# Online Event Recognition from Moving Vehicles: Application Paper

## TL;DR

This paper introduces a real-time event recognition system for moving vehicles that enriches streaming data with external info and uses optimized logic programming to identify useful activities for fleet management, demonstrating efficiency on real-world data.

## Contribution

It presents a novel online event recognition system combining data enrichment and optimized logic programming for vehicle stream analysis.

## Key findings

- Efficient processing of large-scale vehicle data.
- Effective identification of fleet management activities.
- System demonstrates real-world applicability.

## Abstract

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.