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

  • Marcin Luckner
  • Jan Karwowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10448)


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



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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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Mathematics and Information ScienceWarsaw University of TechnologyWarszawaPoland

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