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.
A key challenge facing cities of today is the persistent and growing urban congestion that has significant adverse effects on economic productivity, emissions, driver frustration, and quality of life. The concept of smart cities, which can revolutionize the management of metropolitan transportation operations and infrastructure, shows great promise
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The Federal Railroad Administration (FRA) has engaged in several initiatives to help improve the safety of highway-rail crossings. To that end, FRA recently funded research through the Small Business Innovation Research (SBIR) program to encourage development of a drone-based inspection system for highway-rail grade crossings. Phase 1 of this SBIR
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The number of vehicles with advanced driver-assist systems (ADAS) that can simultaneously perform automated steering and acceleration is increasing, with the expectation that these capabilities will be available in low-cost models as well as luxury cars. These systems require human drivers to be alert and available at all times in case they need to
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Connected and Autonomous Vehicles (CAVs) have gained huge expectations in improving safety, efficiency, and environmental friendliness for transportation. However, they are still at a relatively early stage of development, and little attention has been paid to the readiness of roadway infrastructure. The focus of this report will be on infrastructu
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Autonomous vehicles (AVs) are rapidly emerging in United States cities, leaving urban and regional planning institutions unsure how to plan and develop policies. This paper analyzes how regional transportation plans (RTPs) developed by metropolitan planning organizations (MPOs) are approaching the risks and opportunities presented by AVs. Among 52
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The goal of this project is to improve mobility in urban street networks by developing a methodology for dynamic speed harmonization suitable for connected urban street networks. The methodology aims at finding optimal advisory speeds on each transportation link that will be transferred to connected and autonomous vehicles, with the objective of re
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This research will develop guidelines and recommendations for estimating and predicting intersection efficiency in the presence of connected and autonomous vehicles (CAVs) and therefore will lead to a better understanding of how CAVs will improve mobility at signalized intersections. To better understand the impact of CAVs on the operation of signa
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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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