  Challenged by urbanization and increasing travel needs, existing
transportation systems need new mobility paradigms. In this article, we present
the emerging concept of autonomous mobility-on-demand, whereby centrally
orchestrated fleets of autonomous vehicles provide mobility service to
customers. We provide a comprehensive review of methods and tools to model and
solve problems related to autonomous mobility-on-demand systems. Specifically,
we first identify problem settings for their analysis and control, from both
operational and planning perspectives. We then review modeling aspects,
including transportation networks, transportation demand, congestion,
operational constraints, and interactions with existing infrastructure.
Thereafter, we provide a systematic analysis of existing solution methods and
performance metrics, highlighting trends and trade-offs. Finally, we present
various directions for further research.
