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.
Autonomous vehicles (AVs) at varying market penetration rates will change traffic flow and highway performance. At AV market penetration rates of between 0 percent and 100 percent, human-driven vehicles (HVs) will be interacting with AVs. However, little is known about how HVs interact with AVs. Using the Oregon State University Driving Simulator,
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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
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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
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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
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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
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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
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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
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Most mid-size and large open-campus universities have courtesy shuttle or bus service as an important mode of transportation around campus and in nearby vicinities. Given on-campus traffic conditions, traffic congestion between classes, the nature of short-distance trips within or around campus, and difficulty with finding parking spaces, automated
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The Federal Rail Administration (FRA) Highway-Rail Grade Crossing Inventory database from 2019 states that there are approximately 127,000 public, at-grade highway-rail grade crossings in the U.S. Despite this large number of direct intersections between the public highway and largely private rail systems, little current intelligent transport syste
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The Urbanism Next Center at the University of Oregon, in partnership with Alta Planning + Design, Spirit for Change, and Metro hosted the Future of Public Spaces and Placemaking workshop on January 24th, 2020. This one-day workshop, supported by the Knight Foundation, brought together a wide range of community activists, government officials, polic
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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