Challenges and advanced technologies for crowd mobility monitoring: a 5G/6G approach
Wednesday, 5 June 2024, 16:00-17:30, Room Gorilla Room 4
Session Chair:
- Luigi Atzori (Univ. of Cagliari, IT)
- Lucia Pintor (CNIT, IT)
The knowledge of how people move in urban areas is important for effectively deploying many city services, such as planning and monitoring transport mobility services, managing security procedures during crowded public events, and designing new public spaces. In the last decade, several technologies have been exploited to collect relevant data to get key insights on the number of people that gather in different points of interest, the amount of time the people spend there, and how frequently people return. Some of the key technologies are radars, lidars, cameras, Wi-Fi sniffers, 5G/6G signal analysis, CDRs, and crowdsourcing applications. 5G and 6G technologies are of paramount importance in this respect. From one side, the analysis of the signal and data collected by relevant networks can be used to estimate the number of people in an anonymous way; from another side, the relevant edge infrastructure can significantly support the processing and storage of a conspicuous amount of data that is generated by these sensors and that especially for anonymous purposes should be processed at the edge of the network. In this session, a special focus is given to turning personal mobile devices into tools for measuring human presence due to the widespread use of mobile devices, including tablets and smartphones, which created new opportunities for collecting comprehensive data on individual movements within cities while preserving their anonymity. During this special session, the results of a challenge organised by the University of Cagliari in this area will also be announced. This challenge is focused on the results of proposed people counting algorithms tested on a provided sniffing dataset.
More details about the challenge are available at: https://sites.unica.it/net4u/confront-challenge-on-wifi-frame-fingerprinting-for-people-counting-and-trackingconfront/
Programme
The session is composed of a keynote part and a panel part. The speakers of the keynotes will describe their work about advanced technologies for crowd mobility monitoring related to the project MOST. The panel is dedicated to the CONFRONT challenge organised by the University of Cagliari. The aim of this challenge is to bring together teams of different institutions and nationalities working on crowd monitoring to find synergies and perspectives for collaboration. The session will be chaired by Luigi Atzori (University of Cagliari, Italy) and Lucia Pintor (CNIT, Italy).
MOST keynote (50 minutes):
In the first part of the session the speakers related to the MOST project will describe their work about advanced technologies for crowd mobility monitoring. Authors will have 12 minutes to present their papers and 3 minutes to answer the questions.
- Luigi Atzori (University of Cagliari, Italy) – Opening (5 minutes)
- Giovanni Grieco (Polytechnic of Bari, Italy) – Unveiling Urban Dynamics: Leveraging Passive Sniffing for Smart Mobility Insights (15 minutes)
- Francesca Marcello (University of Cagliari, Italy) – Estimating Urban Mobility: An LSTM Approach for People Counting via WiFi Channel State Information (15 minutes)
- Marco Fabris (University of Padua, Italy) – Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques leveraging Network Observability (15 minutes)
CONFRONT panel (40m):
In the second part of the session, Lucia Pintor (CNIT, Italy) will introduce the challenge organized by the University of Cagliari to reunite authors from different countries working on people counting through the analysis of sniffed management messages.
Panelists will have 25 minutes to discuss their work and 10 minutes to answer the questions from the audience.
Papers and speakers related to the panel:
- Abhishek Mishra (INRIA, France) – Counting Wi-Fi devices with anonymized MACs
- Riccardo Rusca (Polytechnic of Turin, Italy) – ARGO – Ai-driven framewoRk for countinG peOple
- Grega Morano (Jožef Stefan Institute, Slovenia) – Validation of Solution for People Tracking and Counting using WiFi Network Messages
Luigi Atzori (University of Cagliari, Italy) will conclude the session in the remaining time, presenting the future directions and collaborations established during this session.
Related links:
MOST project – https://www.centronazionalemost.it/eg/
CONFRONT challenge – https://sites.unica.it/net4u/confront-challenge-on-wifi-frame-fingerprinting-for-people-counting-and-trackingconfront/
