IoT-enhanced vehicle monitoring solution with intuitive mobile application for AI-based Android and iOS devices

An AI based Android and iOS Application is suggested in this paper which aims at improving the bus management efficiency. The system enables real-time tracking of number assigned to passenger, details of passenger and driver, seat occupancy, bus location, and operational metrics like fuel efficiency and engine temperature by utilizing the GPS & IoT Technology. Data is collected by means of a Node MCU ESP8266 module that sends data to the cloud for authorized persons. Internet based tracking and SMS based queries to access low connectivity are the two modes supported by the system. The server device on the bus regularly broadcasts its exact location and speed, allowing clients to track position. Experimental outcomes validate that the system excels with respect to performance and reliability over existing vehicle monitoring system. With the use of IoT empowered sensor networks, the system makes a contribution toward improved security, safety, and operation transparency in public transport.