Driver scoring in the context of Tracking system

Vehicle location data is the big data collection of vehicle locations, including automatic vehicle location data, a core feature of any vehicle tracking system. This usually includes times and often photographs as well, a practice known as video telematics. The process of collecting this data from remote assets via telemetry is a core component of telematics, often managed by a telematic control unit. Its application in the commercial sector forms the basis of fleet digitalization and is central to any fleet telematics system.

Common methods of data collection include automatic number plate recognition from cameras, such as a Dashcam, and radio-frequency identification (RFID) from transponders. In commercial contexts, a dedicated GPS tracking unit is often used for this purpose, forming part of a wider tracking system. Databases of this information are maintained by both government and private entities. For businesses, this data is essential for fleet management tasks like Track and trace, enabling vehicle repossession, and consumer profiling through methods like Driver scoring. Government databases have been subjected to legal orders for location data, and access may be granted in both criminal and civil cases.

A fleet telematics system is a method for managing vehicle fleets by combining in-vehicle hardware with a centralized software platform. This integration facilitates the real-time collection and analysis of data related to a vehicle's location, its mechanical health, and the performance of its driver. While it uses vehicle tracking for foundational automatic vehicle location, a comprehensive telematics system goes further by tapping into a vehicle's onboard diagnostic systems. It is a component of fleet digitalization, transforming raw data into insights for improving efficiency, safety, and lowering the total cost of ownership (TCO).

These systems are used in modern fleet management, providing data on everything from fuel consumption and engine maintenance to driver scoring and route planning. A common challenge that modern platforms address is the consolidation of data from a mixed fleet of vehicles and machinery from various manufacturers into a single, unified system. The technology is used in commercial industries and for consumer services like carsharing and ride-hailing platforms such as Uber and Bolt.