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Automated People Counting in Public Transport

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Industry 4.0 Challenges in Smart Cities

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

This paper is elaborating on problems in public transport in the context of Smart Cities and Internet of Things (IoT). The means of public transport are commonly overcrowded and on the other hand some lines could be designed inefficiently. This affects passengers’ comfort and also the financial site of public transport companies. The field of counting people in public transport is specific with its variety and limitations regarding setup in vehicles, which we took into account while designing the embedded system. We propose a solution—an embedded system with an array of infrared sensors. Approach uses image processing means (gauss filter, sliding average, and thresholding) for object detection, followed by the detection of direction by correspondence of objects positions across images. We performed controlled experiments with one and four participants in different scenarios which were compared to other similar solutions. We have achieved satisfying results up to 95%.

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Change history

  • 08 October 2022

    The original version of chapter 5 [Automated People Counting in Public Transport] was published with the first names and surnames of the authors interchanged based on recommended citation (mentioned on the web) as Peter, P., Simon, H., Michal, V. (2023). Automated People Counting in Public Transport. In: Cagáňová, D., Horňáková, N. (eds) Industry 4.0 Challenges in Smart Cities.

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Author information

Authors and Affiliations

  1. Kempelen Institute of Intelligent Technologies, Bratislava, Slovakia

    Peter Pištek & Simon Harvan

  2. FIIT, Slovak University of Technology in Bratislava, Bratislava, Slovakia

    Michal Valicek

Authors
  1. Peter Pištek
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  2. Simon Harvan
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  3. Michal Valicek
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Corresponding author

Correspondence to Peter Pištek .

Editor information

Editors and Affiliations

  1. Slovak University of Technology in Bratislava, Trnava, Slovakia

    Dagmar Cagáňová

  2. Slovak University of Technology in Bratislava, Trnava, Slovakia

    Natália Horňáková

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Pištek, P., Harvan, S., Valicek, M. (2023). Automated People Counting in Public Transport. In: Cagáňová, D., Horňáková, N. (eds) Industry 4.0 Challenges in Smart Cities. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-92968-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-92968-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92967-1

  • Online ISBN: 978-3-030-92968-8

  • eBook Packages: EngineeringEngineering (R0)

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