Passenger counting in a crowded environment is not an easy task; therefore Public Transport stakeholders deploy a range of techniques to provide technology-based solutions. Traditional systems based on infrared and video cameras are expensive, required high installation and maintenance costs and they are not 100% reliable. Then alternative “estimation techniques” can now be considered. Generally, the system utilises wireless devices to collect data and uses a web framework to collate and analyse it. Applications with prediction algorithms and visualisations have been developed. This is made possible by leveraging distributed monitoring systems, like the connected mobile devices - smartphones, Wi-Fi networks, Bluetooth-enabled beacons, etc. (Aro, 2014). For example, Aro (2014) explains how smartphones, associated with a network, send signals to connect to an access point with a better signal strength. Then using 3G/4G Wi-Fi access points as sensors to sense the smartphones that are nearby, enables the collection of smartphone data or pings as real-time public data, then sending them to a cloud-based system. In the last years, low-cost computing technologies for building devices became common. This includes the Raspberry Pi and the Arduino open source platforms producing microcontroller’s hardware and computer applications (Christie, 2013).