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Estimation of Delays for Individual Trams to Monitor Issues in Public Transport Infrastructure

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

Open stream data on public transport published by cities can be used by third party developers such as Google to create a real–time travel planner. However, even a real data based system examines a current situation on roads. We have used open stream data with current trams’ localisations and timetables to estimate current delays of individual trams. On that base, we calculate a global coefficient that can be used as a measure to monitor a current situation in a public transport network. We present an use case from the city of Warsaw that shows how a critical situation for a public transport network can be detected before the peak points of cumulative delays

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Notes

  1. 1.

    http://www.vavel-project.eu.

  2. 2.

    https://api.um.warszawa.pl.

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Acknowledgements

This research has been supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 688380 VaVeL: Variety, Veracity, VaLue: Handling the Multiplicity of Urban Sensors.

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Authors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, 00–662, Warszawa, Poland

    Marcin Luckner & Jan Karwowski

Authors
  1. Marcin Luckner
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  2. Jan Karwowski
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Corresponding author

Correspondence to Marcin Luckner .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management , Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Luckner, M., Karwowski, J. (2017). Estimation of Delays for Individual Trams to Monitor Issues in Public Transport Infrastructure. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_50

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_50

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  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

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