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20232026
most citedBattery Electric Truck Infrastructure Co-design via Joint Optimization and Agent-based Simulation

1 citations · 3 across the 19 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

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

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…

math.OC2023

Concurrent Design Optimization of Powertrain Component Modules in a Family of Electric Vehicles

Maurizio Clemente, Mauro Salazar, Theo Hofman

We present a modeling and optimization framework to design powertrains for a family of electric vehicles, focusing on the concurrent sizing of their motors and batteries. Whilst ta…

eess.SY2023★ 1 cited

Joint Optimization of Charging Infrastructure Placement and Operational Schedules for a Fleet of Battery Electric Trucks

Juan Pablo Bertucci, Theo Hofman, Mauro Salazar

This paper examines the challenges and requirements for transitioning logistic distribution networks to electric fleets. To maintain their current operations, fleet operators need…

eess.SY2023

Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation

Fabio Paparella, Theo Hofman, Mauro Salazar

The advent of autonomous driving and electrification is enabling the deployment of Electric Autonomous Mobility-on-Demand (E-AMoD) systems, whereby electric autonomous vehicles pro…