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.
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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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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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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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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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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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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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.
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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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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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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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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The emerging field of Advanced Air Mobility (AAM) presents myriad opportunities for disrupting traditional modes of transport, including passenger travel to cargo logistics. However, its path to full-scale adoption is fraught with regulatory, market, and logistical challenges. This report presents a nuanced understanding of AAM's complexities and i
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User trust is pivotal to autonomous vehicle (AV) operations which are driven by artificial intelligence (AI). A promising way to build user trust is to use explainable artificial intelligence (XAI) which requires the AI system to provide the user with the underlying explanations for its decisions. Motivated by the need to enhance user trust and the
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Numerous demonstrations and deployments of automated shuttles and buses are occurring in downtown areas, university campuses, business and medical parks, and entertainment complexes throughout the United States. This research project focused on ensuring that individuals with disabilities have equal and safe access to automated shuttles and buses to
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The number of automated features in surface vehicles is increasing as new vehicles are released each year. Some features allow drivers to temporarily take their attention off the road to engage in other tasks. However, sometimes it is important for drivers to immediately take control of the vehicle. To take control safely, drivers must understand w
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Cost-effective ways to obtain and distribute traffic data, and thereby, to facilitate operations decisions. This includes a need to make Signal Phase and Timing (SPaT) and MAP data more useful to traffic data end-users. Existing data collection and delivery methods are time consuming and costly. Therefore, to facilitate traffic operations in the cu
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The emerging field of Advanced Air Mobility (AAM) presents myriad opportunities for disrupting traditional modes of transport, including passenger travel to cargo logistics. However, its path to full-scale adoption is fraught with regulatory, market, and logistical challenges. This report presents a nuanced understanding of AAM's complexities and i
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