Počítání osob v rámci ITS systémů na základě analýzy WiFi provozu

Abstract

This thesis focuses on capturing and analyzing Wi-Fi traffic to estimate the number of individuals using MAC address filtering. Various programs are utilized to capture Wi-Fi packets around a monitoring station, and the collected traffic is later analyzed to determine the number of people present. Additionally, the research addresses the challenge of filtering out fake MAC addresses generated by devices, which can distort the accuracy of the estimation. This research contributes to the field of Wi-Fi traffic analysis and provides valuable knowledge and will be later used for improving crowd management in public integrated transport systems.