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 Northeast Connected and Automated Vehicle Summit was hosted by the Connecticut Department of Transportation, the Federal Highway Administration, and the University of Connecticut on June 12-13, 2019, at the Hartford Hilton Hotel. The event provided an open forum for stakeholders in the Northeast to network, share, and discuss a wide range of to
...
Autonomous vehicles (AVs) are poised to dramatically reshape the transportation system. They are likely to have significant consequences on urban transportation issues: energy use, vehicle miles traveled, the need for neighborhood parking, the ease of accessing employment, and the incidence of pollution—in both positive and negative directions. Nat
...
The near-term goal of this project was to develop and evaluate an initial set of standardized test procedures that vehicles equipped with automated driving features could undergo to compare capabilities and limitations across different implementations of automated technologies. In the longer term, this project will provide a basis for future automa
...
Massive employment growth at the Tahoe Reno Industrial Center (TRIC), with housing stock primarily in the Reno/Sparks area – and a constrained transportation corridor (I-80) connecting the two – is leading to significant congestion with the potential to slow desired economic development in the region. In addition to other strategies under considera
...
The primary objective of this research is to operationalize a new tour-based travel behavior modeling framework that addresses three limitations of existing frameworks. First, it represents time as a continuous entity. Second, it captures the interrelationship between stops and tours across the day. Third, it accommodates the temporal constraints w
...
The overarching goal of this research is to reframe debate about the autonomous vehicle (AV) from its current perspective that encourages states to understand how to respond to this evolving technology to a more proactive stance organized around the question of what outcomes society would like to obtain from the strategic deployment of AV technolog
...
This report documents the work completed by the Crash Avoidance Metrics Partners LLC (CAMP) Vehicle to Infrastructure (V2I) Consortium during the fifth year of the “Development of Vehicle-to-Infrastructure Applications (V2I) Program.” Participating companies in the V2I Consortium during this period were Ford, General Motors, Hyundai Motor Group, Ho
...
In the near future, responsible highway agencies will need to effectively coordinate emerging autonomous vehicle (AV) flows while contending with daily recurrent congestion. This study presents a systematic procedure for understanding how AV flows impact traffic under different AV behavioral mechanisms (i.e., car-following and lane-changing), penet
...
Connected and automated vehicles (CAVs) are becoming increasingly prevalent, bringing with them potential for better safety and mobility. However, these vehicles can create many thousands of transactions in a flash, creating a challenge for current technologies that are not capable of transmitting such big data, privately, and securely. Distributed
...
Connected vehicles enabled through the installation of IEEE WAVE/DSRC standard-compliant radios in vehicles and on roadside units (RSU) that operate on DSRC bands will enable multiple innovations that promote safety and efficiency. An example is intelligent signalized intersections that allow an RSU at the intersection to obtain real-time informati
...
This document contains an overview of the software infrastructure developed under the SAFER-SIM project “Developing an Open Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles”. We provide a description of the four foundational simulation elements – agent dynamics, sensing, communication, and virtual worlds – that anchor Syn
...
The current state-of-the-art in using remotely controlled or small unmanned aerial systems (sUAS) for bridge inspection focuses only on taking visual measurements from a distance of many meters. This is not a sufficient substitute for the inspection made via contact sensing by a human inspector. Furthermore, these systems often require global posit
...
Contemporary research indicates that the era of autonomous vehicles (AVs) is not only inevitable but may be reached sooner than expected; however, not enough research has been done to address road infrastructure readiness for supporting AV operations. Highway agencies at all levels of governments seek to identify the needed infrastructure changes t
...
Roadside work zones (WZs) present imminent safety hazards for roadway workers as well as passing motorists. In 2016, 764 fatalities occurred in WZs in the United States due to motor vehicle traffic crashes, which are the second most common cause of worker fatalities. The advent of connected and connected automated vehicles (CVs/CAVs) is driving WZ
...
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
...
Disruptive transportation technologies such as autonomous vehicles and mobility-on-demand services are bringing transformative changes in the urban area. To enhance our understanding of various impacts of these new mobility options on travel behavior and relative consequences, people’s attitudes towards and perceptions of these technologies and ser
...
The intent of this project is to explore unobserved heterogeneity and its interpretation by undertaking a series of empirical applications that use some of the most advanced heterogeneity models available. The project report begins by studying effect of information on changing opinions toward autonomous vehicle adoption (Chapter 2). The report then
...
Automated Truck Platooning (ATP) enables a group of commercial trucks to move safely together with higher speeds and shorter headways between them. By assisting truck drivers and reducing human error, ATPs are expected to improve traffic safety. Since 2013, the performance of ATPs has been investigated through several research efforts that included
...
Roadside work zones (WZs) present imminent safety hazards for roadway workers as well as passing motorists. In 2016, 764 fatalities occurred in WZs in the United States due to motor vehicle traffic crashes, which are the second most common cause of worker fatalities. The advent of connected and connected automated vehicles (CVs/CAVs) is driving WZ
...
This project focuses on establishing driving etiquette based on naturalistic driving behavior of human drivers to serve as the basis for the design of autonomous vehicles to drive "like safe human drivers." The project queried a large amount of naturalistic driving data from the Ann Arbor, Michigan connected vehicle deployment. The data were used t
...
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.