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.
In this report we address the problem of cooperative lane change maneuvers where vehicles communicate with each other and negotiate the creation of safe spacings in order to merge without taking any safety risks. The proposed approach requires that the merging vehicle negotiates the creation of a safety gap in the destination lane and till the lane
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This report documents the work completed by the Crash Avoidance Metrics Partners LLC (CAMP) Vehicle to Infrastructure (V2I) Consortia during the sixth year of the “Development of Vehicle-to-Infrastructure Applications (V2I) Program.” Participating companies in the V2I Consortia (V2I, V2I-2 and V2I-3) during this period were Ford, General Motors, Hy
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Detection performance as a function of distance was measured for 16 subjects who pressed a button upon aurally detecting the approach of an electric vehicle. The vehicle was equipped with loudspeakers that broadcast one of four additive warning sounds. Other test conditions included two vehicle approach speeds [10 and 20 km/h (kph)] and two backgro
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This report summarizes the results of a study conducted to document the safety and mobility needs of Rural, Isolated, Tribal, or Indigenous (RITI) communities and to identify autonomous and connected vehicle technology that have the potential of addressing these needs. A review of the administrative structure for the five Native American Tribes in
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We present a novel statistical inference framework for convex empirical risk minimization, using approximate stochastic Newton steps. The proposed algorithm is based on the notion of finite differences and allows the approximation of a Hessian-vector product from first-order information. In theory, our method efficiently computes the statistical er
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This paper develops an analytic system to investigate the effects of AV availability on multiple dimensions of activity-travel behavior at once, based on a direct survey-based modeling approach. The model uses individual socio-demographics, built environment variables, as well as psycho-social variables (in the form of latent psychological construc
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Reservation-based traffic control is a revolutionary intersection management system which involves the communication of autonomous vehicles and an intersection to request space-time trajectories through the intersection. Although previous studies have found congestion and throughput benefits of reservation-based control that surpass signalized cont
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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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Deployment of automated ground vehicles beyond the confines of sunny and dry climes will require sub-lane level positioning techniques based on radio waves rather than near-visible-light radiation. Like human sight, lidar and cameras perform poorly in low-visibility conditions. This paper develops and demonstrates a novel technique for robust sub-5
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With the advent of automated vehicle systems, the role of drivers has changed to a more supervisory role. However, it is known that all vehicles with Level 2 (L2) systems have a very specific operational design domain (ODD) and can only function on limited conditions. Hence, it is important for drivers to perceive the situations properly and regain
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We present a novel statistical inference framework for convex empirical risk minimization, using approximate stochastic Newton steps. The proposed algorithm is based on the notion of finite differences and allows the approximation of a Hessian-vector product from first-order information. In theory, our method efficiently computes the statistical er
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Automated vehicles (AVs) should be deployed gradually and geometrically selectively to ensure safety. Frequent collisions of AVs in certain driving scenarios, such as in dark streets or crowded areas, have posed wide concerns of AV safety. People want to know what kinds of driving circumstances or areas are easy for AVs and what are relatively hard
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FTA has conducted research on conceptual ideas, prototypes, and commercially available products related to automated vehicle technologies for transit bus operations. The emerging automated transit bus market has received enthusiastic media coverage, but stakeholders may not clearly understand the difference between conceptual ideas, prototype syste
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This report presents a study that investigated potential travel behavior changes in light of automated, connected, electric, and shared-use vehicle (ACES) technologies. Three main aspects of choice behavior were investigated: AV adoption and willingness to pay (WTP), shared mobility adoption, and mode choice. Particularly, this study focuses on exp
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This study was designed to assess capacity changes due to the introduction of connected vehicles (CVs) and automated vehicles (AVs) on Virginia freeway corridors. Overall, three vehicle types, including legacy vehicles (LVs); vehicles equipped with adaptive cruise control (ACC) (AVs); and vehicles equipped with cooperative adaptive cruise control (
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Disruptive changes in mobility services are emerging across the nation and in New York State that have the potential to further enable private car-optional lifestyles and expanded, more flexible and affordable mobility choices. By convening stakeholder engagement roundtables of advanced transportation experts, then utilizing available data for visu
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This research project is intended to track disruptive technologies impacting transportation including automated and connected vehicles, big data analytics, shared vehicles, electric vehicles and novel modes of transportation. The researchers follow industry and technology trends, synthesize research results from the full range of Carnegie Mellon Un
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A burgeoning field of research has begun to directly compare the impacts of pairing vehicle automation and connectivity to automation alone. While most recent impact studies that evaluate adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) rely on traffic simulation, the US Department of Transportation has recently conducte
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This study evaluates the potential human health impacts from connected and autonomous vehicles (CAVs) scenarios in the San Francisco, Bay Area. The study concentrates on impacts derived from the effects of CAVs on travel demand, safety, and environmental emissions. The study combines an extensive literature review about the extent of such potential
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The increasing number of senior drivers may introduce new road risks due to age-related declines in physical and cognitive abilities. Advanced driver assistance systems (ADAS) have been proposed as solutions to minimize age-related declines, thereby increasing both senior safety and mobility. This study examined factors that influence seniors’ atti
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