COVERT: Cognitive Internet of Vulnerable Road Users in Traffic

The research team proposes a novel approach that investigates the direct incorporation of Vulnerable Road Users (VRUs) in the Vehicle-to-Everything (V2X) architecture, bridging bidirectional communication between VRUs and connected autonomous vehicles (CAVs) and leveraging cooperative sensing for forecasting VRUs’ intent and future motion trajectories. In particular, the team will investigate how data collected from neural and physiological sensors worn by the VRUs can be leveraged to predict their location, motion and movement intention. Such information when broadcasted to CAVs in real time will allow them to implement safe control strategies and facilitates coordinated road usage among all road agents.

• Record URL:
  https://ccat.umtri.umich.edu/research/u-m/covert-cognitive-internet-of-vulnerable-road-users-in-traffic/

Language

• English

Project

• Status: Active
• Funding: $100749
• Contract Numbers:

  69A3552348305

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

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

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109
• Project Managers:

  Stearns, Amy

  Bezzina, Debra

• Performing Organizations:

  University of Michigan, Ann Arbor

  Department of Civil and Environmental Engineering
  2350 Hayward
  Ann Arbor, MI  United States  48109-2125
• Principal Investigators:

  Kamat, Vineet

  Menassa, Carol

• Start Date: 20240901
• Expected Completion Date: 20250831
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Data collection; Mobile communication systems; Pedestrian detectors; Pedestrian safety; Sensors; Vulnerable road users
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01929562
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3552348305
• Files: UTC, RIP
• Created Date: Sep 5 2024 10:25AM