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Big data and Ai for sustainable and safe mobility of the future - Ministry of University and Research (MUR)

2024-02-06T14:51:05.916Z

Highlights: Big data and Ai for sustainable and safe mobility of the future - Ministry of University and Research (MUR). More is born in Florence, in the premises of the Santa Maria Novella station. The project, called 'Mobility holistic research' and lasting three years, brings together the University of Florence, the Italian State Railways and the European University Institute. Approximately eighty researchers from ten departments of the Florentine University, experts in mobility, transport and innovative technologies from Fs research are involved.


More is born in Florence, in the premises of the Santa Maria Novella station, a new laboratory to analyze mobility in a sustainable and safe way and define predictive models through Big data and artificial intelligence. (HANDLE)


More is born in Florence, in the premises of the Santa Maria Novella station, a new laboratory to analyze mobility in a sustainable and safe way and define predictive models through Big data and artificial intelligence.

The project, called 'Mobility holistic research' and lasting three years, brings together the University of Florence, the Italian State Railways and the European University Institute: approximately eighty researchers from ten departments of the Florentine University, experts in mobility, transport and innovative technologies from Fs research are involved centre, center for the development of studies and research on mobility and related issues.


    The structure is coordinated by Adriano Alessandrini, professor of Unifi, who makes up the steering committee of the laboratory together with Juan Montero, director of the transport area of ​​the Florence school of regulation of the IUE, and Mario Tartaglia, head of the Fs research centre.

In relating the experiences of the disciplines involved in the project, the laboratory aims to collect significant quantities of data from 'traditional' sources - interviews or sensors for monitoring traffic - and non-conventional ones, such as information provided by cell phones and smartphone apps on people's movements .

"The research structure - explains Alessandrini - will bring together professionals from different fields for the first time": the engineering and technological aspects will be examined "but also issues related to urban planning and the environment, in addition to the legal implications of innovation processes, without neglecting social motivations and economic ones that guide travel".

"Through the programming of new algorithms and artificial intelligence that integrates technical information with elements of a social nature, we will attempt to create a tool that not only offers an exhaustive overview of the behavior of commuters and travellers, but also allows us to develop predictive dynamics as in the case, for example , of the construction of a new attraction center in the city, such as a theatre, a gym or a school".



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Source: ansa

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