1 citations · 3 across the 9 of their papers we have counts for
9 papers
Geometric Scaling Laws for Axial Flux Permanent Magnet Motors in In-Wheel Powertrain Topologies
Olaf Borsboom, Arnab Bhadra, Mauro Salazar +1
In this paper, we present geometric scaling models for axial flux motors (AFMs) to be used for in-wheel powertrain design optimization purposes. We first present a vehicle and powe…
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…
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…
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…
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…