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20182023
most citedTowards a Co-Design Framework for Future Mobility Systems

11 citations · 39 across the 26 of their papers we have counts for

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Showing 2023 · eess.SYShow all

5 papers · 2 filters

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…

eess.SY2023★ 1 cited

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…

eess.SY2023★ 1 cited

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…

eess.SY2023

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…

eess.SY2023★ 6 cited

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…