Big Data and Artificial Intelligence for human habitat management
The digitalisation process involves the exponential availability of Big Data, the focal point of the strategies to reorganise the socioeconomic structure of society and the major open questions concerning climate change, human health, and the availability of food, water and energy resources.
Nowadays data is managed by both large global cloud providers – which monitor citizen data through social media, location tracking and all services linked to cloud storage, such as email, financial transactions, relations between different services – and by public authorities (healthcare, environment, transport, regional, research). However, these two worlds are neither close nor integrated.
This project aims to generate value from the integration, overseen by the public system, of the Big Data generated on a continuous basis.
Examples include the distance between clinical research and the healthcare system, between weather research and agri-food production, between location tracking and transport systems and mobility. The goal is therefore to process society’s Big Data in an integrated way, defining research paths for some essential topics, such as: mobility management in large urban systems, the monitoring of pollution levels, the availability of food and energy resources, and the optimisation of energy consumption and harmful emissions.
ABD Smart Mobility, a possible use case
Definition of operating platforms for managing mobility in large urban systems. For example, the following platforms can be defined:
- cloud-based platform for managing traffic flow and the distribution of car parks;
- platform for managing environmental limited traffic zones, street pollution, and the reservation of parking spaces and recharging stations;
- cloud-based platforms for emergency mobility and the implementation of emergency lane;
- cloud-based platform for route optimisation and reserving smart parking spaces.