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.
Connected and autonomous vehicles (C/AV) present the opportunity for momentous and positive changes to most aspects of modern life. When described, the impact to mobility is imagined as safer and more efficient. This comes from the chance to build a self-driving and connected network of vehicles, infrastructure, and supporting data exchanges.... As
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Intelligent road infrastructure consisting of sensors and communications is needed to deploy connected and automated vehicles (CAVs) on real highways. Such infrastructure can support the operation of CAVs (e.g., maneuver coordination and onboard energy management), and bridge the connectivity gap resulting from the currently low penetration of conn
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This project is concerned with adapting land use and transportation infrastructure for automated driving. Autonomous vehicles will likely yield a transformation of urban form, its land use and mobility system. We propose to establish quantitative modeling frameworks to analyze these impacts and implications. The frameworks will provide a quantifiab
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This paper proposes a novel physics-informed machine learning framework for motion planning and control of autonomous vehicles. By integrating longitudinal and lateral control, a nonlinear control problem is formulated using Model Predictive Control (MPC). To address computational challenges, a self-supervised framework, Recurrent Predictive Contro
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As privately owned and shared autonomous vehicles (AVs and SAVs) and automated trucks (ATrucks) become available, TxDOT and partner agencies must anticipate their travel, trade, emissions, cost, and other implications. Introducing these modes can significantly alter mode choices for passenger travel and freight and impact traffic volumes and conges
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United States. Department of Transportation. Federal Highway Administration
2023-12-01
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Manual on Uniform Traffic Control Devices for Streets and Highways
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The purpose of the Manual on Uniform Traffic Control Devices (MUTCD) is to establish uniform national criteria for the use of traffic control devices that meet the needs and expectancy of road users on all streets, highways, pedestrian and bicycle facilities, and site roadways open to public travel. There are nine parts to this manual: (1) General,
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United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research
2023-12-01
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This PowerPoint slide was created to explore a new method to get summary information across to a non-technical audience. The slide is intended to be used in presentations on child restraint use when giving an overview of the topic.
In an ever-evolving world characterized by environmental challenges and technological advancements, the confluence of natural disasters, particularly increasing wildfire threats, and the role of connected and autonomous vehicles (CAVs) stands as a critical focal point for research and innovation. This study embarks on a comprehensive exploration of
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Researchers focused on three research issues: 1) predicting and making recommendations for future evacuations under wildfire conditions using connected vehicle data, 2) driving behaviors in wildfire evacuations, and 3) autonomous vehicle perceptions in winter conditions. This research addresses the urgent need for enhanced emergency evacuation stra
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To help mitigate road fatalities due to human error, transportation stakeholders are turning to advanced driver assistance systems and autonomous vehicle (AV) development. However, the stakeholders continue to seek assurance of the safety performance of this new technology. This is often done using simulation testing of AV sensors and other platfor
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Most road fatalities are caused by human error. To help mitigate this issue and enhance overall transportation safety, companies are turning to advanced driver assistance systems and autonomous vehicle development. Perception, a key module of these systems, mostly uses light detection and ranging (LiDAR) sensors and enables object detection and env
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When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would
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Truck-Mounted Attenuators (TMAs) are energy-absorbing devices added to heavy shadow vehicles to provide a mobile barrier that protects work crews from errant vehicles entering active work zones. In mobile and short duration operations, drivers manually operate the TMA, keeping pace with the work zone as needed to function as a mobile barrier protec
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When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would
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This study compares the operational and policy-related data from 120 autonomous shuttle deployments worldwide. Additionally, an analysis was conducted to identify the strengths, weaknesses, opportunities, and threats associated with autonomous shuttle deployments. The study also comprehensively analyzes the perceptions of practitioners and industry
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This document serves as a comprehensive guide on how to use the SAM AV Module within the context of the 5-7081-01 implementation project. This module is a variation SAM-V4 model (Statewide Analysis Model) modified to include autonomous vehicles (AVs), shared autonomous vehicles (SAVs) and autonomous trucks (ATrucks). This project introduces autonom
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In GNSS-degraded environments, whether the degrada6on is naturally occurring (e.g., in deep urban canyons) or inten6onal (e.g., in the presence of a jammer or a spoofer), ambient radio frequency (RF) signals can be exploited as an alterna6ve posi6oning, naviga6on, and 6ming (PNT) source. These signals are commonly referred to as signals of opportun
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GPS/GNSS systems have been a very critical element to the operation of various modern vehicles as knowing the position of vehicles is very important for many reasons, such as the safety of the vehicles. As an example, the precise GNSS positioning requires receiving clear signals from many satellites over the sky for an automobile at any given locat
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Highly automated transportation systems rely on a steady stream of signals and information from external sources for localization, route planning, perception, and general situational awareness. This includes reliance on positioning, navigation, and timing (PNT) information: Location is essential autonomous navigation and planning; and accurate timi
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