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20212024
most citedFair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality

2 citations · 6 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SY2024

Model Predictive Control Strategies for Electric Endurance Race Cars Accounting for Competitors Interactions

Jorn van Kampen, Mauro Moriggi, Francesco Braghin +1

This paper presents model predictive control strategies for battery electric endurance race cars accounting for interactions with the competitors. In particular, we devise an optim…

eess.SY2024

Ride-pooling Electric Autonomous Mobility-on-Demand: Joint Optimization of Operations and Fleet and Infrastructure Design

Fabio Paparella, Karni Chauhan, Luc Koenders +2

This paper presents a modeling and design optimization framework for an Electric Autonomous Mobility-on-Demand system that allows for ride-pooling, i.e., multiple users can be tran…

cs.GT20242 cited

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…

eess.SY2023

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…

eess.SY2023

Time-optimal Design and Control of Electric Race Cars Equipped with Multi-speed Transmissions

Camiel Cartignij, Mauro Salazar

This paper presents a framework to jointly optimize the design and control of an electric race car equipped with a multiple-gear transmission, specifically accounting for the discr…

eess.SY2023

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…