IoT system architecture for monitoring and analyzing public transport data

Abstract

The crucial role of public transport in the economy and modern city development is widely acknowledged. However, contemporary public transport systems are confronted with several challenges that require resolution. These challenges include real-time monitoring, data management, passengers flow optimization, and road accident prediction. The Internet of Things (IoT) presents a promising avenue for the development of modern public transport management systems. By leveraging a diverse range of technologies, such as sensors, edge devices, cloud computing, and various communication infrastructures, IoT systems can enable the creation of robust and automated public transport infrastructure. In this research, we propose an architecture for a public transport monitoring and management system. The proposed system can effectively collect, store, and monitor public transport data, thereby facilitating efficient management and timely response to risks that arise in the transport system. Implementation of such a system would enable public transport administrators to monitor and swiftly respond to potential problems such as overloaded passenger flows, emergencies, and technical issues with transport systems.