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Analyzing Behavior in Cyber-Physical Systems in Connected Vehicles: A Case Study

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Business Process Management Workshops (BPM 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 492))

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Abstract

Cyber-physical systems embedded in various areas connected to the internet generate unprecedented volumes of data. Humans frequently interact with these systems, thus allowing companies to analyze the data and gain valuable insights into user-product interactions. To analyze the underlying behavior recorded in data, process-mining techniques can be used. However, to apply process mining, the low-level measurements have to be transformed into an event log. In this work, we analyze enriched and transformed connected-vehicle data dealing with an assistance system using process-mining techniques. We analyze the time spent in states of the system, compare behavior between different models using Kruskal-Wallis’ and Dunn’s test, and discover reasons for state switching. We demonstrate how companies can apply process mining on data collected by internet-of-things devices to understand the usage, ratify system requirements, and develop their products.

This research is supported by Ford-RWTH Aachen University Alliance program. We thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.

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Notes

  1. 1.

    https://pm4py.fit.fraunhofer.de/.

  2. 2.

    https://rapidminer.com/.

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Authors and Affiliations

  1. Chair of Process and Data Science, RWTH Aachen University, Aachen, Germany

    Harry H. Beyel & Wil M. P. van der Aalst

  2. Global Data Insight & Analytics, Ford, Dearborn, USA

    Omar Makke & Oleg Gusikhin

Authors
  1. Harry H. Beyel
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  2. Omar Makke
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  3. Oleg Gusikhin
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  4. Wil M. P. van der Aalst
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Corresponding author

Correspondence to Harry H. Beyel .

Editor information

Editors and Affiliations

  1. KU Leuven, Leuven, Belgium

    Jochen De Weerdt

  2. TUM School of Computation, Information and Technology, Heilbronn, Germany

    Luise Pufahl

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Beyel, H.H., Makke, O., Gusikhin, O., van der Aalst, W.M.P. (2024). Analyzing Behavior in Cyber-Physical Systems in Connected Vehicles: A Case Study. In: De Weerdt, J., Pufahl, L. (eds) Business Process Management Workshops. BPM 2023. Lecture Notes in Business Information Processing, vol 492. Springer, Cham. https://doi.org/10.1007/978-3-031-50974-2_8

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  • DOI: https://doi.org/10.1007/978-3-031-50974-2_8

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  • Print ISBN: 978-3-031-50973-5

  • Online ISBN: 978-3-031-50974-2

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