COVERT: Cognitive Internet of Vulnerable Road Users in Traffic

Center for Connected and Automated Transportation/Research/Research from the University of Michigan/COVERT: Cognitive Internet of Vulnerable Road Users in Traffic

COVERT: Cognitive Internet of Vulnerable Road Users in Traffic

In Progress
Headshot of Carol Menassa. The link directs to their bio page.
Carol Menassa
Headshot of Vineet Kamat. The link directs to their bio page.
Vineet Kamat
The University of Michigan Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

Carol Menassa, John L. Tishman CM Faculty Scholar – University of Michigan
Professor of Civil and Environmental Engineering – University of Michigan
Vineet Kamat, John L. Tishman Family Profesor – University of Michigan
Professor of Civil and Environmental Engineering – University of Michigan

Project Abstract:
We propose 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, we 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 facilitate coordinated road usage among all road agents.

Two sketches of the COVERT system with the proposed concept and expected outcome
Proposed VRU integration into V2X architecture for direct cooperative sensing

Institution(s): University of Michigan – Ann Arbor

Award Year: 2024

Research Focus: Safety, Mobility

Project Form(s):

Project Information Form
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