Learning-Guided Optimization for Intelligent Mobility Systems ABSTRACT Efficient and reliable mobility systems are essential to modern-day society, with broad impacts ranging from day-to-day commuting, public transportation, emergency response to last-mile package delivery and freight logistics. Autonomous vehicles have the potential to improve mobility efficiency and convenience but also raise questions about reliability and feasibility of deployment. The first contribution of this thesis is a set of novel, principled control-theoretical analyses that provide strong stability and reliability guarantees for autonomous vehicles…