Analysis and Control of Autonomous Mobility-on-Demand Systems

Abstract

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.

To appear in Annual Review of Control, Robotics, and Autonomous Systems

References in corpus (3)

• A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers
• Game Theory to Study Interactions between Mobility Stakeholders
• Waymo Public Road Safety Performance Data

Cited by in corpus (3)

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• Mechanism Design Theory in Control Engineering: A Tutorial and Overview of Applications in Communication, Power Grid, Transportation, and Security Systems
• Generalized Wardrop Equilibrium for Charging Station Selection and Route Choice of Electric Vehicles in Joint Power Distribution and Transportation Networks