activity
20202025
most citedAnalysis and Control of Autonomous Mobility-on-Demand Systems

106 citations · 223 across the 28 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.GT2025

Invariant Price of Anarchy: a Metric for Welfarist Traffic Control

Ilia Shilov, Mingjia He, Heinrich H. Nax +3

The Price of Anarchy (PoA) is a standard metric for quantifying inefficiency in socio-technical systems, widely used to guide policies like traffic tolling. Conventional PoA analys…

eess.SY2025

Hierarchical Strategic Decision-Making in Layered Mobility Systems

Mingjia He, Zhiyu He, Jan Ghadamian +3

Mobility systems are complex socio-technical environments influenced by multiple stakeholders with hierarchically interdependent decisions, rendering effective control and policy d…

eess.SY2025

Co-Investment with Payoff-Sharing Mechanism for Cooperative Decision-Making in Network Design Games

Mingjia He, Andrea Censi, Runyu Zhang +2

Network-based systems are inherently interconnected, with the design and performance of subnetworks being interdependent. However, the decisions of self-interested operators may le…

cs.AI2025

Test Automation for Interactive Scenarios via Promptable Traffic Simulation

Augusto Mondelli, Yueshan Li, Alessandro Zanardi +1

Autonomous vehicle (AV) planners must undergo rigorous evaluation before widespread deployment on public roads, particularly to assess their robustness against the uncertainty of h…

cs.GT2025

A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies

Ezzat Elokda, Andrea Censi, Emilio Frazzoli +2

Control systems will play a pivotal role in addressing societal-scale challenges as they drive the development of sustainable future smart cities. At the heart of these challenges…

cs.RO2025

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems

Xinling Li, Meshal Alharbi, Daniele Gammelli +7

Autonomous Mobility-on-Demand (AMoD) systems, powered by advances in robotics, control, and Machine Learning (ML), offer a promising paradigm for future urban transportation. AMoD…

cs.RO2025★ 11 cited

CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles

Dejan Milojevic, Gioele Zardini, Miriam Elser +2

This paper discusses the integration challenges and strategies for designing mobile robots, by focusing on the task-driven, optimal selection of hardware and software to balance sa…

eess.SY2025

Iterative VCG-based Mechanism Fosters Cooperation in Multi-Regional Network Design

Mingjia He, Yannik Werner, Andrea Censi +2

Transportation network design often involves multiple stakeholders with diverse priorities. We consider a system with a hierarchical multi-agent structure, featuring self-optimized…