Analysis of Call Detail Records of International Voice Traffic in Mobile Networks

A Crowd Monitoring Methodology based on the Analysis of the Electromagnetic Spectrum

“…In particular, the obtained correlation coefficients are reported in Fig. 6 and used in the linear regression model expressed by relation (2). Fig.…”

“…Other techniques make use of a radiofrequency identifier (RFID) tag (Weaver et al, 2013) or wearable dedicated electromagnetic sensors (Paine, 2008; Kulshrestha et al, 2020) that people must wear, so they are not suitable in a situation where individuals are not collaborative. Recently the great diffusion of mobile phones makes possible the development of methods to monitoring the crowd by using the signals emitted by phones (Heath et al, 1998;Hudec et al, 2005;Puscasiu et al, 2016), unfortunately, the mobile phone companies do not provide the information related to protecting the user's privacy, and a direct localization of the users is impossible (Aziz & Bestak, 2018; Pinelli et a limited portion of the electromagnetic spectrum, and to increase the user and maximize the channel number, the companies make use of time and frequency domain multiplexing methods that make the localization and estimation of user number quite complex. In this work, a compact, light, and portable system, that does not require specific infrastructures such as cables, mechanical supports, or dedicated computational resources is proposed.…”