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006 STEG - Control of railroad traffic via electronic graph

Published: 4 June 2014

The main task of this project is to examine whether you by using STEG, can analyze the actual capacity utilization from a maintenance perspective. That is, looking at the proportion of planned time that's reserved for railroad engineering and how they comply to the the actual time used.

The main task of this project is to investigate whether using STEP, can analyze the actual capacity utilization from a maintenance perspective. That is to investigate what proportion of the planned times reserved for track work really utilized. STEP was developed through a collaboration between the National Rail Administration (1997) and Uppsala University. Since January 2010, STEP has been used in live operation at the traffic centers in Constance and Norrköping. The hypothesis is that Trafikverket using STEP can get a quality assured and integrated picture of the actual occupancy of the facility, which in turn can contribute to a more quality assured capacity allocation process regarding optimization of service and maintenance.

results Description

The following conclusions and results can be summarized by the subproject end:

  • It is possible that by using the STEP monitor the engineering works that have been planned and reconnect the outcome to those who have been with the capacity allocation process. In this way, those who have been involved in planning to improve their work and ultimately ensure the quality process.
  • Instead of a theoretical value of occupancy from the maintenance perspective, it is possible to obtain real values ​​and reconnect within the Transport Administration's organization, but also to the maintenance contractors and railway companies.
  • When the results are now stored for a long period and a certain track portion supported research, development and improvement around the plant and its maintenance.
  • The project has presented a number of examples of possible presentation of results from the analysis of the STEP data.

Project leader: Peter Söderholm, Trafikverket,

Project partners: The Swedish Transport Administration, Luleå University of Technology, Infranord