106 citations · 290 across the 63 of their papers we have counts for
20 papers · 1 filter
Mean-Field Control of Adherence in Participation-Coupled Vehicle Rebalancing Systems
Avalpreet Singh Brar, Rong Su, Jaskaranveer Kaur +1
Human driver participation is a critical source of uncertainty in Mobility-on-Demand (MoD) rebalancing. Drivers follow platform recommendations probabilistically, and their willing…
Quantale-Enriched Co-Design: Toward a Framework for Quantitative Heterogeneous System Design
Hans Riess, Yujun Huang, Matthew Klawonn +2
Monotone co-design enables compositional engineering design by modeling components through feasibility relations between required resources and provided functionalities. However, i…
Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
Aditya Gahlawat, Ahmed Aboudonia, Sandeep Banik +5
Imitation learning (IL) enables autonomous behavior by learning from expert demonstrations. While more sample-efficient than comparative alternatives like reinforcement learning, I…
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…
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…
Wise Goose Chase: A Predictive Path Planning Algorithm for Dynamic Rebalancing in Ride-Hailing Systems
Avalpreet Singh Brar, Rong Su, Christos G. Cassandras +1
Traditional rebalancing methods in ride-hailing systems direct idle drivers to fixed destinations, overlooking the fact that ride allocations frequently occur while cruising. This…
Maximal Compatibility Matching for Preference-Aware Ride-Hailing Systems
Avalpreet Singh Brar, Rong Su, Jaskaranveer Kaur +2
This paper presents the Maximal Compatibility Matching (MCM) framework, a novel assignment strategy for ride-hailing systems that explicitly incorporates passenger comfort into the…
On Composable and Parametric Uncertainty in Systems Co-Design
Yujun Huang, Marius Furter, Gioele Zardini
Optimizing the design of complex systems requires navigating interdependent decisions, heterogeneous components, and multiple objectives. Our monotone theory of co-design offers a…
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…
Vehicle Rebalancing Under Adherence Uncertainty
Avalpreet Singh Brar, Rong Su, Christos G. Cassandras +3
Ride-hailing platforms frequently face spatiotemporal supply-demand imbalances caused by uneven passenger demand and decentralized driver decision-making. Existing vehicle rebalanc…
Co-investment with Payoff Sharing Benefit Operators and Users in Network Design
Mingjia He, Andrea Censi, Emilio Frazzoli +1
Network-based complex systems are inherently interconnected, with the design and performance of subnetworks being interdependent. However, the decisions of self-interested operator…
Integrated User Matching and Pricing in Round-Trip Car-Sharing
Avalpreet Singh Brar, Rong Su, Gioele Zardini +1
Traditional round-trip car rental systems mandate users to return vehicles to their point of origin, limiting the system adaptability to meet diverse mobility demands. This constra…
Reliability-aware Control of Power Converters in Mobility Applications
Amin Rezaeizadeh, Gioele Zardini, Emilio Frazzoli +1
This paper introduces an automatic control method designed to enhance the operation of electric vehicles, besides the speed tracking objectives, by including reliability and lifeti…
Task-driven Modular Co-design of Vehicle Control Systems
Gioele Zardini, Zelio Suter, Andrea Censi +1
When designing autonomous systems, we need to consider multiple trade-offs at various abstraction levels, and the choices of single (hardware and software) components need to be st…
Analysis and Control of Autonomous Mobility-on-Demand Systems
Gioele Zardini, Nicolas Lanzetti, Marco Pavone +1
Challenged by urbanization and increasing travel needs, existing transportation systems need new mobility paradigms. In this article, we present the emerging concept of autonomous…
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
Gioele Zardini, Andrea Censi, Emilio Frazzoli
Designing cyber-physical systems is a complex task which requires insights at multiple abstraction levels. The choices of single components are deeply interconnected and need to be…
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions
Gioele Zardini, Nicolas Lanzetti, Andrea Censi +2
The design of future mobility solutions and the design of the mobility systems they enable are closely coupled. Indeed, knowledge about the intended service of novel mobility solut…
A Compositional Sheaf-Theoretic Framework for Event-Based Systems (Extended Version)
Gioele Zardini, David I. Spivak, Andrea Censi +1
A compositional sheaf-theoretic framework for the modeling of complex event-based systems is presented. We show that event-based systems are machines, with inputs and outputs, and…
On the Co-Design of AV-Enabled Mobility Systems
Gioele Zardini, Nicolas Lanzetti, Mauro Salazar +3
The design of autonomous vehicles (AVs) and the design of AV-enabled mobility systems are closely coupled. Indeed, knowledge about the intended service of AVs would impact their de…
Towards a Co-Design Framework for Future Mobility Systems
Gioele Zardini, Nicolas Lanzetti, Mauro Salazar +3
The design of Autonomous Vehicles (AVs) and the design of AVs-enabled mobility systems are closely coupled. Indeed, knowledge about the intended service of AVs would impact their d…