W i D a t a
Contact usinfo@widata.cloud

PMA Solution

Discover how crowds make use of anthropic space transparently and anonymously.

Demo Dashboard+
User: demoservices1982
Password: fx19codex

The People Mobility Analytics (PMA) solution leverages observation of the radio fingerprint emitted by personal digital devices like smartphones. Through that digital trace, it is possible to understand how people move, what attracts their attention and how they interact with the surrounding environment.

For this reason, WiData has developed a device that acquires the signal which is then processed in the cloud to make some metrics and indicators available. Some of these are affluence, crowdedness, time of returns or permanence for monitored areas. This information is quite interesting for public administrations and corporations which want to better understand how people move in urban areas.

Service Description

PMA is an integrated digital system for collecting, analyzing and displaying data, even in real-time, offering an overview of people numbers and movement in different contexts. Specifically, it allows monitoring the people flow within the station's coverage perimeter installed in the area of interest. The system is based on anonymously monitoring the traffic generated by the peoples' devices equipped with WiFi and Bluetooth interfaces, e.g. smartphones and smartwatches.

The raw data, collected by specific IoT sensors developed by WiData, are analyzed using information extraction algorithms. Subsequently, the results are presented to the user by means of a web interface after authentication. The following statistics are made available to the user:

Mobility

Public transports

Possibility of accurately highlighting the characteristics of the movements in terms of absolute number, length and travel time, systematicity, origin and destination matrices.

Public
Administrastions

Anthropic spaces

Different metrics to measure the evolution of crowding over time using line graphs for various time windows, population density over time with visualization via animated heatmap, number of people divided by the time spent in a certain area.

A strong differentiator is short-term usage campaigns solution, such as counting and monitoring attendance at a fair or event. The second element of differentiation is that our solutions follow the privacy by design principle, which means that all information is anonymized during the acquisition phase, onboard the device.

Scientific Publications

WiData is a spin-off by University of Cagliari (in approval) and has created the People Mobility Analytics solution through a process of technology transfer, undertaken in the Department of Electrical and Electronic Engineering, with scientific publications of international importance.

Crozia

Splitec 2019

PMA: a solution for people mobility monitoring and analysis based on WiFi probes

Further details+
Internation Journal

Journal of Cleaner Production

PMA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes

Further details+
Virtual conference

CAMAD 2020

WiFi Probes sniffing: an Artificial Intelligence based approach for MAC addresses de-randomization

Further details+

Application domains

The PMA solution is highly versatile and easily lends itself to the application domains of Mobility, Marketing, Public Administration and Environmental Monitoring.

Mobility

Enviroment

Public Administration

Marketing

  • PMA Brochure
    2 MB

Candidate for

Competition among the best innovative solutions of 2019

Press

How Wi-Fi can help monitor city life while respecting privacy.

A new digital system shows where cities are busiest and could help authorities improve public transport and policing.

Journal of Cleaner Production

Elsevier

Three groups will represent Sardinia at the National Innovation Award.

PMA - People Mobility Analytics by Luigi Atzori, Raimondo Cossu, Enrico Ferrara, Paola Manchia, Marco Uras, who have invented a service for the data collection on the localization and tracking of mobile devices through IoT (Internet of Things) sensors in Smart Cities contexts.

Unione Sarda

Giampiero Marras