The prediction of human mobility can facilitate resolving many kinds of urban problems, such
as reducing traffic congestion, and promote commercial activities, such as targeted …

Recently, event organizers and researchers have advocated the development of novel
technologies supporting crowd control, notably for public events. This paper presents a …

IoT ecosystems consist of a range of smart devices that generated a plethora of Radio
Frequency (RF) transmissions. This provides an attractive opportunity to exploit already …

This study assessed the applicability of geolocation data provided by public Wi-Fi
infrastructures as information sources that can contribute to urban planning and …

WiFi-based passive methods are becoming a common tool to count, estimate, and/or locate
people. One area of applicability is the development of intelligent control system for traffic …

The article deals with the problems of voice data transmission and voice traffic control
methods. The analysis is conducted, as a result of which the main problems of voice traffic …

Measuring pedestrian dynamics using the signals sent from smartphones has become
popular. Notably, Wi-Fi-based systems are currently widely deployed. However, many such …

Purpose: The main purpose of this study was to examine the application of sensors and
sensor networks for detection of people crowds in developing cities. This paper discusses …

This paper presents an innovative vehicle monitoring system based on Wi-Fi sniffing devices
and real-time data processing using machine learning techniques. Our solution involves the …

Understanding pedestrian dynamics in crowded public spaces has shown to be important.
Nowadays, there are widely deployed sensing infrastructures that detect Wi-Fi signals …