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Autonomous Vehicles

rosaP Repository & Open Science Access Portal

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 261 - 280 of 907 results
  • Technology to Ensure Equitable Access to Automated Vehicles for Rural Areas [supporting dataset]
    Ninan, Stephen ;
    Rathinam, Sivakumar ;
    2023-06-12 | JSON
    As the demand for curb parking increases and new types of curb space users compete for space, the need to more efficiently manage how vehicles interact with the curb becomes more apparent. One solution is to allow curb space users to submit a reservation ahead of their arrival that can be centrally managed and scheduled if the resources are availab ...
    Dataset
  • Smart Mobility Blueprint for Illinois
    Smart Mobility Blueprint for Illinois
    Jayme, Angeli ;
    Usta, Berkan ;
    Hamad, Nadim
    ; etc...
    2023-06-01 | PDF
    Connected, automated, shared, and electric (CASE) technologies have invoked Mobility 4.0—a connected, digitized, multimodal, and autonomous system of systems. This project established a flexible and adaptable blueprint that would streamline multidisciplinary and multistakeholder efforts as well as leverage available resources to prepare the Illinoi ...
  • The Perception of Autonomous Driving in Rural Communities
    The Perception of Autonomous Driving in Rural Communities
    Chang, Kevin ;
    Williams, Jade ;
    2023-06-01 | PDF
    Autonomous, or self-driving, vehicles have the capability to either fully or partially replace a human driver in the navigation to a destination. To better understand how receptive society will be to these types of vehicles, this study focused on the perceived level of trust in autonomous vehicles (AVs) by rural drivers and passengers. An online su ...
  • Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure
    Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure
    Pradhan, Anuj K. ;
    Roberts, Shannon C ;
    Pai, Ganesh
    ; etc...
    2023-06-01 | PDF
    Given the importance of mental models towards safe interaction with Advanced Driver Assistance Systems (ADAS) and the various human factors challenges regarding ADAS such as mis-calibrated trust and the effect on workload, it is important to understand how different types of driving experiences and exposures affect drivers’ mental models about ADAS ...
  • Environment for Testing and Assessing Infrastructure Support of Connected Vehicle and Cooperative Highway Automation Applications
    Environment for Testing and Assessing Infrastructure Support of Connected Vehicle and Cooperative Highway Automation Applications
    Hadi, Mohammed ;
    Mata, Hector ;
    Hunsanon, Thodsapon
    2023-06-01 | PDF
    The consideration of cooperative driving automation (CDA) in the transportation system management and operations (TSM&O ) processes has the potential for improving system performance in terms of safety, mobility, environmental impacts, and user satisfaction and acceptance. The goal of this project is to provide recommendations regarding the incorpo ...
  • Using Virtual Reality Techniques to Investigating Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users
    Using Virtual Reality Techniques to Investigating Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users
    John, Ajuna P ;
    Sabu, Jelin ;
    Dong, Jiqian
    ; etc...
    2023-06-01 | PDF
    At roadway ecosystems with frequent movement conflicts among vehicles, pedestrians, and other road users, a road user entering the location immediately triggers a vibrant exchange of informal or formal cues with other road users and the traffic environment to ensure safe and efficient movement for all the road users at that location and at that tim ...
  • Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure Fact Sheet
    Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure [Fact Sheet]
    AAA Foundation for Traffic Safety  ...
    2023-06-01 | PDF
    Advanced Driver Assistance Systems (ADAS) support drivers with some driving tasks. However, drivers may lack appropriate knowledge about ADAS (referred to as their mental model), which can translate to drivers misusing or mistrusting the technologies, especially in situations beyond the capability of the system (i.e., edge cases). Past research sug ...
  • 07033 Defining Operational Design Domains ODDs for the Safe Blending of Levels 04 Connected and Autonomous Vehicles CAVs in the Traffic Streams
    0-7033: Defining Operational Design Domains (ODDs) for the Safe Blending of Levels 0-4 Connected and Autonomous Vehicles (CAVs) in the Traffic Streams
    Chin, Kristie ;
    Wang, Junmin ;
    Zhou, Xingyu
    ; etc...
    2023-05-31 | 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 ...
  • 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 ;
    Payan, Alexia P
    ; etc...
    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 ...
  • Advancing Interoperable Connectivity Deployment Connected Vehicle Pilot Deployment Results and Findings
    Advancing Interoperable Connectivity Deployment: Connected Vehicle Pilot Deployment Results and Findings
    Hartman, Kate ;
    Wunderlich, Karl ;
    Vasudevan, Meenakshy
    ; etc...
    2023-05-01 | PDF
    In September 2015, the U.S. Department of Transportation (USDOT) Intelligent Transportation Systems (ITS) Joint Program Office (JPO) awarded three deployment sites under the Connected Vehicle (CV) Pilot Deployment Program to: the New York City Department of Transportation (NYCDOT); the Tampa Hillsborough Expressway Authority (THEA); and the Wyoming ...
  • 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 ;
    Sample, Mikhaela
    ; etc...
    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 ...
  • Influence of Autonomous and Partially Autonomous Vehicles on Minnesota Roads
    Influence of Autonomous and Partially Autonomous Vehicles on Minnesota Roads
    Espindola, Andre ;
    Alexander, Lee ;
    Rajamani, Rajesh
    2023-05-01 | PDF
    This project focuses on experimental tests of the performance characteristics of autonomous vehicles (AVs) on highways and local roads in Minnesota. The project provides detailed data characterizing AV performance, which in turn can be used to inform the transportation community on implications for infrastructure maintenance, winter road maintenanc ...
  • Exploring Costeffective Computer Vision Solutions for Smart Transportation Systems
    Exploring Cost-effective Computer Vision Solutions for Smart Transportation Systems
    Gao, Jingqin ;
    Xu, Chuan ;
    Zhang, Daniel
    ; etc...
    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 ...
  • 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 ;
    Xu, Chuan
    ; etc...
    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 ...
  • Autonomy in Transportation Education
    Autonomy in Transportation Education
    Masoud, Neda ;
    Tafreshian, Amirmahdi ;
    Lim, Jisoon
    ; etc...
    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
  • 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 ;
    Rakha, Hesham A.
    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 ...
  • 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.
  • Lane-Level Localization and Map Matching for Advanced Connected and Automated Vehicle (CAV) Applications [Supporting Dataset]
    Farrell, Jay A. ;
    Wu, Guoyuan ;
    Hu, Wang
    ; etc...
    2023-03-29 | BIN
    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. ;
    Liu, BingQing
    2023-03-21 | BIN
    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
  • 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 ...
261 - 280 / 907
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