3 citations · 4 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…