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.
This study was designed to help public agencies understand what activities are most likely to help them achieve their pilot project goals. Researchers describe 10 recommended actions for all pilot projects, regardless of the mode. Researchers focused on pilot projects in the United States and Canada that involve testing of new mobility services and
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The potential for automated vehicles (AVs) to reduce parking to allow for the conversion of on-and off-street parking to new uses, such as new space for walk, bike, and shared -micro-mobility services, and housing), has sparked significant interest among urban planners. AVs could drop-off and pick-up passengers in areas where parking costs are high
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Traffic signals, while serving an important function to coordinate vehicle movements through intersections, also cause frequent stops and delays, particularly when they are not properly timed. Such stops and delays contribute to significant amount of fuel consumption and greenhouse gas emissions. The recent development of connected and automated ve
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How to generate testing scenario libraries for connected and automated vehicles (CAVs) is a major challenge faced by the industry. In previous studies, to evaluate maneuver challenge of a scenario, surrogate models (SMs) are often used without explicit knowledge of the CAV under test. However, performance dissimilarities between the SM and the CAV
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Studies over the past decade have shown that eco-driving systems which provide speed advisories to drivers/vehicles using data received via vehicle-to-infrastructure and vehicle-to-vehicle communications can help improve traffic mobility and reduce vehicle energy and emission levels. This study extends the Eco-Cooperative Adaptive Cruise Control (E
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Connected and autonomous vehicles (CAVs) have the capability to acquire real-time information from each other while human-driven vehicles (HVs) are standalone in the vehicle roadway navigation system. The information asymmetry poses great challenges in managing and controlling vehicles in the mixed traffic. To address such challenges, a new lane-ch
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In this report, the authors model the system of a platoon mixed with multiple connected human-driven vehicles (HDVs) and a connected and autonomous vehicle (CAV) as a set of differential difference equations (DDEs), by taking into account drivers’ heterogeneous feedback gains and reaction delays as well as the actuator (engine) delay. Then, the aut
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Individuals with autism represent a sizeable share of the U.S. population (almost 2%), and nearly half of those with autism have average to high levels of intelligence. However, available research shows that adults with autism have a much more difficult time becoming employed and living independently compared to both typically developing adults and
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Emerging transportation technologies including electric and autonomous vehicles and emerging mobility services such as ride-hailing and vehicle sharing are bringing about transformative changes in the transportation landscape. With the emergence of new transportation technologies and services, it is critical that transportation forecasting models b
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The objective of this research was to provide the Tennessee Department of Transportation (TDOT) an evaluation on the performance of an autonomous truck mounted attenuator (ATMA) system(s), based on previous relevant research projects and on actual testing of the equipment during a demonstration pilot. A set of testing scenarios were developed in cl
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Over the next several decades, highly automated driving systems (HADS) will become increasingly common on our roads, greatly reducing traffic accidents and road congestion. However, for the foreseeable future, the human driver will be required to take control when automation fails. Therefore, it is critical to understand how take-overs from HADS af
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Our research generated demographic, survey, and behavior data related to driver performance on a simulated highway environment. Data was collected from 36 individuals, that were predominantly undergraduate and graduate students at California State University Long Beach. All identifying information has been removed from the data. Specifically, data
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This report recaps Our New Mobility Future, a thought leadership speaker series held from May to September 2019 at the U.S. DOT Volpe Center in Kendall Square, Cambridge, MA. The series convened distinguished experts in transportation entrepreneurialism, design, policy, anddata science who are transforming novel transportation modes to explore the
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The objective of the Work Zone Data Exchange (WZDx) Specification is to enable infrastructure owners and operators (IOOs) to make harmonized work zone data available for third party use. The project aims to get data on work zones into vehicles to help automated driving systems (ADS) and human drivers navigate more safely. The main objectives of the
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This report discusses the foundation of innovative decentralized mobility services for individuals with physical or cognitive disabilities using disability-friendly autonomous electric mobility on-demand (AEMoD) services. By leveraging both the Internet-of-things (IoT) and its associated fog control capabilities, this framework will enable real-tim
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Autonomous vehicles (AVs) are a near future reality and the implications of AVs on city development and urban form, while potentially widespread and dramatic, are not well understood. In addition, there are other fundamentally disruptive technological forces undergoing simultaneous rapid development and deployment, including the introduction of new
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The Eco-Approach and Departure (EAD) application has been proved to be environmentally efficient for a Connected and Automated Vehicles (CAVs) system. In the real-world traffic, traffic conditions and signal timings are usually dynamic and uncertain due to mixed vehicle types, various driving behaviors and limited sensing range, which is challengin
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It is predicted that half of the vehicles sold and 40% of vehicle travels could be autonomous in the 2040s (Litman 2017). However, how the presence of connected and autonomous vehicles (CAV) impacts highway capacity and network system performance remains unclear. Without this knowledge, it is hard to understand and quantify the implication of the d
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Winter maintenance of major transportation corridors in northern states presents a persistent challenge, necessitating substantial investment by Departments of Transportation (DOTs). Inefficient snow removal operations contribute to safety hazards, reduced road capacity, and economic losses, particularly for freight transportation. This study devel
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Considering the rapid boom in information technology and people’s increasing dependence on mobile data, automotive manufacturers have started equipping vehicles with wireless communication capabilities, manufacturing what are commonly known as connected vehicles, and autonomous systems to assist drivers with certain driving tasks. These technologic
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