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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 341 - 360 of 864 results
  • Toward a Florida Automated Connected Electric and Shared ACES Transportation System Roadmap Phase I Summary
  • State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving A Survey
  • Managing Increasing Demand for Curb Space in the City of the Future
  • Future Connected and Automated Vehicle Adoption Will Likely Increase Car Dependence and Reduce Transit Use without Policy Intervention Policy Brief
  • Making Crosswalks Smarter Using Sensors and Learning Algorithms to Safeguard Heterogenous Road Users
  • A Rhode Trip Lessons for the Future of Mobility From the Little Roady Autonomous Microtransit Pilot
  • Using Automated Vehicle AV Technology to Smooth Traffic Flow and Reduce Greenhouse Gas Emissions
  • Connected Autonomous Vehicles Frequently Asked Questions
  • UAV Selection Methodology and Performance Evaluation to Support UAVEnabled Bridge Inspection
  • Exploratory Modeling and Analysis for Automated Vehicles in Utah
  • Dataset
  • Technology Landscape and Future Direction for Transportation Emissions Energy and Health
  • Lane Changing of Autonomous Vehicles in Mixed Traffic Environments A Reinforcement Learning Approach
  • Simulating the Effects of Shared Automated Vehicles and Benefits to LowIncome Communities in Los Angeles Policy Brief
  • Evaluation of Delivery Service in Rural Areas with CAV
  • Dataset Supporting Files
  • Dataset Supporting Files
  • Dataset
  • Dataset Supporting Files
  • How Can Automated Vehicles Increase Access to Marginalized Populations and Reduce Congestion Vehicle Miles Traveled and Greenhouse Gas Emissions A Case Study in the City of Los Angeles