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.
Advocates of electric, shared, and automated vehicles (e-SAVs) envision a future in which people no longer need to drive their privately owned, petroleum-fueled vehicles. Instead, for daily travel they rely on fleets of electric, automated vehicles that offer travel services, including the option to share, or “pool,” rides with strangers. The desig
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This report presents an analysis of the potential macroeconomic impacts resulting from the adoption of higher level automated driving systems (ADS) of the long-haul trucking industry in the United States. The analysis uses USAGE-Hwy, a computable general equilibrium (CGE) model of the U.S. economy that includes detail on transportation related indu
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Commuting congestion increases alongside the prosperity of urban cities. With the rapid development of ride sourcing services and the advances of the connected and automated vehicles (CAV), researchers are seeking innovative approaches to alleviate commuting congestion by integrating CAV-based ride sourcing and transit services. We propose a genera
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Transportation electrification is playing an increasingly essential role in mitigating climate change, especially coupled with a sustainable energy system. However, proper placement of charging infrastructures and management of charging activities is the key to ensuring the environmental benefits from the widespread adoption of electric vehicles. E
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Monthly reports on Arlington RAPID project which integrates a shared, dynamically routed automated vehicle (AV) fleet into an existing public rideshare system in Arlington, Texas.
This report summarizes the potential impacts of driving automation on segments of the professional driving workforce in the United States, based largely on an analysis of published research findings and existing data sources. This section describes the scope, context, and methodology; following sections discuss potential workforce impacts, associat
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This project investigated how driver expectations about Level 2 ADAS systems affect driver engagement and performance. Many vehicles available to consumers offer some level of automated driving functionality, but the capabilities of these vehicles vary widely among makes and models. Drivers may have preconceived expectations about how these driver
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This report summarizes the data collected while operating three vehicles equipped with SAE automation level 2 driver assistance systems. Using cameras, driver-annotated video was recorded to document the systems’ availability and noteworthy operation. Notable events were classified into three categories: events where the vehicle terminated its auto
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The development of automated trucking technology is progressing rapidly, and increasing numbers of on-road pilots suggest that full-scale commercial deployment of partially automated truck platoons on public roads is forthcoming.(1) In the United States, platoons typically consist of two to four trucks equipped with cooperative adaptive cruise cont
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Communications between vehicles is one of the most important prerequisites for inter-vehicle coordination, a key feature needed to enable autonomous and semi-autonomous driving, from an efficiency, convenience and safety perspective. Such communication will have to be done with very low latency, which lead the industry into looking at mm-wave bands
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The project presents a pavement sensing system along with a list of promising computing models that can be used to predict pavement conditions using a vehicle-based sensing technology. The project started with data acquisition obtained from the previous field data collection followed by a series of data computing using machine learning methods to d
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Despite growing interest in low-speed automated shuttles, pilot deployments have only just begun in a few places in the U.S., and there is a lack of studies that estimate the impacts of a widespread deployment of automated shuttles designed to supplement existing transit networks. This project estimated the potential impacts of automated shuttles b
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This report focuses on how cities can use climate action plans (CAPs) to ensure that on-demand mobility and autonomous vehicles (AVs) help reduce, rather than increase, green-house gas (GHG) emissions and inequitable impacts from the transportation system. The authors employed a three-pronged research strategy involving: (1) an analysis of the curr
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The main objective of this study is to evaluate the safety and operational impacts of an innovative infrastructure solution for safe and efficient integration of Automated Vehicle (AV) as an emerging technology into an existing transportation system. Filling the gap in the limited research on the effect of AV technology on infrastructure standards,
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This report summarizes the results of a one-year project aimed at exploiting vehicle-to-infrastructure (V2I) communication to enhance the effectiveness of real-time adaptive traffic signal control systems. As originally formulated, the project’s goal was to explore the potential of using the sensing capabilities of connected autonomous vehicles (CA
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Using experience from working on the Knight Autonomous Vehicle (AV) Initiative, Urbanism Next created this white paper to provide a foundation for public sector agencies to approach autonomous vehicle deployment and policy with a focus on equity. This report outlines ways that public agencies can identify community needs and shape deployment to ens
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Automated vehicles (AVs) promise to revolutionize driving safety. Driver models can aid in achieving this promise by providing a tool for designers to ensure safe interactions between human drivers and AVs. In this project, we performed a literature review to identify important factors for AV takeover safety and promising models to capture these fa
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Adaptive cruise control (ACC) is a longitudinal control system through which a vehicle can automatically maintain a driver-selected speed and, through the use of radar or light detection and ranging sensors, a preselected gap between itself and a slower-moving vehicle ahead.(1) ACC is marketed as a convenience system that reduces stress and workloa
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Included in this second volume are 18 Federal Motor Vehicle Safety Standards (FMVSS) research findings, including the performance requirements and test procedures, in terms of options regarding technical translations, based on potential regulatory barriers identified for compliance verification of innovative new vehicle designs that may appear in v
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Data communication links are essential components of the ecosystem of intelligent vehicles, enabling autonomous and semi-autonomous driving. Maintaining a reliable, low latency communication link has been a topic of interest in research and product development. The driving force of these developments is a better awareness of the wider surroundings
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