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.
@article{arxiv.1907.11007,
title = {Online Event Recognition from Moving Vehicles: Application Paper},
author = {Efthimis Tsilionis and Nikolaos Koutroumanis and Panagiotis Nikitopoulos and Christos Doulkeridis and Alexander Artikis},
journal= {arXiv preprint arXiv:1907.11007},
year = {2020}
}
Comments
Paper presented at the 35th International Conference on Logic Programming (ICLP 2019), Las Cruces, New Mexico, USA, 20-25 September 2019, 16 pages