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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 261 - 280 of 852 results
  • Development of ATMA Deployment Guidelines Considering Traffic and Safety Impacts
  • Safe and Efficient Ewayfinding SeeWay Assistive Navigation for the Visually Impaired
  • Development of an Automated Wheelchair Tiedown Restraint System
  • Truck Platooning Early Deployment Assessment Phase 2 Test and Evaluation Plan
  • Dataset
  • Improving Access and Equity via Shared Automated Mobility in US Public Transportation Systems
  • Anomaly Detection and String Stability Analysis in Connected Automated Vehicular Platoons
  • Dataset
  • Dataset
  • Development of an Automated Methodological Procedure To Improve the Identification of CurveRelated Crashes in the Crash Records Information System CRIS
  • Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems
  • Investigating the Contributing Factors to Willingness to Share Automated Vehicles with Gender Focus
  • Interaction of Familiarity Safety Perceptions and Willingness to Use Autonomous Vehicles in a Structural Equation Modeling Framework
  • Autonomous Delivery Vehicle as a Disruptive Technology How To Shape the Future With a Focus on Safety
  • Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles
  • Online Cooperative LaneChanging Model of Connected and Autonomous Vehicles
  • Impact of Connected and Autonomous Vehicles on Signalized Intersections With Transit Signal Priority
  • Evaluating and Comparing the Impact of Connected and Autonomous Vehicles on Conventional Intersections and Superstreets
  • RealTime Freeway Speed Prediction Based on Deep Learning in Connected and Autonomous Vehicles Environment
  • Pedestrian Behavior and Interaction With Autonomous Vehicles