Monitoring of speed incursions in DB long-distance traffic

In an interactive web application, GPS data and other data are used to display sections of long-distance traffic (FV) on which trains are travelling more slowly than usual.
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Slow speed points recognisable at a glance

Focusing on the most important jobs possible 

Challenge

  • In slow speed sections, FV trains may only run at reduced speed.
    These therefore have a significant influence on the FV punctuality of Deutsche Bahn
  • Slow speed sections of high speed traffic (>160km/h) are not relevant to safety and therefore do not need to be recorded centrally
  • Due to this difficult data situation, there is a lack of transparency about the current operating situation and efficient management of punctuality is difficult.

Solution

  • Speed dips are determined from the GPS data of long-distance trains using an empirical approach
  • The identified route sections are visualised on a map and their relevance is determined based on the travel time loss from the operational data
  • An R-Shiny web application intersects the data with information from the network control centre and provides the content to a panel of experts

Result

  • The slow speed sections are compiled in a view
  • A focus on the most important places is possible on the basis of the travel time loss

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