Peer-to-peer ridesharing (P2P-RS) enables people to arrange one-time rides with their own private cars, without the involvement of professional drivers. It is a prominent collective intelligence application producing significant benefits both for individuals (reduced costs) and for the entire community (reduced pollution and traffic), as we showed in a recent publication where we proposed an online approximate solution algorithm for large-scale P2P-RS [Bistaffa et al., “A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers”, IEEE T-ITS].
Artemisa provides a high performance computing infrastructure that operates continuously thanks to its batch system.
At present, the facility is composed of two user-interface machines where users can develop and test their workflow and 23 machines where they can send their batch jobs. All the batch machines contain an NVIDIA GPU Volta V100 to support AI-oriented algorithms.