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Dynamic Transfer Patterns for Fast Multi-modal Route Planning

  • Thomas Liebig
  • Sebastian Peter
  • Maciej Grzenda
  • Konstanty Junosza-Szaniawski
Conference paper
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Route planning makes direct use of geographic data and provides beneficial recommendations to the public. In real-world the schedule of transit vehicles is dynamic and delays in the schedules occur. Incorporation of these dynamic schedule changes in multi-modal route computation is difficult and requires a lot of computational resources. Our approach extends the state-of-the-art for static transit schedules, Transfer Patterns, for the dynamic case. Therefore, we amend the patterns by additional edges that cover the dynamics. Our approach is implemented in the open-source routing framework OpenTripPlanner and compared to existing methods in the city of Warsaw. Our results are an order of magnitude faster then existing methods.

Keywords

Public Transport Transit Network Route Planning Transfer Pattern Dynamic Transit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors received funding from the European Union Horizon 2020 Programme (Horizon2020/2014–2020), under grant agreement number 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

  • Thomas Liebig
    • 1
  • Sebastian Peter
    • 1
  • Maciej Grzenda
    • 2
  • Konstanty Junosza-Szaniawski
    • 2
  1. 1.TU Dortmund UniversityDortmundGermany
  2. 2.Faculty of Mathematics and Information ScienceWarsaw University of TechnologyWarsawPoland

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