Road Safety Report (only Italian version)
In recent years, the issue of road safety has become central to public debate, yet it often continues to rely on aggregated and retrospective interpretations. The collaboration between CNR and OCTO stems from the need to complement traditional statistics with direct observation of real driving behavior, made possible through telematics.
OCTO contributes technology, expertise, and large-scale analytical capabilities; CNR ensures scientific rigor, impartiality, and methodological robustness. This public–private collaboration model aims to generate evidence useful for institutions, local administrations, insurance companies, and public decision-makers.
The full report will provide a detailed interpretation of the temporal and territorial dynamics of risk, paving the way for prevention policies, urban planning, and insurance models increasingly driven by data.
Published on March 10, 2026
Edited by the Consiglio Nazionale delle Ricerche – Istituto di Scienza e Tecnologie dell’Informazione “Alessandro Faedo” (CNR-ISTI) and OCTO.
In particular, the scientific contribution was prepared by the KDD Lab (Knowledge Discovery and Data Mining Laboratory) of ISTI-CNR, specialized in the development and application of advanced data analysis methodologies for the study of complex phenomena.
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In recent years, the issue of road safety has become central to public debate, yet it often continues to rely on aggregated and retrospective interpretations. The collaboration between CNR and OCTO stems from the need to complement traditional statistics with direct observation of real driving behavior, made possible through telematics.
OCTO contributes technology, expertise, and large-scale analytical capabilities; CNR ensures scientific rigor, impartiality, and methodological robustness. This public–private collaboration model aims to generate evidence useful for institutions, local administrations, insurance companies, and public decision-makers.
The full report will provide a detailed interpretation of the temporal and territorial dynamics of risk, paving the way for prevention policies, urban planning, and insurance models increasingly driven by data.
Published on March 10, 2026
Edited by the Consiglio Nazionale delle Ricerche – Istituto di Scienza e Tecnologie dell’Informazione “Alessandro Faedo” (CNR-ISTI) and OCTO.
In particular, the scientific contribution was prepared by the KDD Lab (Knowledge Discovery and Data Mining Laboratory) of ISTI-CNR, specialized in the development and application of advanced data analysis methodologies for the study of complex phenomena.