42 citations · 70 across the 20 of their papers we have counts for
23 papers
Observe, Share, or Predict? Disentangling Partner Information in Embodied Multi-Agent Collaboration
Adrián Szlatincsán, Filippo Ziliotto, Bruno Lepri +3
LLMs are used as high-level controllers for embodied agents, but it remains unclear whether they support collaborative reasoning, such as anticipating a collaborator's actions in r…
Deal Me Maybe: The Role of Emotions in Multi-Agent Negotiation
Massimiliano Luca, Apoorva Singh, Bruno Lepri
Negotiation is a demanding social task for LLM agents, requiring strategic reasoning, persuasion, and interpersonal adaptation. Yet existing benchmarks often treat agents as emotio…
Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All?
Filippo Ziliotto, Ciro Beneduce, Bruno Lepri +3
In the animal kingdom, mirror self-recognition is a canonical probe of higher-order cognition, emerging only in some species. We ask whether an analogous functional capability emer…
A City-Scale Dataset of Traffic Flows, Travel Times, and Urban Context
Riccardo Cappi, Massimiliano Luca, Pietro Fontolan +3
We present a multi-source traffic dataset derived from Automatic Vehicle Identification (AVI) recordings in Padua, Italy, spanning from February 2026 to August 2026. The dataset co…
TS-Mob: Social and Geographical-Aware Time Series Foundation-Model Framework for Human Mobility Prediction
Massimiliano Luca, Ciro Beneduce, Bruno Lepri
Short-term forecasting of aggregated human mobility flows supports urban planning, intelligent transportation systems, and emergency response, yet existing models often require sub…
AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario
Ciro Beneduce, Massimiliano Luca, Bruno Lepri
Diffusion-based text-to-image models are increasingly used for urban analysis and scenario generation, but their geographic knowledge and representational biases remain poorly unde…
pySpainMobility: Unlocking Spanish Open Mobility Data for Spatial Inequality Research
Ciro Beneduce, Tania Gullón Muñoz-Repiso, Bruno Lepri +1
Human mobility shapes access to resources, opportunities, and services, making movement data a powerful lens for studying spatial and social inequality. Yet despite the growing ava…
The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data
Massimiliano Luca, Ciro Beneduce, Bruno Lepri +1
With the wide and cross-domain adoption of Large Language Models, it becomes crucial to assess to which extent the statistical correlations in training data, which underlie their i…
Understanding Urban-Rural Disparities in Mobility Inefficiency for Colombia, Mexico, and India
Nandini Iyer, Massimiliano Luca, Riccardo Di Clemente
Rural and urban areas exhibit distinct mobility patterns, yet a systematic understanding of how these trends differ across regions and contexts remains underexplored. By using orig…
Multimodal Large Language Models Predict Urban Safety Perception but Encode Non-Neutral Demographic Priors
Ciro Beneduce, Bruno Lepri, Massimiliano Luca
Understanding how people perceive urban environments is essential for inclusive planning, yet conventional surveys are costly and difficult to scale. We investigate whether Multimo…
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…
Large Language Models are Zero-Shot Next Location Predictors
Ciro Beneduce, Bruno Lepri, Massimiliano Luca
Predicting the locations an individual will visit in the future is crucial for solving many societal issues like disease diffusion and reduction of pollution. However, next-locatio…
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…
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
Laura Ferrarotti, Massimiliano Luca, Gabriele Santin +9
Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist wi…
Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science
Massimiliano Luca, Gian Maria Campedelli, Simone Centellegher +2
Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summ…
Play&Go Corporate: An End-to-End Solution for Facilitating Urban Cyclability
Antonio Bucchiarone, Simone Bassanelli, Massimiliano Luca +5
Mobility plays a fundamental role in modern cities. How citizens experience the urban environment, access city core services, and participate in city life, strongly depends on its…
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets
Anna Nguyen, Antonio Longa, Massimiliano Luca +2
Anticipating audience reaction towards a certain piece of text is integral to several facets of society ranging from politics, research, and commercial industries. Sentiment analys…
Enhancing crowd flow prediction in various spatial and temporal granularities
Marco Cardia, Massimiliano Luca, Luca Pappalardo
Thanks to the diffusion of the Internet of Things, nowadays it is possible to sense human mobility almost in real time using unconventional methods (e.g., number of bikes in a bike…
Trajectory Test-Train Overlap in Next-Location Prediction Datasets
Massimiliano Luca, Luca Pappalardo, Bruno Lepri +1
Next-location prediction, consisting of forecasting a user's location given their historical trajectories, has important implications in several fields, such as urban planning, geo…
Generating Synthetic Mobility Networks with Generative Adversarial Networks
Giovanni Mauro, Massimiliano Luca, Antonio Longa +2
The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the inter…
Modeling International Mobility using Roaming Cell Phone Traces during COVID-19 Pandemic
Massimiliano Luca, Bruno Lepri, Enrique Frias-Martinez +1
Most of the studies related to human mobility are focused on intra-country mobility. However, there are many scenarios (e.g., spreading diseases, migration) in which timely data on…
Leveraging Mobile Phone Data for Migration Flows
Massimiliano Luca, Gianni Barlacchi, Nuria Oliver +1
Statistics on migration flows are often derived from census data, which suffer from intrinsic limitations, including costs and infrequent sampling. When censuses are used, there is…
A Survey on Deep Learning for Human Mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri +1
The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more. The prolifer…