Understanding Risks and Opportunities for Ramp Metering Control in a Mixed-Autonomy Future

Principal Investigator(s):

Raphael Stern, Assistant Professor of Civil, Environmental, and Geo-Engineering – University of Minnesota

Project Abstract:
Vehicle automation may change traffic flow dynamics. This will also impact the control of traffic flow via infrastructure-based systems such as ramp metering control. In this work we investigated the impact that different levels of automation and connectivity will have on ramp metering control, and proposed modifications to existing ramp metering algorithms to improve their performance under different automation scenarios. We find that low-level automation such as adaptive cruise control may decrease mainline throughput by up to 58% on average and increase travel time by 61%. However, full connectivity and automation may decrease travel time by up to 40%. Based on these potential impacts, modifications to the ramp metering algorithm settings were developed for each of the seven automation scenarios. These modifications are shown to improve operations in each scenario.

Institution(s): University of Minnesota

Award Year: 2024

Research Focus: Safety, Mobility

Project Form(s):