Eureka! Institutional Repository

The precision and accuracy of bus monitoring systems are pivotal in modern urban transportation. Traditional methods are often inadequate, providing incomplete and sometimes inaccurate data concerning passenger flow and schedules. This thesis presents an innovative Bus Monitoring System designed to close these gaps. The system uses a Raspberry Pi 4 enhanced with a GPS/GSM module, 3D cameras installed at each bus door, and door sensors, amassing data in real-time to contribute to a comprehensive understanding of bus operations. The Raspberry Pi 4 operates as the central processing unit, drawing data from the 3D cameras and door sensors. The system springs into action when the bus doors open, using the GPS antenna to verify the bus's location and identify the relevant stop. The cameras then commence counting passengers as they enter and depart the bus, making real-time data collection possible. Once the doors close, the data-collection phase concludes, and the focus shifts to transmitting the data via a 4G network. The data finds its long-term home in a secure database, ready to be recalled for future analysis. This system allows a more efficient approach to bus scheduling and yields valuable insights into customer needs according to specific timeframes and locations. By interpreting the gathered data, bus operators can make more informed decisions, helping to optimize bus routes and scheduling to boost the overall passenger experience. Moreover, the utilization of technologies such as Raspberry Pi, GPS/GSM modules, and 3D cameras lets us overcome the limitations of traditional methods. These technologies enable real-time data collection, accurate passenger counting, and reliable data transmission, setting a strong foundation for augmenting the system down the line. The Bus Monitoring System offers a promising direction for improving public transportation, harnessing advanced technology to foster efficacy and enhanced data collection.