UC:TT:ImportCompleteTimetableForVehicleWorkingSchedulingAndVehicleWorkings: Difference between revisions

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==Use case / {{Deu|Anwendungsfall}} / {{Fra|Scénario d’utilisation}}:==
{{useCase|TT||title=Import complete timetable for vehicle working scheduling and vehicle workings|CO=1|IS=1|RS=1}}


{{UC title}}
Import complete timetable for vehicle working scheduling and vehicle workings; {{Deu|Umlaufbildung Fahrzeuge Jahresfahrplan}}
Import complete timetable for vehicle working scheduling and vehicle workings; {{Deu|Umlaufbildung Fahrzeuge Jahresfahrplan}}


 
{{UC description}}
==Description / {{Deu|Beschreibung}} / {{Fra|Description}}==
 
A complete timetable shall be imported, serving as base for vehicle working scheduling.
A complete timetable shall be imported, serving as base for vehicle working scheduling.


The following usecases are covered:
The following usecases are covered:
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* import partial vehicle working data
* import partial vehicle working data


 
{{UC flows}}
==Data Flows and Interfaces / {{Deu|Datenflüsse und Schnittstellen}} / {{Fra|Flux de données et interfaces}}==
 
Typically, the import is done manually using a file based interface.
Typically, the import is done manually using a file based interface.


 
{{UC interference}}
==Interference with other railML<sup>®</sup> schemas / {{Deu|Interferenz mit anderen railML<sup>®</sup>-Schemen}} / {{Fra|Interaction avec autres schemas railML<sup>®</sup>}}==
 
* Common
* Common
* Infrastructure: the import uses elements from mesoscopic and macroscopic perspective
* Infrastructure: the import uses elements from mesoscopic and macroscopic perspective
* Rolling stock
* Rolling stock


 
{{UC data}}
==Characterising Data / {{Deu|Charakterisierung der Daten}} / {{Fra|Caractérisation des données}}==
{{UC update}}
 
===How often do the data change (update)?===
 
* static
* static


===How big are the data fragments to be exchanged (complexity)?===
{{complexity}}
 
* whole data set, or region
* whole data set, or region


===Which views are represented by the data (focus)?===
{{UC focus}}
 
* mid term
* mid term


===Which specific data do you expect to receive/send (elements)?===
{{UC elements}}
 
 
====Timetable data====
====Timetable data====


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* vehicle accounting for maintanance intervals
* vehicle accounting for maintanance intervals


==Open questions==
==Open issues==


* Identification of operational and commercial trains (if not present in railML data)
* Identification of operational and commercial trains (if not present in railML data)
* Relationship between operational and commercial trains (itineraries, formations, ...)
* Relationship between operational and commercial trains (itineraries, formations, ...)

Revision as of 17:18, 21 July 2016

Import complete timetable for vehicle working scheduling and vehicle workings
Subschema: Timetable and Rostering
 
Related subschemas: IS RS CO
Stift.png (version(s) )
For general information on use cases see UC:Use cases


Use case / Anwendungsfall

Import complete timetable for vehicle working scheduling and vehicle workings; Umlaufbildung Fahrzeuge Jahresfahrplan

Description / Beschreibung

A complete timetable shall be imported, serving as base for vehicle working scheduling.

The following usecases are covered:

  • import infrastructure for vehicle working scheduling (optional)
  • import rolling stock data (optional)
  • import timetable for a calendar period
  • import timetable for an abstract regular week (template)
  • import partial vehicle working data

Data Flows and Interfaces / Datenflüsse und Schnittstellen

Typically, the import is done manually using a file based interface.

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

  • Common
  • Infrastructure: the import uses elements from mesoscopic and macroscopic perspective
  • Rolling stock

Characterizing Data / Charakterisierung der Daten

How often do the data change (update)?

  • static

Template:Complexity

  • whole data set, or region

Which views are represented by the data (focus)?

  • mid term

Which specific data do you expect to receive/send (elements)?

Timetable data

  • base data of commercial and operational trains (validity, train numbers, train category, train line, operators, concessionairs, subcontractors etc)
  • commercial train data
    • itineraries with optional platform assignments
    • commercial formation requirements (may vary per itinerary section), commercial coupling and branching
    • planned connection requirements with
      • validity, source and target, minimum and maximum connection time, connection guaranteed flag, same platform required flag, connection direction (incoming, outgoing, both)
  • operational train data
    • references to commercial trains
    • itineraries with optional platform assignments
    • formations (may vary per itinerary section), including coupling and branching of trains


Infrastructure data

Stops, stations, tracks, track sections. They should

  • refer to a validity, possibly to be extended to daytime validity
  • carry infrastructure restrictions
  • allow computation of itineraries, including changes of direction

Rolling stock data

Vehicle information should include

  • validity reference
  • length
  • weight
  • speed
  • traction
  • seating capacity (per class)
  • standing capacity
  • additional services (buffet, wlan, etc.)

vehicle working and rostering data

Vehicle workings may be imported if there is a pre-planning that is to be completed.

  • Concatenation of operating trains to vehicle workings that are served by the same (abstract) vehicle
  • Shunting trips within Template:Ocps (referencing microscopic infrastructure)
  • Non-revenue trains implementing operational needs
  • Maintenance blocks for abstract vehicles

Rosterings may be imported if there is a pre-planning that is to be completed.

The following data could be imported:

  • Assignment of a rostering plan to a depot
  • Concatenation of vehicle workings to multi-day sequences of trains served by the same (abstract) vehicle
  • depot runs
  • vehicle standbys
  • vehicle accounting for maintanance intervals

Open issues

  • Identification of operational and commercial trains (if not present in railML data)
  • Relationship between operational and commercial trains (itineraries, formations, ...)