Autonomous Mobility-on-Demand Systems for Future Urban Mobility

Abstract

This chapter discusses the operational and economic aspects of autonomous mobility-ondemand (AMoD) systems, a transformative and rapidly developing mode of transportation wherein robotic, self-driving vehicles transport passengers in a given environment. Specifically, AMoD systems are addressed along three dimensions: (1) modeling, that is analytical models capturing salient dynamic and stochastic features of customer demand, (2) control, that is coordination algorithms for the vehicles aimed at throughput maximization, and (3) economic, that is fleet sizing and financial analyses for case studies of New York City and Singapore. Collectively, the models and methods presented in this chapter enable a rigorous assessment of the value of AMoD systems.