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.
The research objective was to develop and demonstrate tools that can serve as the foundation of coordinated ACES activities in Florida. The researchers also conducted outreach events with stakeholders to introduce and encourage use of the tools.
The recent progress in autonomous vehicle research and development has led to increasingly widespread testing of fully autonomous vehicles on public roads, where complex traffic scenarios arise. Along with these vehicles, partially autonomous vehicles, manually-driven vehicles, pedestrians, cyclists, and some animals can be present on the road, to
...
The rapid rise of on-demand transportation and e-commerce goods deliveries, as well as increased cycling rates and transit use, are increasing demand for curb space. This demand has resulted in competition among modes, failed goods deliveries, roadway and curbside congestion, and illegal parking. This research increases our understanding of existin
...
Researchers at the University of California, Davis investigated the range of potential impacts that rapid adoption of CAVs in California might have on vehicle miles traveled and emissions. The researchers estimated the vehicle miles traveled and emissions of each scenario using a statewide travel demand model, emissions factors from California agen
...
The Little Roady Autonomous Vehicle (AV) shuttle pilot was coordinated by the Rhode Island Department of Transportation and consisted of a free daily shuttle service operated from May 2019 through June 2020 along a twelve-stop, 5.3-mile loop along the Woonasquatucket Corridor in Rhode Island. Key goals of the Little Roady project were to safely int
...
Passenger and heavy-duty vehicles make up 36% of California’s greenhouse gas (GHG) emissions. Reducing emissions from vehicular travel is therefore paramount for any path towards carbon neutrality. Efforts to reduce GHGs by encouraging mode shift or increasing vehicle efficiency are, and will continue to be, a critical part of decarbonizing the tra
...
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.
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.