Automated Lane Change and Robust Safety

Building on the researchers' prior work on lane keeping and lane changing, this collaborative research project aims to take a significant step forward towards developing innovative solutions for autonomous lane change maneuvers. This project aims to achieve three major objectives: (1) integrating reinforcement learning and (control) barrier functions to address safety-oriented constraints; (2) developing robustness analysis and robust redesign for connected and autonomous vehicles in the presence of uncertainties and time delay; (3) validating the proposed lane changing control algorithms with real-world trajectory data and SUMO testing under different environments in the presence of different vehicle mixes and driver uncertainties.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01843030
  • Record Type: Research project
  • Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
  • Contract Numbers: 69A3551747124
  • Files: UTC, RIP
  • Created Date: Apr 21 2022 11:44AM