Papers
7
Total Citations
778
H-Index
5
About
Rick Zhang is a pioneering researcher at the intersection of robotics, transportation systems, and control theory, with a focus on autonomous mobility-on-demand (AMoD) systems. His work has fundamentally shaped how we understand and manage fleets of self-driving vehicles operating in urban environments. Zhang's most influential contribution, "Control of Robotic Mobility-On-Demand Systems: A Queueing-Theoretical Perspective" (2015), has garnered over 364 citations and established a rigorous mathematical framework for modeling and controlling autonomous vehicle fleets, ensuring quality of service through intelligent rebalancing strategies. Building on this foundation, his 2016 paper on model predictive control of AMoD systems (152 citations) introduced optimization techniques for real-time vehicle scheduling and routing, while his 2018 work on routing in congested networks (152 citations) tackled the practical challenge of traffic congestion with novel coordination algorithms. Collectively, Zhang's research has provided the theoretical backbone and practical tools essential for deploying scalable, efficient autonomous transportation systems. His contributions have attracted substantial scholarly attention, cementing his reputation as a leading authority in the emerging field of robotic urban mobility.
Research Focus
Key Achievements
Top Papers
- 1
- 2Model predictive control of autonomous mobility-on-demand systems152 citations · 2016
- 3
- 4Models, algorithms, and evaluation for autonomous mobility-on-demand systems69 citations · 2015
- 5
- 6
- 7Autonomous Vehicle Routing in Congested Road Networks.2 citations · 2016