11 citations · 39 across the 26 of their papers we have counts for
7 papers · 1 filter
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…
Effective Scaling of High-Fidelity Electric Motor Models for Electric Powertrain Design Optimization
Olaf Borsboom, Martijn Lokker, Mauro Salazar +1
In general, electric motor design procedures for automotive applications go through expensive trial-and-error processes or use simplified models that linearly stretch the efficienc…
A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems
Jorn van Kampen, Mauro Salazar, Theo Hofman
This paper presents a modeling framework to optimize the two-dimensional placement of powertrain elements inside the vehicle, explicitly accounting for the rotation, relative place…
Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems
Fabio Paparella, Theo Hofman, Mauro Salazar
This paper studies mobility systems that incorporate a substantial solar energy component, generated not only on the ground, but also through solar roofs installed on vehicles, dir…
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…
Optimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints
Jorn van Kampen, Thomas Herrmann, Theo Hofman +1
This paper presents a bi-level optimization framework to compute the maximum-distance race strategies for a fully electric endurance race car, whilst accounting for the low-level v…