Search Results for author: Fabio Paparella

Found 8 papers, 2 papers with code

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

no code implementations3 May 2024 Fabio Paparella, Pim Labee, Steven Wilkins, Theo Hofman, Soora Rasouli, Mauro Salazar

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 Vehicle-to-Grid (V2G) operations to enhance the fleet operator profitability.

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

no code implementations30 Mar 2024 Mauro Salazar, Sara Betancur Giraldo, Fabio Paparella, Leonardo Pedroso

Our results show that it is possible to reach an operation that is on average fully fair at the cost of a slight travel time increase compared to a minimum-travel-time solution.

Fairness

Ride-pooling Electric Autonomous Mobility-on-Demand: Joint Optimization of Operations and Fleet and Infrastructure Design

no code implementations11 Mar 2024 Fabio Paparella, Karni Chauhan, Luc Koenders, Theo Hofman, Mauro Salazar

Our results indicate that jointly optimizing the charging infrastructure placement allows to decrease overall energy consumption of the fleet and vehicle hours traveled by approximately 1% compared to an heuristic placement.

A Time-invariant Network Flow Model for Ride-pooling in Mobility-on-Demand Systems

1 code implementation10 Nov 2023 Fabio Paparella, Leonardo Pedroso, Theo Hofman, Mauro Salazar

The resulting problem structure remains identical to a standard network flow model, a linear problem, which can be solved in polynomial time for a given ride-pooling request assignment.

Congestion-aware Ride-pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems

1 code implementation6 Nov 2023 Fabio Paparella, Leonardo Pedroso, Theo Hofman, Mauro Salazar

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 providing on-demand mobility, and users headed in the same direction share the same vehicle for part of their journey.

Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation

no code implementations21 Sep 2023 Fabio Paparella, Theo Hofman, Mauro Salazar

To this end, this paper presents a framework to jointly optimize the fleet design in terms of battery capacity and number of vehicles, and the operational strategies of the E-AMoD system, with the aim of maximizing the operator's total profit.

Autonomous Driving

Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems

no code implementations30 May 2023 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, directly covering a portion of their energy consumption.

Autonomous Vehicles Management +1

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

no code implementations22 Nov 2022 Fabio Paparella, Karni Chauhan, Theo Hofman, Mauro Salazar

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

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