Traffic Control based on CARMA Platform for Maximal Traffic Mobility and Safety

Traffic Control based on CARMA Platform for Maximal Traffic Mobility and Safety

Headshot of Xiaopeng Li. The link directs to their profile page
Xiaopeng Li
Headshot of David Noyce. The link directs to their profile page.
David Noyce
The University of Wisconsin-Madison Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

Xiaopeng Li, Professor of Civil and Environmental Engineering – University of Wisconsin-Madison
David Noyce, Arthur F. Hawnn Professor – University of Wisconsin-Madison
Executive Associate Dean of the College of Engineering – University of Wisconsin-Madison
Executive Director – Traffic Operations and Safety (TOPS) Laboratory
Executive Director – Wisconsin Driving Simulator Laboratory
Associate Director – Safety Research Using Simulation (SaferSIM) Center

Project Abstract:
Platooning technology is a promising driving technology for Connected Automated Vehicles (CAVs) that can alleviate real road traffic issues. One primary challenge to hinder the technology development is the trade-off between safety and mobility. In this project, we will enhance mobility and safety by developing digital infrastructure and optimizing platooning strategies for CAVs. Activities within the proposed project will include developing mathematical models for multi-objective optimization to enhance the mobility and safety of individual vehicles and platoons. Further, exploring Transportation System Management and Operations (TSMO) applications to reduce traffic congestion by developing digital infrastructure based on the CARMA platform. Finally, by employing various experiments to evaluate and validate how and to what extent the vehicle platooning strategy can help improve the comprehensive performance (e.g. mobility, safety, etc.) of CAVs. The project enables mobility applications that are not achievable by individual ADS-operated vehicles. It will eventually help the research community to come up with models with realistic performance to further understand the CAV impacts on traffic. Additionally, the findings serve as valuable reference points for transportation agencies, enabling them to make data-driven decisions concerning infrastructure development and traffic management strategies.

Institution(s): University of Wisconsin-Madison

Award Year: 2023

Research Focus: Mobility

Project Form(s):