6 papers
Ant swarm functional control via stigmergic Reinforcement Learning agents
Alessio Pitteri, Andrea Guizzo, Laura Ferrarotti +2
In this work, we propose a novel framework for the functional controllability of the ant swarm model, a well-known and relevant model of collective behaviour. Our approach introduc…
Unifying points of interest taxonomies: mapping OpenStreetMap tags to the Foursquare category system
Lilou Soulas, Lorenzo Lucchini, Maurizio Napolitano +5
The heterogeneity of Point of Interest (POI) taxonomies is a persistent challenge for the integration of urban datasets and the development of location-based services. OpenStreetMa…
Scale-free Points-of-Interest Distribution in a City Emerging from Homogeneous Poissonian-point Processes
Eleonora Andreotti, Ulysse Marquis, Maurizio napolitano +1
Urban systems often exhibit scale-invariant properties, with power-law distributions observed in various spatial and temporal patterns of human behavior. A prominent example is the…
Predicting human cooperation: sensitizing drift-diffusion model to interaction and external stimuli
Lucila G. Alvarez-Zuzek, Laura Ferrarotti, Bruno Lepri +1
As humans perceive and actively engage with the world, we adjust our decisions in response to shifting group dynamics and are influenced by social interactions. This study aims to…
Towards Civic Digital Twins: Co-Design the Citizen-Centric Future of Bologna
Massimiliano Luca, Bruno Lepri, Riccardo Gallotti +3
We introduce Civic Digital Twin (CDT), an evolution of Urban Digital Twins designed to support a citizen-centric transformative approach to urban planning and governance. CDT is be…
Mixing Individual and Collective Behaviours to Predict Out-of-Routine Mobility
Sebastiano Bontorin, Simone Centellegher, Riccardo Gallotti +3
Predicting human displacements is crucial for addressing various societal challenges, including urban design, traffic congestion, epidemic management, and migration dynamics. While…