Leveraging Connected and Automated Vehicles for Participatory Traffic Control

Principal Investigator(s):

Yafeng Yin, Professor of Civil and Environmental Engineering – The University of Michigan
Henry Liu, Director – Center for Connected and Automated Transportation (CCAT)
Director – Mcity
Professor of Civil and Environmental Engineering – The University of Michigan
Research Professor – The University of Michigan Transportation Research Institute

Project Abstract:
This project aims to establish the theoretical foundation of proactive, participatory traffic control where connected and automated vehicles (CAVs) are used as mobile actuators to regulate traffic flow across a traffic network. We attempt to integrate traditional, “anonymous” physical controllers (e.g., traffic signals) in the transportation system with personalized, targeted control of CAVs to improve traffic system efficiency. The proposed investigation includes enabling CAVs to function as “traffic stream regulators” to regulate traffic stream to better manage signalized intersections, and behave as “travel demand distributors” to better distribute the traffic demand across time periods and transportation facilities to reduce traffic congestion. The proposed participatory control framework will be tested in Mcity or a signalized traffic network in the simulation. With the smart traffic corridor or network in the real world, it is also possible to test this framework in the real world.

Institution(s): University of Michigan Transportation Research Institute
University of Michigan – Ann Arbor

Award Year: 2021

Research Thrust(s): Control & Operations, Enabling Technology, Modeling & Implementation

Project Form(s):