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 circulating, 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.

Social Distance Approximation on Public Transport Using Stereo Depth Camera and Passenger Pose Estimation

“…Despite existing published literature on the monitoring of people using computer vision, both on public transportation and for social distancing, studies in which these purposes intersect appear largely unexplored. A system has been proposed in which IoT sensors (GNSS-obtained vehicle location, thermal infrared cameras, and microphones) onboard public transport are utilised to gather and process information on general passenger well-being before aiding passengers in making informed decisions on their journey based on real-time data [ 19 ].…”

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

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Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19

“…The virus continues to spread throughout nations, placing huge pressure on health systems in the fight to save lives. Companies and researchers worldwide are looking for ways to solve the problems associated with this virus and to stem the increasing crisis [8,9].…”