Vehicle Forecasting: A Machine Learning Approach for Predicting and Preventing Vehicle Issues, Based on the Design Thinking Approach

Bus location tracking systems are sophisticated technological systems that have revolutionized public transportation. These systems use advanced technologies, such as Global Positioning System (GPS) and wireless communication, to monitor and manage bus fleets in real-time. GPS receivers installed on buses provide precise location data, while communication networks facilitate data transmission to a central server. This data is then processed, analyzed, and made accessible through various platforms, including mobile applications and web interfaces. These systems have found wide-ranging applications in both developed and developing urban environments. Transit agencies utilize these systems to optimize routes, manage schedules, and proactively respond to incidents and disruptions. Bus location tracking systems have become a powerful toolset for transit agencies to refine bus routes, optimize schedules, and elevate the overall operational efficiency of public transit networks. The core components of bus location tracking systems include GPS devices installed on buses, a central server or cloud-based platform for data processing, and user interfaces accessible through mobile apps, websites, and display screens at bus stations. These user interfaces provide passengers with a user-friendly experience to track buses, estimate arrival times, and plan their journeys seamlessly.