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Autonomous Vehicles

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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.

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Showing 561 - 580 of 847 results
  • Multilevel Impacts of Emerging Technologies on City Form and Development
    Multilevel Impacts of Emerging Technologies on City Form and Development
    Howell, Amanda ;
    Tan, Huijun
    2020-01-01 | PDF
    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 ...
  • Emerging Technologies and Cities Assessing the Impacts of New Mobility on Cities
    Emerging Technologies and Cities: Assessing the Impacts of New Mobility on Cities
    Lewis, Rebecca ;
    Steckler, Rebecca
    2020-01-01 | PDF
    Advances in emerging technologies – such as autonomous vehicles (AVs), e-commerce, and the sharing economy – are having profound effects not only on how we live, move, and spend our time in cities, but also on urban form and development itself. These new technologies are changing how people and goods move around a city and are beginning to have sub ...
  • Decentralized Autonomous Electric MobilityonDemand Services for Individuals With Physical and Cognitive Disabilities
    Decentralized Autonomous Electric Mobility-on-Demand Services for Individuals With Physical and Cognitive Disabilities
    Belakaria, Syrine ;
    Ammous, Mustafa
    2020-01-01 | PDF
    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 ...
  • Drivers Interactions with Advanced Vehicles in Various Traffic Mixes and Flows Connected and Autonomous Vehicles CAVs Electric Vehicles EVs V2X Trucks Bicycles and Pedestrians Phase I Driver Behavior Study and Parameters Estimation
    Driver's Interactions with Advanced Vehicles in Various Traffic Mixes and Flows (Connected and Autonomous Vehicles (CAVs), Electric Vehicles (EVs), V2X, Trucks, Bicycles and Pedestrians) - Phase I: Driver Behavior Study and Parameters Estimation
    Jeihani, Mansoureh ;
    Banerjee, Snehanshu
    2020-01-01 | PDF
    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 ...
  • Developing an Adaptive Strategy for Connected EcoDriving Under Uncertain Traffic and Signal Conditions
    Developing an Adaptive Strategy for Connected Eco-Driving Under Uncertain Traffic and Signal Conditions
    Hao, Peng ;
    Wei, Zhensong
    2020-01-01 | PDF
    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 ...
  • Incorporating Mixed Automated Vehicle Traffic in Capacity Analysis and System Planning Decisions
    Incorporating Mixed Automated Vehicle Traffic in Capacity Analysis and System Planning Decisions
    Soleimaniamiri, Saeid ;
    Shi, Xiaowei
    2020-01-01 | PDF
    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 ...
  • Impact of Smart Phones Interaction Modality on Driving Performance for Conventional and Autonomous Vehicles
    Impact of Smart Phones’ Interaction Modality on Driving Performance for Conventional and Autonomous Vehicles
    Favaro, Francesca M
    ORCID ICON IMG
    2020-01-01 | PDF
    Distracted driving related to cell phone usage ranks among the top three causes of fatal crashes on the road. Although forty-eight of 50 U.S. states allow the use of personal devices if operated hands-free and secured in the vehicle, scientific studies have yet to quantify the safety improvement presumed to be introduced by voice-to-text interactio ...
  • Market Acceptance of Autonomous Vehicles in Transportation Disadvantaged Areas Implications for Policy and Planning
    Market Acceptance of Autonomous Vehicles in Transportation Disadvantaged Areas: Implications for Policy and Planning
    Losada-Rojas, Lisa Lorena ;
    Gkartzonikas, Christos
    2020-01-01 | PDF
    Research Motivation and Objectives: • The emergence of shared autonomous vehicles (SAVs) is expected to alter transportation costs and patterns, thus affecting accessibility and mobility • Assess the socio-economic implications related to SAVs, such as access to opportunities and flexible and affordable mobility.
  • Autonomous Vehicle Adoption Assessing Operational and Environmental Impacts
    Autonomous Vehicle Adoption: Assessing Operational and Environmental Impacts
    Hicks, Andrea ;
    Ahn, Soyoung
    2019-12-31 | PDF
    Autonomous vehicles represent an evolution in transportation technology and the system of transportation itself. The vehicles will change how current transportation infrastructure is utilized, along with how people use transportation, and the environmental impacts of the transportation system. App based autonomous taxis are considered, using a stat ...
  • Exploring the Role of Attitude in the Acceptance of Self-Driving Shuttles Dataset
    Xing, Yan ;
    Handy, Susan L
    2019-12-23 | ZIP
    Self-driving vehicles, as a revolution in mobility, are emerging and developing rapidly. However, public attitudes toward this new unproven technology are still uncertain. Given the significant influence of attitude toward a new technology on the intention to use it, the question arises as to why some people are in favor of this technology whereas ...
    Dataset Supporting Files
  • Understanding the Adoption of and Education About New Auto Technologies Among Older Adults
    Understanding the Adoption of and Education About New Auto Technologies Among Older Adults
    D'Ambrosio, Lisa
    2019-12-15 | PDF
    The rate of deployment of new automotive technologies into vehicles has seemingly increased over the past decade. Drivers face an array of technologies in new vehicles today that provide the driver with increased automation and direct support for the driving task. Unlike advances in safety around air bags or electronic stability control, or changes ...
  • Review of Simulation Frameworks and Standards Related to Driving Scenarios
    Review of Simulation Frameworks and Standards Related to Driving Scenarios
    Schnelle, Scott C. ;
    Salaani, M. Kamel
    2019-12-01 | PDF
    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 ...
  • A Machine Vision Approach for Estimating Motion Discomfort in Simulators and in SelfDriving
    A Machine Vision Approach for Estimating Motion Discomfort in Simulators and in Self-Driving
    Lee, John D. ;
    Alsaid, Areen
    2019-12-01 | PDF
    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 ...
  • Standardized Performance Evaluation of Vehicles with Automated Capabilities
    Standardized Performance Evaluation of Vehicles with Automated Capabilities
    Basantis, Alexis ;
    Harwood, Leslie
    2019-12-01 | PDF
    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 ...
  • Assessing Crash Risks of Evacuation Traffic A Simulationbased Approach
    Assessing Crash Risks of Evacuation Traffic: A Simulation-based Approach
    Hasan, Samiul ;
    Rahman, Rezaur
    2019-12-01 | PDF
    Recently, hurricanes have caused major concern for transportation agencies and policymakers attempting to find better evacuation strategies. This was especially evident after Hurricane Irma, which forced about 6.5 million Floridians to evacuate the state. This mass evacuation caused a significant amount of delays on state highways due to heavy cong ...
  • Assessing Crash Risks of Evacuation Traffic: A Simulation-based Approach [supporting datasets]
    Hasan, Samiul ;
    Rahman, Rezaur
    2019-12-01 | ZIP
    Recently, hurricanes have caused major concern for transportation agencies and policymakers attempting to find better evacuation strategies. This was especially evident after Hurricane Irma, which forced about 6.5 million Floridians to evacuate the state. This mass evacuation caused a significant amount of delays on state highways due to heavy cong ...
    Dataset Supporting Files
  • A Machine Vision Approach for Estimating Motion Discomfort in Simulators and in Self-Driving [supporting datasets]
    Lee, John D. ;
    Alsaid, Areen
    2019-12-01 | CSV
    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 ...
    Dataset Supporting Files
  • User Perceptions of Safety and Security A Framework for a Transition to ElectricSharedAutomated Vehicles
    User Perceptions of Safety and Security: A Framework for a Transition to Electric-Shared-Automated Vehicles
    Kurani, Kenneth S.
    ORCID ICON IMG
    2019-12-01 | PDF
    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 ...
  • Machine Learning Human Factors and Security Analysis for the Remote Command of Driving An MCity Pilot
    Machine Learning, Human Factors and Security Analysis for the Remote Command of Driving: An MCity Pilot
    Lasecki, Walter S ;
    Chung, John J Y
    2019-12-01 | PDF
    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, ...
  • Pavement Life Comparison for Different Traffic Scenarios
    Pavement Life Comparison for Different Traffic Scenarios
    Zhou, Fujie ;
    Hu, Sheng
    2019-12-01 | PDF
    Because most automated vehicles (AVs) are programmed to follow a set path and maintain a lateral position in the center of the lane, over time significant pavement rutting will occur. This study directly measured AV lateral wandering patterns. It was found that the wandering patterns of both AVs and human-driven vehicles could be modeled with a nor ...
561 - 580 / 847