7 citations · 22 across the 15 of their papers we have counts for
17 papers
Token Economy Design for Fair and Efficient Highway Congestion Management with Express Lanes
Leonardo Pedroso, Juan Pablo Bertucci, W. P. M. H. Heemels +1
We study the design of a token economy for highway lane allocation that aims to improve fairness without sacrificing traffic efficiency. Motivated by the San Mateo 101 Express Lane…
Consistent Distributed Cooperative Localization for Ultra Large-Scale Multi-agent Systems
Leonardo Pedroso, W. P. M. H. Heemels, Pedro Batista
Cooperative localization (CL) is fundamental in emerging multi-agent systems, where agents fuse local sensing data with exchanged information to estimate their own states. At a lar…
A Unified Family-optimal Solution to Covariance Intersection Problems with Semidefinite Programming
Leonardo Pedroso, W. P. M. H. Heemels, Pedro Batista
Covariance intersection (CI) methods provide a principled approach to fusing estimates with unknown cross-correlations by minimizing a worst-case measure of uncertainty that is con…
Token Economy for Fair and Efficient Dynamic Resource Allocation in Congestion Games
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
Self-interested behavior in sharing economies often leads to inefficient aggregate outcomes compared to a centrally coordinated allocation, ultimately harming users. Yet, centraliz…
Overlapping Covariance Intersection: Fusion with Partial Structural Knowledge of Correlation from Multiple Sources
Leonardo Pedroso, Pedro Batista, W. P. M. H. Heemels
Emerging large-scale engineering systems rely on distributed fusion for situational awareness, where agents combine noisy local sensor measurements with exchanged information to ob…
Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
We consider a class of continuous-time dynamic games involving a large number of players. Each player selects actions from a finite set and evolves through a finite set of states.…
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games -- Part II: Stability
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
We study a dynamic game with a large population of players who choose actions from a finite set in continuous time. Each player has a state in a finite state space that evolves sto…
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games -- Part I: Equilibria
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
We study a dynamic game with a large population of players who choose actions from a finite set in continuous time. Each player has a state in a finite state space that evolves sto…
Distributed Design of Ultra Large-Scale Control Systems: Progress, Challenges, and Prospects
Leonardo Pedroso, Pedro Batista, W. P. M. H. Heemels
The transition from large centralized complex control systems to distributed configurations that rely on a network of a very large number of interconnected simpler subsystems is on…
On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems
Mauro Salazar, Sara Betancur Giraldo, Fabio Paparella +1
Research on the operation of mobility systems so far has mostly focused on minimizing cost-centered metrics such as average travel time, distance driven, and operational costs. Whi…
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
When users access shared resources in a selfish manner, the resulting societal cost and perceived users' cost is often higher than what would result from a centrally coordinated op…
Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road Networks
Leonardo Pedroso, Pedro Batista, Markos Papageorgiou
To cope with uncertain traffic patterns and traffic models, traffic-responsive signal control strategies in the literature are designed to be robust to these uncertainties. These r…
A Time-invariant Network Flow Model for Ride-pooling in Mobility-on-Demand Systems
Fabio Paparella, Leonardo Pedroso, Theo Hofman +1
This paper presents a framework to incorporate ride-pooling from a mesoscopic point of view, within time-invariant network flow models of Mobility-on-Demand systems. The resulting…
Congestion-aware Ride-pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems
Fabio Paparella, Leonardo Pedroso, Theo Hofman +1
This paper presents a modeling and optimization framework to study congestion-aware ride-pooling Autonomous Mobility-on-Demand (AMoD) systems, whereby self-driving robotaxis are pr…
Urgency-aware Routing in Single Origin-destination Itineraries through Artificial Currencies
Leonardo Pedroso, W. P. M. H. Heemels, Mauro Salazar
Within mobility systems, the presence of self-interested users can lead to aggregate routing patterns that are far from the societal optimum which could be achieved by centrally co…
A Time-invariant Network Flow Model for Two-person Ride-pooling Mobility-on-Demand
Fabio Paparella, Leonardo Pedroso, Theo Hofman +1
This paper presents a time-invariant network flow model capturing two-person ride-pooling that can be integrated within design and planning frameworks for Mobility-on-Demand system…
Distributed decentralized receding horizon control for very large-scale networks with application to satellite mega-constellations
Leonardo Pedroso, Pedro Batista
The implementation feasibility of control algorithms over very large-scale networks calls for hard constraints regarding communication, computational, and memory requirements. In t…