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.

• Record URL:
  https://c2smart.engineering.nyu.edu/automated-lane-change-and-robust-safety/

Language

• English

Project

• Status: Completed
• Funding: $114133
• Contract Numbers:

  69A3551747124

• Sponsor Organizations:

  New York University Tandon School of Engineering

  6 Metrotech Center
  Brooklyn, NY  United States  11201

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Performing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Principal Investigators:

  Jiang, Zhong-Ping

  Ozbay, Kaan

• Start Date: 20220301
• Expected Completion Date: 20230331
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Driver support systems; Lane changing; Machine learning; Traffic safety; Uncertainty; Vehicle mix
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

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 22 2022 4:13PM