Online Event Recognition from Moving Vehicles: Application Paper
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Jul 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2021Online Learning Probabilistic Event Calculus Theories in Answer Set Programmingcited by 4
- 2023Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projectioncited by 1
- 2026Efficient Temporal Datalog Materialisation for Composite Event Recognitioncited by 0
- 2026Efficient Temporal Datalog Materialisation for Composite Event Recognition4 May 2026
- 2023Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection30 Aug 2023
- 2021Online Learning Probabilistic Event Calculus Theories in Answer Set Programming31 Mar 2021