8 citations · 11 across the 5 of their papers we have counts for
5 papers
The impact of machine learning forecasting on strategic decision-making for Bike Sharing Systems
Enrico Angelelli, Andrea Mor, Carlotta Orsenigo +2
In this paper, machine learning techniques are used to forecast the difference between bike returns and withdrawals at each station of a bike sharing system. The forecasts are inte…
Enhancing Kernel Search with Pattern Recognition: the Single-Source Capacitated Facility Location Problem
Hannah Bakker, Gianfranco Guastaroba, Stefan Nickel +1
We introduce Pattern-based Kernel Search (PaKS), a two-phase matheuristic for the solution of the Single-Source Capacitated Facility Location Problem (SSCFLP). In the first phase,…
Incorporating time-dependent demand patterns in the optimal location of capacitated charging stations
Carlo Filippi, Gianfranco Guastaroba, Lorenzo Peirano +1
A massive use of electric vehicles is nowadays considered to be a key element of a sustainable transportation policy and the availability of charging stations is a crucial issue fo…
The Bi-objective Long-haul Transportation Problem on a Road Network
Claudia Archetti, Andrea Mor, Ola Jabali +2
In this paper we study a long-haul truck scheduling problem where a path has to be determined for a vehicle traveling from a specified origin to a specified destination. We conside…
Optimization models for fair horizontal collaboration in demand-responsive transportation
Enrico Angelelli, Valentina Morandi, Maria Grazia Speranza
The advances in information and communication technology are changing theway people move. Companies that offer demand-responsive transportation serviceshave the opportunity to redu…