Online Event Recognition from Moving Vehicles: Application Paper
This is an incremental improvement for fleet management applications, enhancing event recognition with data enrichment.
The paper tackles the problem of recognizing composite events from streaming vehicle positions by enriching mobility data with external information like weather and points of interest, and it demonstrates efficiency on large, real-world commercial vehicle data.
We present a system for online composite event recognition over streaming positions of commercial vehicles. Our system employs a data enrichment module, augmenting the mobility data with external information, such as weather data and proximity to points of interest. In addition, the composite event recognition module, based on a highly optimised logic programming implementation of the Event Calculus, consumes the enriched data and identifies activities that are beneficial in fleet management applications. We evaluate our system on large, real-world data from commercial vehicles, and illustrate its efficiency. Under consideration for acceptance in TPLP.