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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 847 results
  • Development of a Flexible Pavement Design Framework for Autonomous and Connected Trucks
  • Infrastructure Enhancements for CAV Navigation
  • CDF Analysis and Prediction Model for Air Resistance on Platooned Freight Trucks
  • Development of an AnalysisModelingSimulation AMS Framework for V2I and ConnectedAutomated Vehicle Environment
  • Quick Response New England Connected and Autonomous Vehicles
  • 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
  • A Framework for Automated Driving System Testable Cases and Scenarios
  • Radar Congestion Study
  • Transit Bus Automation Project Transferability of Automation Technologies Final Report
  • Optimal Variable Speed Limit Control for the Mixed Traffic Flows in a Connected and Autonomous Vehicle Environment
  • An Application of a Rank Ordered Probit Modeling Approach to Understanding Level of Interest in Autonomous Vehicles
  • Development of VehicletoInfrastructure Applications Program Fourth Annual Report
  • Connected Vehicle Pilots Phase 2 Interoperability Test Test Plan
  • Functional Safety Assessment of a Generic Electric Power Steering System With Active Steering and FourWheel Steering Features
  • Functional Safety Assessment of a Generic SteerbyWire Steering System With Active Steering and FourWheel Steering Features
  • Functional Safety Assessment of a Generic Automated Lane Centering System and Related Foundational Vehicle Systems
  • Investigation of the Role of Attitudinal Factors on the Adoption of Emerging Automated Vehicle and Vehicle Safety Technologies