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 objective of this project was to explore how an autonomous vehicle identifies and safely responds to emergency vehicles using visual and other onboard sensors. Emergency vehicles can include police, fire, hospital and other responders’ vehicles. An autonomous vehicle in the presence of an emergency vehicle must have the ability to accurately se
...
Multiple studies have explored different forms of connected vehicle applications, such as queue warning and cooperative adaptive cruise control (CACC), in standard wireless access in vehicular environments (WAVE), and dedicated short-range communication (DSRC) network environments. A major focus of the ongoing research is to consider a hybrid vehic
...
Advances in transportation technology such as the advent of scooter and bikeshare systems (micromobility), ridehailing, and autonomous vehicles (AV’s) are beginning to have profound effects not only on how we live, move, and spend our time in cities, but also on urban form and development itself. These new technologies are changing the systems of t
...
The potential for automated vehicles (AVs) to reduce parking in city centers has generated much excitement among urban planners. AVs could drop-off (DO) and pick-up (PU) passengers in areas where parking costs are high: personal AVs could return home or park in less expensive locations, and shared AVs could serve other passengers. Reduced on-street
...
Over the next several decades, highly automated driving systems (HADS) will become increasingly common on our roads, greatly reducing traffic accidents and road congestion. However, for the foreseeable future, the human driver will be required to take control of a car when automation fails. Although the benefits to HADS implementation can be substa
...
One of the biggest highly automated vehicle (HAV) market barriers may be a lack of user trust in the automated driving system itself. Research has shown that this lack of faith in the system primarily stems from a lack of system transparency while the vehicle is in motion—users are not informed how the car will react in an upcoming scenario—and not
...
Advanced driver assistance systems (ADAS) are rapidly being introduced across automobile manufacturer lineups. These technologies have the potential to improve safety, but they also change the driver-vehicle relationship—as well as their respective roles and responsibilities. To maximize safety, it is important to understand how drivers’ knowledge
...
Advanced driver assistance systems (ADAS) are rapidly being introduced across automobile manufacturer lineups. These technologies have the potential to improve safety, but they also change the driver-vehicle relationship—as well as their respective roles and responsibilities. To maximize safety, it is important to understand how drivers’ knowledge
...
Autonomous and automated vehicles (AVs) will provide many opportunities for mobility and independence for people with vision impairments (PwVI). This project provides insights on the challenges and potential barriers to their adoption of AVs. The authors examine adoption and use of ridesharing services. The authors study ridesharing as a proxy for
...
One of the missions of C2SMART is to help cities around the country better understand the transferability of transportation technologies. For this purpose, two yearlong projects were initiated from 2018 – 2020 to initiate a new virtual test bed ecosystem: (1) 2018 – 2019: Phase I: Open Source Multi-Agent Virtual Simulation Testbed and (2) 2019 – 20
...
The research aims at developing a resilient framework to be applied to transportation systems using connected and autonomous vehicles (CAVs). This innovation potentially responds to accident rates often related to inefficient communication systems, supported by a variety of state-of-the-art safety applications. A Vehicular Ad hoc Network (VANET) is
...
This document contains the final project report for the SAFER-SIM project titled “Physics-Based Sensor Models for Virtual Simulation of Connected and Autonomous Vehicles.” The report includes discussion of sensors models for simulation autonomous vehicles, and overviews the simulation framework developed in accordance with the project. The framewor
...
One of the biggest highly automated vehicle (HAV) market barriers may be a lack of user trust in the automated driving system itself. Research has shown that this lack of faith in the system primarily stems from a lack of system transparency while the vehicle is in motion—users are not informed how the car will react in an upcoming scenario—and not
...
There are many situations where tacit communication between drivers and pedestrians governs and enhances safety. The goal of this study was to formalize this communication and apply it to the driving strategy of an autonomous vehicle. Toward this, we performed a field study of the interaction between drivers and pedestrians. Vehicles were instrumen
...
In 2015, South Carolina ranked third in the nation in pedestrian fatalities per 100,000 population. Out of 979 total motor vehicle fatalities, 123 involved pedestrians, accounting for over 12% of all road user fatalities in South Carolina. While some individuals make conscious choices to walk and dwell in transit-oriented or mixed-use walkable comm
...
Autonomous vehicles (AVs) will challenge cities in many ways that are critical to address before widescale adoption. In particular, AVs may upset municipal budgets as they upend traditional auto-related funding streams like registration fees and parking revenues. This research begins to quantify the potential financial impacts of AVs by analyzing c
...
In 2015, South Carolina ranked third in the nation in pedestrian fatalities per 100,000 population. Out of 979 total motor vehicle fatalities, 123 involved pedestrians, accounting for over 12% of all road user fatalities in South Carolina. While some individuals make conscious choices to walk and dwell in transit-oriented or mixed-use walkable comm
...
Future transportation system is expected to be in a hybrid form instead of the basic road-vehicle-passenger relationship that is still very common in most transportation systems. That is to say, future transportation will cover additional scenarios and different types of vehicles with partial or full automation. A very representative example is the
...
The portion of the research project included in this volume focused on 12 Federal Motor Vehicle Safety Standards (FMVSS). It provides research findings, including the performance requirements and the test procedures, in terms of options regarding technical translations based on potential regulatory barriers identified for compliance verification of
...
The development of autonomous vehicles that behave as independent robots relying solely on their on-board sensors to operate in highly uncertain environments which are to be learned using massive data and machine learning and artificial intelligence techniques is an approach that dominated the industry of autonomous vehicles. Current autonomous veh
...
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.