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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 661 - 680 of 854 results
  • GDOT Roadmap for Driverless Vehicles
  • Connected and Automated Vehicles and Safety of Vulnerable Road Users A Systems Approach
    Supporting Files
  • Connected and Automated Vehicles and Safety of Vulnerable Road Users A Systems Approach Research Brief
  • CDF Analysis and Prediction Model for Air Resistance on Platooned Freight Trucks
  • Optimization of Lateral Position of Autonomous Trucks
  • Development of a Flexible Pavement Design Framework for Autonomous and Connected Trucks
  • Mitigating Oversaturation With Cooperative Automated Driving Systems  Applying Bundled Speed Harmonization Cooperative Adaptive Cruise Control and Cooperative Merging Applications to Managed Lane Facilities  fact sheet
  • Modeling Individuals Willingness to Share Trips With Strangers in an Autonomous Vehicle Future
  • Infrastructure Enhancements for CAV Navigation
  • Development of an AnalysisModelingSimulation AMS Framework for V2I and ConnectedAutomated Vehicle Environment
  • Quick Response New England Connected and Autonomous Vehicles
  • Preparing for the Future of Transportation Automated Vehicles 30
  • Northeast Autonomous and Connected Vehicle Summit Report
  • Quick Response New England Connected and Autonomous Vehicles
  • PreCrash Interactions between Pedestrians and Cyclists and Intelligent Vehicles
  • Driver Models for Both Human and Autonomous Vehicles
  • Transit Bus Automation Project Transferability of Automation Technologies Final Report
  • Radar Congestion Study
  • An Application of a Rank Ordered Probit Modeling Approach to Understanding Level of Interest in Autonomous Vehicles
  • Optimal Variable Speed Limit Control for the Mixed Traffic Flows in a Connected and Autonomous Vehicle Environment