Kevin Spieser

American Institute of Aeronautics and Astronautics

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About

Kevin Spieser is a leading researcher in the modeling and optimization of autonomous mobility-on-demand (AMoD) systems, a transformative area of intelligent transportation. His most-cited work, the 2015 tutorial "Models, algorithms, and evaluation for autonomous mobility-on-demand systems" (69 citations), provides a foundational framework for understanding how self-driving vehicle fleets can be efficiently deployed. In this paper, Spieser systematically addresses AMoD systems across three critical dimensions—operational models, algorithmic control, and economic evaluation—offering a comprehensive blueprint for researchers and practitioners alike. His contributions have helped shape the theoretical underpinnings of fleet management, including rebalancing strategies and pricing mechanisms that ensure system viability. By bridging rigorous mathematical modeling with real-world implementation challenges, Spieser’s work has become a key reference for those exploring the future of urban mobility. His research continues to influence the design of scalable, autonomous transportation networks, making him a notable voice in the intersection of robotics, operations research, and smart city infrastructure.