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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 361 - 380 of 876 results
  • Connected Autonomous Vehicles Frequently Asked Questions
    Connected Autonomous Vehicles: Frequently Asked Questions
    Marti, Michael M ;
    Bitzan, Nicole
    2022-04-01 | PDF
    An interactive presentation describing frequently asked questions about Connected and Autonomous Vehicles (CAV). The presentation is divided into five sections: General, Timing/Preparation, Policy/Standardization, Safety, Rural, and Resources.
  • UAV Selection Methodology and Performance Evaluation to Support UAVEnabled Bridge Inspection
    UAV Selection Methodology and Performance Evaluation to Support UAV-Enabled Bridge Inspection
    Karimoddini, Ali ;
    Cavalline, Tara L
    2022-03-15 | PDF
    This project performed preliminary work to support use of Unmanned Aerial Vehicles (UAV)-based for bridge inspections, providing an economical and safer alternative to conventional inspection practices. The main challenge is that most existing technologies rely on general-purpose UAV platforms and there is no verified methodology for UAV-enabled br ...
  • Exploratory Modeling and Analysis for Automated Vehicles in Utah
    Exploratory Modeling and Analysis for Automated Vehicles in Utah
    Liu, Xiaoyue Cathy ;
    Haghighi, Nima
    2022-03-01 | PDF
    Autonomous Vehicles (AVs) have the potential to offer benefits and flexibility in travel, which can lead to significant reductions in the generalized travel cost, and possibly more demand. The combination of the AV technology with Mobility as a Service (MaaS) creates a new disruptive transportation mode – Shared Autonomous Vehicles (SAVs) that have ...
  • Advancing Accelerated Testing Protocols for Safe and Reliable Deployment of Connected and Automated Vehicles Through Iterative Deployment in Physical and Digital Worlds [supporting dataset]
    Chakraborty, Subhadeep ;
    Khattak, Asad J.
    2022-02-10 | JSON
    As Automated Vehicles diffuse through the transportation system, it is important to understand their safety performance. Although few AV-involved crashes have occurred on roads during testing, they pose new challenges and opportunities for improving safety. The challenges come from using complex automation technologies operating at high speeds to m ...
    Dataset
  • Technology Landscape and Future Direction for Transportation Emissions Energy and Health
    Technology Landscape and Future Direction for Transportation Emissions, Energy, and Health
    Xu, Yanzhi
    2022-02-01 | PDF
    This report presents a roadmap for technology development and implementation in transportation emissions, energy, and health, in the context of emerging transportation sector trends. Specifically, the project focuses on vehicle electrification. The report identifies technologies currently available or under development in both software and hardware ...
  • Simulating the Effects of Shared Automated Vehicles and Benefits to LowIncome Communities in Los Angeles Policy Brief
    Simulating the Effects of Shared Automated Vehicles and Benefits to Low-Income Communities in Los Angeles [Policy Brief]
    Rodier, Caroline ;
    Chai, Huajun
    2022-02-01 | PDF
    Researchers at the University of California, Davis and the Technical University of Berlin evaluated these questions by simulating three scenarios in the Westside Cities area using an open-source, dynamic, agent-based travel model called MATSim. The researchers then calculated the benefits of each scenario compared to the base case for various incom ...
  • Lane Changing of Autonomous Vehicles in Mixed Traffic Environments A Reinforcement Learning Approach
    Lane Changing of Autonomous Vehicles in Mixed Traffic Environments: A Reinforcement Learning Approach
    Jiang, Zhong-Ping ;
    Ozbay, Kaan
    2022-02-01 | PDF
    The purpose of this proposal is to develop innovative reinforcement learning control methods for lane changing of connected and autonomous vehicles (CAVs) in mixed traffic. In the proposed framework, before the CAV changes to the target lane, it needs to predict most likely behavior of surrounding vehicles related to the lane change and then determ ...
  • Evaluation of Delivery Service in Rural Areas with CAV
    Evaluation of Delivery Service in Rural Areas with CAV
    Alghamdi, Abdulrahman ;
    Prevedouros, Panos D
    2022-01-31 | PDF
    Urban areas have been experiencing automated delivery technology for several servings of food or a few bags of groceries, with automated (robotic) mini vehicles. The benefits of such automated delivery may be much more significant for rural areas with long distances due to the large potential savings in travel time, travel cost, and crash risk. Com ...
  • Training to Improve Drivers’ Behavior When Partial Driving Automation Fails [supporting datasets]
    Roberts, Shannon C ;
    Ebadi, Yalda
    2022-01-28 | PDF
    With the advent of automated vehicle systems, the role of drivers has changed to a more supervisory role. However, it is known that all vehicles with Level 2 (L2) systems have a very specific operational design domain (ODD) and can only function on limited conditions. Hence, it is important for drivers to perceive the situations properly and regain ...
    Dataset Supporting Files
  • Designing an Informative Interface for Transfer of Control in Level 2 Automated Driving System [supporting datasets]
    Roberts, Shannon C ;
    Ebadi, Yalda
    2022-01-28 | PDF
    Although automated driving systems have made significant progress over the past few years, human involvement is still vital, especially for Level 2 (L2) systems. One of the challenges of L2 systems is transfer of control between drivers and systems. The objective of this study was to design and evaluate an in-vehicle interface for an L2 automated v ...
    Dataset Supporting Files
  • Advancing Crash Investigation With Connected and Automated Vehicle Data [Supporting Dataset]
    Clamann, Michael ;
    Khattak, Asad J.
    2022-01-20 | BIN
    Understanding the contributing factors in more than 6 million vehicle crashes that occur annually in the U.S. is very challenging, and police officers investigating crashes need all the tools they can use to reconstruct the crash. Given that the Connected and Automated Vehicle (CAV) era is rapidly unfolding, this study seeks to leverage newly avail ...
    Dataset
  • Infrastructure Enhancements for CAV Navigation [supporting dataset]
    Al-Qadi, Imad L. ;
    Okte, Egemen
    2022-01-04 | PDF
    This report presents a review of the main sensors used in connected and autonomous vehicles (CAVs). Radar, ultrasonic sensors, a global positioning system, radio-frequency identification, lidar, cameras, inertial measurement units, and capacitive–proximity sensors were detailed, listing their working principles, advantages, and disadvantages. Based ...
    Dataset Supporting Files
  • How Can Automated Vehicles Increase Access to Marginalized Populations and Reduce Congestion Vehicle Miles Traveled and Greenhouse Gas Emissions A Case Study in the City of Los Angeles
    How Can Automated Vehicles Increase Access to Marginalized Populations and Reduce Congestion, Vehicle Miles Traveled, and Greenhouse Gas Emissions? A Case Study in the City of Los Angeles
    Rodier, Caroline ;
    Kaddoura, Ihab
    2022-01-01 | PDF
    The research team used the Los Angeles MATSim model to evaluate the travel, greenhouse gas (GHGs), and equity impacts of single- and multiple-passenger automated taxi scenarios, including free transit fares and a vehicle miles traveled (VMT) tax. The results indicate that automated taxis increase VMT by about 20 percent across scenarios, and automa ...
  • Evaluating Resilience in MixedAutonomy
    Evaluating Resilience in Mixed-Autonomy
    Joe-Wong, Carlee ;
    Yagan, Osman
    2022-01-01 | PDF
    Future deployments of autonomous vehicles raise questions on how the actions of such vehicles may affect transportation systems as a whole, including the human-driven vehicles with which they share the road. The project team proposes to build a model of how autonomous vehicles can affect such mixed-autonomy systems and in particular their resilienc ...
  • Congestion and Emission Impacts of Switching From InPerson to Online Grocery Delivery A Seattle Case Study
    Congestion and Emission Impacts of Switching From In-Person to Online Grocery Delivery: A Seattle Case Study
    Nock, Destenie ;
    Harper, Corey
    2022-01-01 | PDF
    The COVID-19 pandemic has caused unprecedented growth in the use of online grocery services, influencing mobility choices as well as a range of decisions (e.g., where, how, and how much to shop). Before the pandemic, only 20% of customers in the US had ever bought their groceries online. But in June 2020, three months into the pandemic, nearly 80% ...
  • Development of Tools to Model Driver Behavior in a Cooperative and Driverless Vehicle Mixed Roadway Environment
    Development of Tools to Model Driver Behavior in a Cooperative and Driverless Vehicle Mixed Roadway Environment
    Hunter, Michael ;
    Guin, Angshuman
    2022-01-01 | PDF
    Promising advances in autonomous vehicle (AV) technology have fueled industry and research fields to dedicate significant efforts to the study of the integration of AVs into the traffic network. While most studies anticipate a beneficial role of AVs, contributing to improved traffic efficiency and roadway safety, the underlying assumptions on the i ...
  • Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology [supporting datasets]
    Gouribhatla, Raghuveer ;
    Pulugurtha, Srinivas S.
    2022-01-01 | PDF
    Traffic related crashes cause more than 38,000 fatalities every year in the United States. They are the leading cause of death among drivers up to 54 years in age and incur $871 million in losses each year. Driver errors contribute to about 94% of these crashes. In response, automotive companies have been developing vehicles with advanced driver as ...
    Dataset Supporting Files
  • Drivers Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology
    Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology
    Gouribhatla, Raghuveer ;
    Pulugurtha, Srinivas S.
    2022-01-01 | PDF
    Traffic related crashes cause more than 38,000 fatalities every year in the United States. They are the leading cause of death among drivers up to 54 years in age and incur $871 million in losses each year. Driver errors contribute to about 94% of these crashes. In response, automotive companies have been developing vehicles with advanced driver as ...
  • Equity and Transportation System Implications of Shared Autonomous Vehicle Deployment
    Equity and Transportation System Implications of Shared Autonomous Vehicle Deployment
    Harper, Corey ;
    Yang, Haoming
    2022-01-01 | PDF
    This paper focuses on assessing the transportation system and sub-population level impacts of different pricing and fleet sizing policies for shared AV services in Seattle. While the conclusions of this research are meant to be generalizable, we focus our study on Seattle, Washington because it’s a diverse city with known inequalities among income, ...
  • FaultFree Integrity and Continuity for Driverless Urban Vehicle Navigation with MultiSensor Integration A Case Study in Downtown Chicago
    Fault-Free Integrity and Continuity for Driverless Urban Vehicle Navigation with Multi-Sensor Integration: A Case Study in Downtown Chicago
    Nagai, Kana ;
    Spenko, Matthew
    2022-01-01 | PDF
    Driverless vehicles must operate with a safety integrity level, but urban environments degrade GNSS navigation accuracy and thereby fault-free integrity. Integration with INS helps maintain continuity, but position errors drift over time without GNSS signals. Whether modern navigation systems can provide satisfactory integrity for driverless vehicl ...
361 - 380 / 876
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