Application of computer modeling software for mining vehicle fleet telemetry monitoring

vehicle fleet monitoring. Computer modeling helps to reduce
prototyping costs and lower the risks of initial launch failure by
analyzing and configuring the prototype in order to test various
options and find the most fitting ones. We show in the first part of the
study that using a computer modeling method, it is possible to test
numerous combinations of metrics acquired during vehicle
monitoring in the simulation rather than adding equipment to vehicles
during prototyping Usage of real hardware during the prototype
phase adds downtime to the vehicle fleet and reduces productivity.
Along with those drawbacks, it also introduces the possibility of
additional costs if the configuration needs to be changed later. By
leveraging modern time-series data storage solutions, we present an
easier approach to analyze real-world data retrieved using a
simulation as a proxy. In the second part of the paper, we then
propose a workflow of integrating SUMO with a time-series storage
database through an Application Programming Interface (API) called
TraCI, allowing for aggregation of vehicle fleet data over time and
visualizing that data on the dashboard. At the end of the paper, we
show a measuring methodology and provide a viable solution for the
efficient transfer of telemetry data.