were established a longtime ago. However, current standards cannot be applied to CAVs, because they often assume the pre ...
  • Private 5G Technology and Implementation Testing
    Private 5G Technology and Implementation Testing
    Vilela, Jean Paul Talledo ;
    Mollenhauer, Michael A
    2023-03-01 | PDF
    NEC developed a Video Analytics implementation for traffic intersections using 5G technology. This implementation included both hardware infrastructure and software applications supporting 5G communications, which allows low latency and secure communications. The Virginia Tech Transportation Institute (VTTI) worked with NEC to facilitate the usage ...
  • LaneLevel Localization and Map Matching for Advanced Connected and Automated Vehicle CAV Applications
    Lane-Level Localization and Map Matching for Advanced Connected and Automated Vehicle (CAV) Applications
    Farrell, Jay A. ;
    Wu, Guoyuan
    2023-03-01 | PDF
    Reliable, lane-level, absolute position determination for connected and automated vehicles (CAV’s) is near at hand due to advances in sensor and computing technology. These capabilities in conjunction with high-definition maps enable lane determination, per lane queue determination, and enhanced performance in applications. This project investigate ...
  • Automated Lane Change and Robust Safety
    Automated Lane Change and Robust Safety
    Jiang, Zhong-Ping ;
    Ozbay, Kaan
    2023-03-01 | PDF
    Firstly, to guarantee stability and robustness in the face of parametric uncertainties, non-linearities, and modeling errors, we have proposed a data-driven optimal control algorithm to solve the lane-changing problem of AVs which is inspired by reinforcement learning and adaptive dynamic programming. Secondly, we have developed a lane change decis ...
  • Navigating in the Dark Designing Autonomous Driving Features to Assist Old Adults with Visual Impairments
    Navigating in the Dark – Designing Autonomous Driving Features to Assist Old Adults with Visual Impairments
    Bynum, Lashawnda ;
    Parker, Jay
    2023-02-01 | PDF
    Age-related macular degeneration is a leading cause of blindness worldwide and is one of many limitations to independent driving among old adults. Highly autonomous vehicles present a prospective solution for those who are no longer capable of driving due to low vision. However, accessibility issues must be addressed to create a safe and pleasant e ...
  • Ecofriendly Cooperative Traffic Optimization at Signalized Intersections
    Eco-friendly Cooperative Traffic Optimization at Signalized Intersections
    Hao, Peng ;
    Oswald, David
    2023-02-01 | PDF
    Surface transportation systems (e.g., arterial roadways with signalized intersections) are inherently inefficient, particularly at higher traffic volumes. In general, both the infrastructure (e.g., traffic signals) and the vehicles operate independently, with little coordination between them. Previous research has shown that implementing strategies ...
221 - 240 / 852