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City Analytics

City Analytics

To better understand and manage the cities of the future

What is it?

City Analytics is a family of digital solutions, based on Big Data processing, that enables cities to view and manage the vast, ever-changing amount of available data and information in order to plan public services and optimise urban infrastructure according to the real needs of citizens. Analyses are based on anonymised and aggregated data from vehicles, connected infrastructure, maps, navigation and geolocation systems from mobile applications and Open Data..

The Advantages

City Analytics is the comprehensive solution that offers public administrations the tools they need to transform urban data into strategic decisions. Thanks to this innovative platform, PAs can

View
The data collected through interactive maps and graphs allow real-time monitoring of trends in urban services.
Manage
Real-time data based on detailed time series and constantly updated statistics.
Plan
Based on real demand for services, forecasting future needs and developing sustainable urban strategies.

How does it work?

People mobility
Vehicle traffic
Road surface quality

A function that makes it possible to view the distribution of presences in different areas of the city, study the origins and destinations of flows, and estimate the number of residents, commuters and tourists to optimise planning in areas such as

  • public transport;

  • tourism;

  • the positioning of infrastructure;

  • safety

  • targeted communication.

 

Real-time and historical data on the entire urban road network, divided between commercial and private vehicles, average speed data, and occurrence of extraordinary events. All to plan and monitor the transport of people and goods to:

  • identify critical points in traffic flows;

  • predict future behaviour based on historical data;

  • recognise heavy traffic conditions in real time and put the necessary measures in place.

 

Geolocalisation of potholes and bumps, detection of road surface irregularities and measurement of the International Roughness Index (IRI), which ranks the level of roughness of roads in order to support public administrations in the:

  • identification of road sections most in need of intervention;

  • cross-reference the data with traffic indices to define priority interventions;

  • improve the maps of satellite navigation systems.