activity
20222024
most citedA Time-invariant Network Flow Model for Two-person Ride-pooling Mobility-on-Demand

3 citations · 4 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2024

On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems

Mauro Salazar, Sara Betancur Giraldo, Fabio Paparella +1

Research on the operation of mobility systems so far has mostly focused on minimizing cost-centered metrics such as average travel time, distance driven, and operational costs. Whi…

eess.SY2024★ 1 cited

Multi-objective Optimal Trade-off Between V2G Activities and Battery Degradation in Electric Mobility-as-a-Service Systems

Fabio Paparella, Pim Labee, Steven Wilkins +3

This paper presents optimization models for electric Mobility-as-a-Service systems, whereby electric vehicles not only provide on-demand mobility, but also perform charging and Veh…

eess.SY2024

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…

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…

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

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…

math.OC2023★ 3 cited

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…

eess.SY2022

Electric Autonomous Mobility-on-Demand: Joint Optimization of Routing and Charging Infrastructure Siting

Fabio Paparella, Karni Chauhan, Theo Hofman +1

The advent of vehicle autonomy, connectivity and electric powertrains is expected to enable the deployment of Autonomous Mobility-on-Demand systems. Crucially, the routing and char…