Analysis and Control of Autonomous Mobility-on-Demand Systems

TL;DR

This paper reviews the emerging field of autonomous mobility-on-demand systems, discussing modeling, control, and operational challenges, and highlighting future research directions for urban transportation solutions.

Contribution

It provides a comprehensive review of modeling methods, solution techniques, and performance metrics for autonomous mobility-on-demand systems, identifying key challenges and research opportunities.

Findings

Identification of problem settings for analysis and control

Review of modeling aspects including networks and demand

Analysis of solution methods and performance trade-offs

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.