Development of a Telemetry Platform for Ambulance Fleet Monitoring and Management

The rapid evolution of digital technologies, the growing relevance of data-driven applications, and the increasing need for smart mobility solutions are profoundly transforming the automotive sector. Among the numerous application domains, emergency and medical services represent a critical field where the adoption of connected vehicle technologies can significantly improve efficiency, safety, and quality of care. Ambulances, in particular, play a central role in emergency response, where time, coordination, and data availability can make the difference. For this reason, the integration of advanced telemetry systems into ambulance fleets is emerging as a strategic solution for both healthcare providers and mobility managers. The project presented in this thesis focuses on the design and development of a web-based platform for the management of ambulance fleet telemetry. The proposed system enables the acquisition, processing, and visualization of vehicle data, including parameters such as position, speed, mileage, fuel consumption, and diagnostic information. These data are collected through onboard units (OBUs) and sensors and transmitted in real time to a cloud-based infrastructure, where they are stored, analyzed, and made available to fleet operators through an intuitive graphical interface. From an operational perspective, the ability to monitor ambulance fleets in real time provides several advantages. First, it improves resource allocation and dispatching: by knowing the exact location and status of each vehicle, it is possible to assign the closest available ambulance to an emergency call, reducing response times. Second, continuous access to telemetry data allows predictive maintenance, as abnormal patterns in engine temperature, battery health, or fuel consumption can be detected early, avoiding unexpected breakdowns during critical operations. Third, analysis of vehicle rides and speed profiles provides valuable insights into driver behavior, enabling strategies aimed at increasing safety and reducing fuel costs. From a technological perspective, the system leverages automotive connectivity, cloud computing, and data visualization frameworks to build a scalable and reliable solution. The platform can also be extended to include regulatory compliance features, such as automated reporting on vehicle usage, maintenance, or safety inspections, which are particularly relevant for public and private healthcare providers. In the broader context of automotive engineering, this project demonstrates how connectivity and digitalization are reshaping not only private mobility but also specialized and mission-critical vehicles. Ambulances, once considered traditional vehicles with limited technological integration, are now evolving into connected nodes within a smart mobility ecosystem. This evolution aligns with the ongoing transformation of the automotive industry towards connected paradigms, where data plays a central role in enabling new functionalities and business models.