Research Team: Junshan Zhang (lead) and Molly D’Agostino
UC Campus(es): UC Davis
Problem Statement: In the coming decades, advancements in connected and automated vehicles (CAVs) have the potential to transform communities and mobility. As these technologies progress, policymakers and practitioners will need tools and information to proactively design policies, actions, and practices that will avoid potential negative impacts and unintended consequences and facilitate sustainable and equitable outcomes.
Project Description: This pilot will focus on safe vehicle headway design for CAVs to protect against potential sensing errors. It leverages work from an existing pilot to pursue a more in-depth understanding of the impact of the sensing errors on the tradeoff between traffic throughput and safety.