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 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
...
Although the Highway Safety Manual (HSM) now provides empirical tools for predicting the safety consequences of highway engineering decisions, these tools represent the prevailing driver and vehicle conditions in the United States during the last few decades. As automated vehicles improve in capability and increase in market share, these conditions
...
This report presents the results of a test and evaluation effort that assessed the performance of three research mobility applications implemented by the open-source second-generation Cooperative Automation Research Mobility Applications (CARMA2) platform. This platform enables the research and development of cooperative automated driving system ca
...
Connectivity and automation in vehicles have the potential to change nearly every aspect of our transportation system. Vehicles with these capabilities are already being tested on public roads and are beginning to enter the national fleet. These vehicles have the potential to bring numerous benefits to the public, but these benefits come with trade
...
Connected and autonomous vehicles (CAVs) have the capability to acquire real-time information from each other while human-driven vehicles (HVs) are standalone in the vehicle roadway navigation system. The information asymmetry poses great challenges in managing and controlling vehicles in the mixed traffic. To address such challenges, a new lane-ch
...
Study Objectives: 1) Understanding what influences decisions of postponing the purchase, keeping or giving up private vehicle ownership of non-AVs in the short and long run. 2) Assessing the intention to switch from public transportation in favor of ride-sharing services operated in AVs.
Research Objectives: Assess public acceptance of AVs across disadvantaged areas. Identify market segments with different characteristics and different levels of adoption Identify transportation disadvantaged areas. Provide best strategies and suggestions to these areas to ensure smooth transition.
This data management plan (DMP) explains how data from the project "Connected Autonomous Traffic Signal Control Algorithms and Fleet Vehicles" will be managed and shared.The purpose of the research project is to create field-ready, Connected-Autonomous Vehicles (CAV)-based traffic control programs that will improve operations and safety of trucks a
...
This report summarizes the project activities and results of the Generation 2 (Gen2) Driver Assist System (DAS) used by the Minnesota Valley Transit Authority (MVTA) for bus shoulder operations. It provides warnings for lane departure, side collision, and forward collision. The Gen2 DAS is a GPS-based technology suite that provides lane position fe
...
With the increasing adoption of adaptive cruise control (ACC) and development of cooperative adaptive cruise control (CACC), their effect on traffic, energy, and emissions is an ever more urgent question. Using the rapidly growing body of research on these impacts, this report presents a systematic review and meta-analysis of 67 recent studies. The
...
Objective: This article provides a review of empirical studies of automated vehicle takeovers and driver modeling to identify influential factors and their impacts on takeover performance and suggest driver models that can capture them. Background: Significant safety issues remain in automated-to-manual transitions of vehicle control. Developing mo
...
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.