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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 21 - 40 of 876 results
  • Cooperative Sensing of Vulnerable Road Users and RealTime Response to Potential Collisions via Vehicle and Infrastructure Communication
    Cooperative Sensing of Vulnerable Road Users and Real-Time Response to Potential Collisions via Vehicle and Infrastructure Communication
    Smith, Stephen F. ;
    Dolan, John M
    2025-08-25 | PDF
    This report summarizes progress made on two problems of central importance to achieving increased safety in autonomous urban driving: (1) the development of end-to-end frameworks for cooperative perception, tracking and planning, and (2) the development of real-time strategies for collision avoidance when collisions are predicted. With respect to t ...
  • Cyber Resilience of Connected and Autonomous Transportation Systems Phase I StateoftheArt and Research Gaps
    Cyber Resilience of Connected and Autonomous Transportation Systems (Phase I): State-of-the-Art and Research Gaps
    Noruzoliaee, Mohamadhossein ;
    Nazari, Fatemeh
    2025-08-22 | PDF
    Connected and autonomous transportation systems (CATS) promise major advances in efficiency and safety but also expose cyber-physical infrastructures to evolving cyber-attacks that threaten security and safety. This survey provides a unified synthesis of cyber resilience in CATS, organized along three axes: (1) operational scale (micro, meso, and m ...
  • Planning and Policy for Safer Roads with Autonomous Vehicles Moral Decision Making Behavior in Dilemmainducing Situations
    Planning and Policy for Safer Roads with Autonomous Vehicles: Moral Decision Making Behavior in Dilemma-inducing Situations
    Nazari, Fatemeh ;
    Noruzoliaee, Mohamadhossein
    2025-08-19 | PDF
    This study develops a Dynamic Bayesian Network (DBN) framework to examine how public confidence in autonomous vehicle (AV) safety and willingness-to-ride respond to policy interventions in crash-imminent pedestrian–passenger prioritization scenarios. Using stated preferences survey data from San Francisco (SF) and San Antonio (SA), the model integr ...
  • Integrating Occupancy Grids with SpatialTemporal Reinforcement Learning for Enhanced Vehicle Control Navigating Highly Dynamic and Complex Driving Scenarios
    Integrating Occupancy Grids with Spatial-Temporal Reinforcement Learning for Enhanced Vehicle Control - Navigating Highly Dynamic and Complex Driving Scenarios
    Redmill, Keith A ;
    Zhang, Zhihao
    2025-08-18 | PDF
    This study addresses the challenge of effectively interpreting and navigating complex dynamic driving environments, using occupancy grids as a primary mode of spatial input representation. In this work, the research team presents a novel approach that combines the strengths of reinforcement learning (RL) and transformer-based architectures, particu ...
  • Finding Vulnerabilities of Autonomous Vehicle Stacks to Physical Adversaries [supporting dataset]
    Celik, Z Berkay ;
    Cardenas, Alvaro
    2025-08-14 | ZIP
    Autonomous Driving (AD) vehicles must interact and respond in real-time to multiple sensor signals indicating the behavior of other agents in the environment, such as other vehicles, and pedestrians near the ego vehicle (i.e., the vehicle itself). While autonomous vehicle (AV) developers tend to generate numerous test cases in simulations to detect ...
    Dataset Supporting Files
  • Mental States Machine Enhancing Driver Engagement in Automated Vehicles for Safer Transitions
    Mental States & Machine: Enhancing Driver Engagement in Automated Vehicles for Safer Transitions
    Lo, Wei-Hsiang ;
    Chu, Aries
    2025-08-01 | PDF
    The current automated vehicles are not perfect, which means that human intervention, known as a takeover, is still necessary. For signaling takeover requests, informative (contralateral) displays were investigated and proven effective compared to instructional (ipsilateral) displays. However, how drivers interpret the information can vary based on ...
  • Traffic Control based on CARMA Platform for Maximal Traffic Mobility and Safety
    Traffic Control based on CARMA Platform for Maximal Traffic Mobility and Safety
    Li, Xiaopeng (Shaw) ;
    Noyce, David A.
    2025-08-01 | PDF
    This project developed and evaluated an online adaptive platoon control framework for connected and automated vehicles (CAVs) that simultaneously enhances mobility and safety through integration with digital infrastructure based on the CARMA platform. The proposed Physics Enhanced Residual Learning (PERL) framework combines a physics-based centrali ...
  • RealWorld Observations and Human Factors Evaluation of AV Shuttle Operations
    Real-World Observations and Human Factors Evaluation of AV Shuttle Operations
    Fox, Sarah ;
    Martelaro, Nikolas
    2025-07-31 | PDF
    The integration of autonomous vehicle (AV) shuttles and advanced driver assistance systems (ADAS) into public transit is positioned as a means of enhancing safety, accessibility, and operational efficiency. However, these technologies also transform the role of human operators, who must intervene during complex and high-risk scenarios. This study e ...
  • Safety Assurance and Demonstration of Connected Autonomous Vehicles
    Safety Assurance and Demonstration of Connected Autonomous Vehicles
    Rajkumar, Ragunathan (Raj) ;
    Sahu, Nishad
    2025-07-31 | PDF
    This proposed larger-scale effort aims to re-define and demonstrate the vision of full autonomy to one of safe autonomy, where a learning-enabled system is coupled with the foundations of cyber-physical systems to endow the system with an explicit awareness of both its capabilities and limitations. In turn, the system realizes when it is in or near ...
  • Project 567 F1Tenth Autonomous Training Platform Courseware and Community Activities
    Project 567: F1Tenth Autonomous Training Platform, Courseware and Community Activities
    Mangharam, Rahul
    2025-07-31 | PDF
    This is a continuation of a successful Safety21 project on developing a training community for engineering and ethical skills for developing future autonomous vehicles. This project includes three components - (1) autonomous driving course development with a 1/10th-scale autonomous racecar where students learn advanced algorithms and software devel ...
  • VehicleinVirtualEnvironment VVE Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Year 2 Focus on Bicyclist Safety
    Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Year 2 Focus on Bicyclist Safety
    Chen, Haochong ;
    Cao, Xincheng
    2025-07-28 | PDF
    Motivated by the shortcomings of using public road development of autonomous driving functions, this project focuses on the Vehicle-in-Virtual-Environment (VVE) method of safe, efficient, and low-cost connected and autonomous driving function development, evaluation, and demonstration. The VVE method places the actual vehicle inside a highly realis ...
  • Vehicle to Infrastructure V2I BenefitCost Analysis BCA Tool Prototype supporting software
    Vehicle to Infrastructure (V2I) Benefit-Cost Analysis (BCA) Tool Prototype [supporting software]
    Badgley, Jonathan ;
    Reed, Joseph R.
    2025-07-09 | PDF
    The Vehicle to Infrastructure (V2I) Benefit Cost Analysis (BCA) Tool (V2I BCA Tool) prototype was developed to help transportation agencies explore the potential benefits of V2I technology in the context of uncertainty around future fleet uptake in on-board units (OBUs), future deployment of automated vehicles (AVs), and the uncertainty around the ...
    Supporting Files
  • FMVSS Considerations for Vehicles with Automated Driving Systems Volume 3
    FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 3
    Chaka, Michelle ;
    Stowe, Loren
    2025-07-01 | PDF
    The portion of the research project included in this report focuses on 28 Federal Motor Vehicle Safety Standards (FMVSS). It provides research findings, including the performance requirements and test procedures, in terms of options regarding technical translations, based on potential regulatory barriers identified for compliance verification of in ...
  • Vehicle to Infrastructure V2I BenefitCost Analysis BCA Tool Prototype User Guide Version 20251
    Vehicle to Infrastructure (V2I) Benefit-Cost Analysis (BCA) Tool Prototype: User Guide Version 2025.1
    Badgley, Jonathan ;
    Reed, Joseph R.
    2025-07-01 | PDF
    The U.S. Department of Transportation Volpe Center (Volpe) developed the Vehicle-to-Infrastructure (V2I) Benefit-Cost Analysis (BCA) Tool Prototype with funding and technical direction from the Federal Highway Administration’s (FHWA’s) Office of Safety and Operations Research and Development within the Turner-Fairbank Highway Research Center. The V ...
  • Investigation of Key Safety Measures for Pre and PostDeployment of Connected and Automated Vehicles
    Investigation of Key Safety Measures for Pre and Post-Deployment of Connected and Automated Vehicles
    Kondyli, Alexandra ;
    Schrock, Steven
    2025-07-01 | PDF
    In recent years, automated vehicles (AVs) are increasingly penetrating road networks with the main purpose of reducing driver error. Since around 94% of traffic crashes are due to driver errors, automated vehicles have the potential to enhance road safety by eliminating human drivers' tasks. Despite claims that these vehicles will increase road saf ...
  • A Zero Trust Architecture for Secure Connected and Autonomous Vehicles [Supporting Database]
    Cheng, Long ;
    Zhang, Zhenkai
    2025-07-01 | JSON
    Connected and Autonomous Vehicles (CAVs) are the future of personal and public transportation. As CAVs increasingly rely on cyber-based control, navigation, and communication, security has become a pressing concern in future transportation systems. The complexity and inter-connectedness of CAVs offer myriad opportunities for security compromise, po ...
    Dataset Supporting Files
  • Development of Autonomous Truck Mounted Attenuator ATMA Deployment Guidelines Considering Traffic and Safety Impacts
    Development of Autonomous Truck Mounted Attenuator (ATMA) Deployment Guidelines Considering Traffic and Safety Impacts
    Hu, Xianbiao ;
    Tang, Qing
    2025-06-01 | PDF
    The Autonomous Truck Mounted Attenuator (ATMA) system represents a specialized application of connected and autonomous vehicle (CAV) technologies, designed to enhance worker safety during roadway maintenance operations. Despite its growing adoption across state agencies, formalized deployment criteria remain absent from national guidelines such as ...
  • Building Reliable Sim Driving Agents by Scaling SelfPlay
    Building Reliable Sim Driving Agents by Scaling Self-Play
    Cornelisse, Daphne ;
    Pandya, Aarav
    2025-05-21 | PDF
    Simulation agents are essential for designing and testing systems that interact with humans, such as autonomous vehicles (AVs). These agents serve various purposes, from benchmarking AV performance to stress-testing system limits, but all applications share one key requirement: reliability. To enable sound experimentation, a simulation agent must b ...
  • Shifting Last Mile Delivery Operations to Road Autonomous Delivery Robots Effects on Residential Streets
    Shifting Last Mile Delivery Operations to Road Autonomous Delivery Robots: Effects on Residential Streets
    Durango-Cohen, Pablo L. ;
    Teixeira, Pablo
    2025-05-06 | PDF
    We present an analysis of the impacts of last-mile delivery vehicles on pavement lifespans in residential streets. We argue that an increase in the number of parcels delivered daily could be a possible cause for increases in pavement maintenance expenditures in small cities and residential areas. This externality is often overlooked in the current ...
  • Finding Vulnerabilities of Autonomous Vehicle Stacks to Physical Adversaries
    Finding Vulnerabilities of Autonomous Vehicle Stacks to Physical Adversaries
    Celik, Z Berkay ;
    Cardenas, Alvaro
    2025-05-01 | PDF
    Autonomous Driving (AD) vehicles must interact and respond in real-time to multiple sensor signals indicating the behavior of other agents in the environment, such as other vehicles, and pedestrians near the ego vehicle (i.e., the vehicle itself). While autonomous vehicle (AV) developers tend to generate numerous test cases in simulations to detect ...
21 - 40 / 876
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