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.
This report investigates and develops specifications for using blockchain and distributed organizations to enable decentralized delivery and finance of urban infrastructure. The project explores use cases, including: providing urban greening, street or transit infrastructure; services for street beautification, cleaning and weed or graffiti abateme
...
Crashes involving transit vehicles, bicyclists, and pedestrians are a concern in Texas, especially in urban areas. This research explored the potential of automated and connected vehicle (AV/CV) technology to reduce or eliminate these crashes. The project objectives focused on identifying safety concerns related to the interaction of transit vehicl
...
This project seeks to examine how transit work will transform as autonomous vehicle (AV) technology is applied to the complex operating environment of public transit. While there is a legacy of autonomous transport in controlled settings such as airport “people movers,” recent technological advancements target both constrained busways and unconstra
...
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
...
This project sought to develop a coordinated and consistent multi-state approach to the setting of policies, laws, and regulations within the New England region to support the seamless operation of ADS-equipped vehicles across the New England states.
The operational characteristics of freight shipments will significantly change after implementation of autonomous and connected trucks (ACTs). This change will have major impacts on mobility, safety, and infrastructure service life. Truck platooning is one of the truck arrangements that will soon become feasible with connected vehicle technology. I
...
Autonomous vehicles (AVs) prospectively offer enhanced safety and mobility for travelers and increased efficiency of transportation system operations. AVs are likely to have significant impacts on the forms and functions of the built environment. In addition, the increasing urban air pollution, energy consumption, and climate change foster the need
...
Increasing the level of autonomy in both small aircraft and autos has the potential to generate greater efficiency and utility in multimodal regional transportation systems. In previous research, the PI and collaborators developed a computational analysis framework to assess the impact of aircraft technology advancement in electric propulsion and a
...
Connected and autonomous vehicles (CAVs) will generate a revolution in the transportation system, with great potential to improve traffic safety, efficiency, and environmental sustainability. However, the transition to CAVs will occur over time and, during it, CAVs will coexist with human-driven vehicles (HDVs) in the traffic flow. While several st
...
With greater vehicle automation, research on how the communication of capabilities and limitations of automated driving systems (ADSs) impacts safety needed. High profile crashes involving misuse of partial driving automation systems (L2) suggest that some drivers over-trust currently available L2 ADSs relative to their capabilities. This could wor
...
Autonomous vehicles (AVs) are an emerging theme for future transportation. However, research on pedestrian-AV interaction, which promotes pedestrian safety during autonomous driving, is not a well-explored domain. One challenge preventing the development of pedestrian-AV interaction research is that there is no publicly available and standardized b
...
The study developed Human-Autonomous Vehicle Interaction Testbed (HAVIT), a VR-based platform that enables researchers and designers to quickly configure AV interaction scenarios and evaluate their design concepts during the design process in a holistic and consistent manner. The HAVIT presents an efficient workflow that combines the tasks of Scena
...
The research described in this report was motivated by frequent questions from users of several crosswalks near a university campus. At each crosswalk was a sign indicating that motorists should yield to pedestrians in the crosswalk. The notion that this message was not being interpreted uniformly was a concern at locations where heterogeneous road
...
The first part of this study addresses the use of fog-cloud architecture for a deep reinforcement learning-based control framework and presents a case study involving urban traffic dynamic rerouting. Past work has shown that dynamic rerouting can mitigate traffic congestion and can be facilitated using emerging technologies such as Deep Reinforceme
...
The objective of this project is to examine the potential effects of high-level vehicle automation on energy demand and greenhouse gas (GHG) emissions from vehicles. To achieve this, improved projections of future travel demand and patterns of autonomous vehicles (AVs) were obtained using a stated preference survey distributed in Indianapolis, Indi
...
Through its Emerging Mobility initiative, the National Park Service (NPS) implemented two electric, automated shuttle pilots at Yellowstone National Park and Wright Brothers National Memorial. “The Electric Driverless Demonstration in Yellowstone” (TEDDY) pilot operated from June to August 2021 with two Local Motors Olli shuttles operated by Beep,
...
Little is known about how driving performance and attention change over time with increased automation. The current study assessed the effect of varying levels of vehicle automation on driver performance over time. Participants gained experience with advanced driver assistance systems (ADAS) across four sessions in the driving simulator. The specif
...
Motor vehicle crashes are one of the top ten causes of death in the United States. In 2019, more than 36,096 people lost their lives in road crashes. All drivers are at risk of being involved in a crash, regardless of whether they drive on familiar roads with the safest vehicles. According to Traffic Safety Facts published by the National Highway T
...
Report and Period Covered 14. Sponsoring Agency Code 15. Supplemental Notes 16. Abstract Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehi
...
Shared transportation has grown significantly as renewed interest in urbanism and growing social and economic concerns have strengthened the need for sustainable alternatives. Shared autonomous vehicles (SAVs) are emerging as an alternative mode of transportation that could improve mobility and accessibility. However, the implications of SAVs on so
...
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.