In this talk I will discuss the operational and economic aspects of autonomous mobility-on-demand (AMoD) systems, a rapidly emerging mode of personal transportation wherein robotic, self-driving vehicles transport customers in a given environment. Specifically, I will discuss AMoD systems along three dimensions: (1) modeling -- analytical models capable of capturing the salient dynamic and stochastic features of customer demand, (2) control -- coordination algorithms for the vehicles aimed at throughput maximization, and (3) economic -- fleet sizing and financial analyses for case studies of New York City and Singapore. I will conclude the talk by presenting a number of directions for future research.
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