Smart Cities

Monitoring System Development and Complex Data Analysis for Advanced Integrated Applications

Project summary

Project Responsibles: Luciano Gamberini, DPG & HIT, University of Padova - Alberto Corò, Comune di Padova
Scientific Coordinator: A. Cenedese, DEI & HIT, University of Padova
Research Fellow: Marco Michielan, HIT, University of Padova
Partnership: Comune di Padova

“Smart Cities pursue sustainability, livability, and social equity through technological and design innovation” (MIT research group): with this aim in mind we believe that urban analytics is a key step to understand our space and to realize smart services.
Specifically designed cyber-physical systems are used in conjunction with standard monitoring stations to sense and provide multilevel, heterogeneous and pervasive information. This information is put in relation through the time and geo-localization of the data and the physical communication and transportation networks of the city, acting like a biological nervous system.
Data-driven analysis highlights the behaviors that emerge from the interplay of human related activities and the natural phenomena.

The Padova Smart City project has received funding from Comune di Padova.

Start Date:
February 2014

15 months

How to turn dumb data into smart services?
To this aim we start from sensors embedded in the environment and heterogeneous measurements to build stochastic and graphical models (e.g. weigthed graphs, Hidden Markov models) to describe phenomena. These are used:
in the analysis phase to allow the interpretation of the data, the definition of metrics and the generation of information
in the synthesis phase, to ease the decision process that define city policies
Three areas of investigation are considered:
Environmental monitoring (from pollution to public lighting)
Public service control (e.g. bike sharing)
Human related behavior analysis (e.g. traffic monitoring)

Contact Us:
If you are interested in the project and you want to be updated on our activities or if you would like to contribute to the workshops to be organized, you can contact us using the form below.

Public lighting: fault detection through variance analysis.
Bike sharing: transitional graphical model.