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.
Motion discomfort in highly automated vehicles and in simulators represents a persistent problem that might be mitigated if it can be monitored. In driving simulators, motion discomfort can compromise data collection. In highly automated vehicles, motion discomfort can discourage people from riding in such vehicles, undermining the potential safety
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Motion discomfort in highly automated vehicles and in simulators represents a persistent problem that might be mitigated if it can be monitored. In driving simulators, motion discomfort can compromise data collection. In highly automated vehicles, motion discomfort can discourage people from riding in such vehicles, undermining the potential safety
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The data was determined in 2017 in Texas A&M Transportation Institute using Texas Mechanistic-Empirical Pavement Design and Analysis (TxME) program. It presents the pavement damage such as rutting and cracking development with time. Three scenarios were compared: regular traffic, Automated vehicles (AV) which keeps narrow wandering within the lane,
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The confluence of vehicle electrification, sharing and pooling, and automation alters petroleum-fueled, human-piloted, and privately-owned and operated vehicles for personal mobility in ways that raises such questions as, "Are such systems safe and secure?" and, "Who is being kept safe and secure from what (or whom)?" Answers are implied by filling
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Advanced driver-assistance systems (ADAS) are becoming widely available in the new vehicle landscape, increasing of both vehicle occupants’ and other road users’ safety. In some vehicles, longitudinal and lateral positioning under certain conditions can be maintained, designating them as having either SAE level 1 (L1) or level 2 (L2) automated feat
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Both human drivers and autonomous vehicles are able to drive relatively well in frequently encountered settings, but fail in exceptional cases. These exceptional cases often arise suddenly, leaving human drivers with a few seconds at best to react— exactly the setting that people perform worst in. Autonomous systems also fail in exceptional cases,
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This paper presents the results of a review of simulation frameworks and standards that could be instrumental to testing and assessment of vehicles with SAE International driving automation Level 4 and 5 automated driving systems (ADSs). A simulation framework or standard describes the object level scenario data (the positions, orientations, and ve
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Self-driving cars won’t work until we change our roads,” wrote Andrew Ng, chief of research at Chinese tech giant Baidu.1 Though Ng may exaggerate, autonomous vehicles (AVs) do benefit greatly from “smart infrastructure.” Witnessing AVs’ rise, American governments have eagerly begun smart infrastructure projects, but few have developed stable metho
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Vision-based navigation of autonomous vehicles primarily depends on the Deep Neural Network (DNN) based systems in which the controller obtains input from sensors/detectors, such as cameras and produces a vehicle control output, such as a steering wheel angle to navigate the vehicle safely in a roadway traffic environment. Typically, these DNN-base
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The Texas Technology Task Force is an external advisory board to the Texas Department of Transportation (TxDOT) that conducts technology discovery activities and delivers recommendations for advancing technology to prepare the future Texas transportation system. The Task Force is developing a Technology Utilization Plan that will serve as the fulcr
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Researchers at California Partners for Advanced Transportation Technology (PATH), a research and development program at the University of California-Berkeley, studied the potential benefits of cooperative adaptive cruise control (CACC) by deploying the technology in a platoon of three trucks. They built the CACC system and implemented it in three l
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The Texas Technology Task Force is an external advisory board to the Texas Department of Transportation (TxDOT) that conducts technology discovery activities and delivers recommendations for advancing technology to prepare the future Texas transportation system. The Task Force is developing a Technology Utilization Plan that will serve as the fulcr
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The eco-approach and departure (EAD) application for signalized intersections has been proved to be environmentally efficient in a Connected and Automated Vehicles (CAVs) system. In the real-world traffic, the traffic-related information received from sensing or communication devices is highly uncertain due to the limited sensing range and varying
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Despite an abundant use of the term “Out of the loop” (OOTL) in the context of automated driving and human factors research, there is currently a lack of consensus on its precise definition, how it can be measured, and the practical implications of being in or out of the loop during automated driving. The main objective of this paper is to consider
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This study aims to enhance understanding of the impact of new and emerging technologies on travel behavior/demand for the state of Georgia, and, thus, potentially contribute to improving transportation planning and demand forecasting for Georgia residents. In this project, the research team designed and implemented a wide-ranging travel survey that
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The Remaking Cities Institute (RCI), Quaker Valley Council of Governments (QV-COG), and the Beaver County Council of Governments (BC-COG) are collectively working to answer how the integration of multi-municipal and multimodal policies of regional corridors will impact small towns and boroughs differently from urban and suburban corridors and wheth
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Automation is transforming mobility. Its integration across our transportation system has the power to enhance the mobility and independence of millions of Americans, especially older Americans and people with disabilities. Cooperative Driving Automation (CDA) supports and enables automated vehicles to cooperate through communication between vehicl
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The next decade will see a rapid increase in the prevalence of partial and conditional vehicle automation, specifically SAE Levels 2 and 3. These automated systems are designed for specific operational conditions, such as driving on mapped highways with clear lane markings, and, within these defined contexts, can control both the speed and the late
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This purpose of this report is to help the cities of Gresham, Oregon and Eugene, Oregon understand the potential impacts of new mobility technologies – with an emphasis on autonomous vehicles (AVs) – and prepare a policy response. While Gresham and Eugene are case studies, it provides communities of all sizes information on how new mobility service
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INDOT will soon be embarking on infrastructure planning to accommodate autonomous vehicles. This new technology affords the ability to impact economic value creation across the supply chain in Indiana, as well as foster economic development in Indiana to support these emerging technologies. This proposal will be a first cut towards exploring the de
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