Luca Crociani got his PhD in computer science in 2016. His main research interests are on Artificial Intelligence and Modelling and Simulation of Complex Systems. The research is mainly applied to urban transport studies, with particular focus to the study of pedestrian traffic. He is now a Post-Doctoral researcher at the Department of Computer Science, Systems and Communication (D.I.S.Co.) of the University of Milano-Bicocca, working to a project dedicated to multi–scale modeling of urban transportation systems using AI and Machine Learning techniques. The objective is to provide an efficient simulation system based on the multi–agent paradigm for the simulation of complex traffic dynamics at a metropolitan scale.


  • Crociani, L., & Lämmel, G. (2016). Multidestination Pedestrian Flows in Equilibrium: A Cellular Automaton-Based Approach. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 31(6), 432-448. Dettaglio
  • Crociani, L., Vizzari, G., Yanagisawa, D., Nishinari, K., & Bandini, S. (2016). Route choice in pedestrian simulation: Design and evaluation of a model based on empirical observations. INTELLIGENZA ARTIFICIALE, 10(2), 163-182. Dettaglio
  • Crociani, L., Zeng, Y., Vizzari, G., & Bandini, S. (2018). Shape Matters: Modelling, Calibrating & Validating Pedestrian Movement Considering Groups. SIMULATION MODELING PRACTICE AND THEORY. Dettaglio
  • Bandini, S., Crociani, L., & Vizzari, G. (2017). An approach for managing heterogeneous speed profiles in cellular automata pedestrian models. JOURNAL OF CELLULAR AUTOMATA, 12(5), 401-421. Dettaglio
  • Crociani, L., Lämmel, G., & Vizzari, G. (2016). Multi-scale simulation for crowd management: A case study in an Urban scenario. In N. Osman, & C. Sierra (a cura di), Autonomous Agents and Multiagent Systems - AAMAS 2016 Workshops, Best Papers, Singapore, Singapore, May 9-10, 2016, Revised Selected Papers (pp. 147-162). Springer Verlag. Dettaglio