Publications

Benoît Matet, Etienne Côme, Angelo Furno, Sebastian Hörl, Latifa Oukhellou. Use of Origin-Destination data for calibration and spatialization of synthetic travel demand. hEART'23. 11th Symposium of the European Association for Research in Transportation, Sep 2023, Zurich (CH), Switzerland. ⟨hal-04201484⟩.

Benoit Matet, Angelo Furno, Marco Fiore, Etienne Côme, Latifa Oukhellou. Adaptative generalisation over a value hierarchy for the k -anonymisation of Origin–Destination matrices. Transportation research. Part C, Emerging technologies, 2023, 154, pp.104236. ⟨10.1016/j.trc.2023.104236⟩. ⟨hal-04302102⟩.

Angelo Furno. Data-driven Approaches for Enhancing Resilience in Large-scale Transport Networks: A journey through data analysis, traffic modelling, complex networks and flexible software architectures for resilient and sustainable cities. Computer Science [cs]. ENTPE, University Claude Bernard Lyon 1 - HDR Thesis, 2023. ⟨tel-04462782⟩.

Benoît Matet, Etienne Come, Furno Angelo, Loïc Bonnetain, Latifa Oukhellou, et al.. A lightweight approach for origin-destination matrix anonymization. ESANN 2021, The 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2021, Bruges, Belgium. pp 487-492, ⟨10.14428/esann/2021.ES2021-56⟩. ⟨hal-03922211⟩.