Evaluation of fleet management data collection backend using Cassandra database

As the automotive industry development is shifting towards the digitalization and automation of various driving, entertainment and passenger comfort features of the vehicle, numerous IoT sensors are installed and used within the modern cars. These sensors generate data that can be used in fleet management, maintenance, insurance, and different consumer scenarios In this paper, we evaluate one approach towards the implementation of a data collection and storage component of the fleet management system, which supports the real-time gathering and storage of information on a large number of vehicles in motion. Modules have been implemented in the fleet management cloud, which enable data transfer and storage without losing data. The fleet management system tracks the vehicle's location and collects sensory data from within the vehicle at all times, as well as data on the current condition of the vehicle components.