UC:IS:DriverAdvisorySystem

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Use case / Anwendungsfall / :

Driver Advisory System (DAS); Fahrerassistentsystem;


Description / Beschreibung /

The Driver Advisory System (DAS) is an on-train driver support system which advises a driver on the most energy-efficient speed profile with which to meet the train’s current schedule. The DAS receives as input the current schedule (which may be updated at any time) together with a range of static or near-static data relating to the track, namely: topology, topography, asset locations and speed restrictions; and various parameters relating to the vehicle itself.


Data Flows and Interfaces / Datenflüsse und Schnittstellen /

Data inputs

  • Track attributes (Infrastructure):
    • Track Centre Line (as a polyline)
    • Track altitude (polyline)
    • Geometry: Track curvature
    • Topology: Node-link model
    • Route IDs
    • Track IDs
    • Mileposts / kilometre posts id, location
    • Junctions id, location
    • Loop ends id, location
    • Platform ends platform ids, location
    • Tunnels id, location (,envelope)
    • Signals id, location, signal type
    • Permissible speeds including permanent speed restrictions (PSRs), qualified by direction of travel and train type
    • Temporary speed restrictions (TSRs), qualified by direction of travel and train type
    • Emergency speed restrictions (ESRs)
    • Locations of the following may also be required in the future (TBD):
      • Signal berths id, location
      • Bridges id, location
      • Road crossings id, location
  • Schedule attributes (Timetable):
    • Train Service Id
    • (Sequence of) scheduled locations
      • location name
      • location as Track attribute
    • For each passing location
      • passing time and tolerance (before and after)
    • For each stopping location
      • arrival and departure times
  • Vehicle attributes (Rollingstock):
    • Formation or consist
    • (mass, length) profile
    • Maximum speed
    • Braking parameters (braking curve, brake delay, brake build-up)
    • Traction parameters
    • Coefficients of resistance


    Data outputs

    DAS operating logs

    • Train id
    • Time
    • Train location
    • Train actual speed
    • Advised speed
    • Driver entered parameters

Interference with other railML® schemas / Interferenz mit anderen railML®-Schemen /

  • timetable
  • rolling stock

Characterizing Data / Charakterisierung der Daten / This section serves to specify the required data regarding certain aspects. How often do the data change (update)?

  • static (not changing)
  • yearly
  • monthly
  • weekly
  • daily

How big are the data fragments to be exchanged (complexity)?

  • huge (region)

Which views are represented by the data (focus)?

  • Energy
  • Train regulation