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Autonomous Vehicles

rosaP Repository & Open Science Access Portal

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.

Showing 561 - 580 of 854 results
  • Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion
  • Dataset Supporting Files
  • Our New Mobility Future A US DOT Volpe Center Thought Leadership Series
  • Work Zone Data Exchange Workshop  Summary Report
  • Decentralized Autonomous Electric MobilityonDemand Services for Individuals With Physical and Cognitive Disabilities
  • Multilevel Impacts of Emerging Technologies on City Form and Development
  • Developing an Adaptive Strategy for Connected EcoDriving Under Uncertain Traffic and Signal Conditions
  • Incorporating Mixed Automated Vehicle Traffic in Capacity Analysis and System Planning Decisions
  • Optimization of Winter Maintenance Stations for Safe and Efficient Freight Transportation
  • 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
  • Market Acceptance of Autonomous Vehicles in Transportation Disadvantaged Areas Implications for Policy and Planning
  • Emerging Technologies and Cities Assessing the Impacts of New Mobility on Cities
  • Impact of Smart Phones Interaction Modality on Driving Performance for Conventional and Autonomous Vehicles
  • Stringless Paving Construction
  • Autonomous Vehicle Adoption Assessing Operational and Environmental Impacts
  • Dataset Supporting Files
  • Understanding the Adoption of and Education About New Auto Technologies Among Older Adults
  • Dataset Supporting Files
  • Pavement Life Comparison for Different Traffic Scenarios
  • Assessing Crash Risks of Evacuation Traffic A Simulationbased Approach