Live data analytics with IoT intelligence-sensing system in public transportation for COVID-19 pandemic

Abstract

The COVID-19 pandemic has presented an unprecedented challenge to the entire world. It is a humanitarian crisis on a global scale. The virus continues to spread throughout nations, putting health systems under enormous pressure in the battle to save lives. With this growing crisis, companies and researchers worldwide are searching for ways to overcome the challenges associated with this virus. Also, the transport sector will play a critical role in revitalizing economies while simultaneously containing the spread of COVID-19. As the virus is still cir-culating, the only solution is to redesign public transportation to make people feel safe. In this paper, we have proposed a system based on computer vision and IoT sensor infrared technology with live data analytics. The proposed system is capable of gathering, storing, analyzing, processing, and handling the vast amount of data produced by the IoT sensors, and provides the users with real-time information on potential events affecting public transport, thereby enabling users to make well-informed and timely decisions. The evaluation showed that, despite the complexity of the system, it performs well.