1 code implementation • 9 Nov 2023 • Aaryan Singhal, Daniele Gammelli, Justin Luke, Karthik Gopalakrishnan, Dominik Helmreich, Marco Pavone
Operators of Electric Autonomous Mobility-on-Demand (E-AMoD) fleets need to make several real-time decisions such as matching available vehicles to ride requests, rebalancing idle vehicles to areas of high demand, and charging vehicles to ensure sufficient range.
1 code implementation • 16 May 2023 • Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
Optimization problems over dynamic networks have been extensively studied and widely used in the past decades to formulate numerous real-world problems.
2 code implementations • 28 Feb 2023 • Carolin Schmidt, Daniele Gammelli, Francisco Camara Pereira, Filipe Rodrigues
Autonomous Mobility-on-Demand (AMoD) systems are an evolving mode of transportation in which a centrally coordinated fleet of self-driving vehicles dynamically serves travel requests.
1 code implementation • 15 Feb 2022 • Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
Autonomous Mobility-on-Demand (AMoD) systems represent an attractive alternative to existing transportation paradigms, currently challenged by urbanization and increasing travel needs.
1 code implementation • 28 Jul 2021 • Daniele Gammelli, Yihua Wang, Dennis Prak, Filipe Rodrigues, Stefan Minner, Francisco Camara Pereira
Bike-sharing systems are a rapidly developing mode of transportation and provide an efficient alternative to passive, motorized personal mobility.
1 code implementation • 23 Apr 2021 • Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone
Autonomous mobility-on-demand (AMoD) systems represent a rapidly developing mode of transportation wherein travel requests are dynamically handled by a coordinated fleet of robotic, self-driving vehicles.
1 code implementation • 10 Sep 2020 • Daniele Gammelli, Kasper Pryds Rolsted, Dario Pacino, Filipe Rodrigues
When modelling censored observations, a typical approach in current regression methods is to use a censored-Gaussian (i. e. Tobit) model to describe the conditional output distribution.
1 code implementation • ICML Workshop INNF 2021 • Daniele Gammelli, Filipe Rodrigues
Mobility-on-demand (MoD) systems represent a rapidly developing mode of transportation wherein travel requests are dynamically handled by a coordinated fleet of vehicles.
1 code implementation • 21 Jan 2020 • Daniele Gammelli, Inon Peled, Filipe Rodrigues, Dario Pacino, Haci A. Kurtaran, Francisco C. Pereira
Transport demand is highly dependent on supply, especially for shared transport services where availability is often limited.