UC:IS:PassengerInformationSystem: Difference between revisions

From railML 2 Wiki
Jump to navigation Jump to search
[checked revision][checked revision]
m (Ferri Leberl moved page IS:UC:PassengerInformationSystem to UC:IS:PassengerInformationSystem: Vereinheitlichung)
m (Version changed)
Line 1: Line 1:
{{useCase|IS|2.3|title=Passenger Information System|RS=1|TT=1|abbr=PISY}}
{{useCase|IS|2.4|title=Passenger Information System|RS=1|TT=1|abbr=PISY}}


{{UC title}}
{{UC title}}

Revision as of 19:58, 25 March 2019

Passenger Information System
(PISY)
Subschema: Infrastructure
 
Related subschemas: TT RS 
Stift.png (version(s) 2.4)
For general information on use cases see UC:Use cases


Use case / Anwendungsfall

Passenger Information System; Passagierinformationssystem;

Description / Beschreibung

The application focuses the transfer of timetable, traction and topology information from the resource planning system of the railway infrastructure manager to the passenger information system of the same (or another) infrastructure manager.

Data Flows and Interfaces / Datenflüsse und Schnittstellen

The data flow is one-directional: It goes from the resource planning system to the passenger information system. There are two types of data flows:

  • Scenario 1: Bulk transfer of all (updated) timetable, traction and topology data: 5-6 times per year.
  • Scenario 2: Incremental transfer of short-term timetable, traction and topology data: Once a day.


Figure 1: Data flows for the Passenger Information System use case

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

  • rolling stock
  • timetable

Characterizing Data / Charakterisierung der Daten

This section serves to specify the required data regarding certain aspects.

How often do the data change (update)?

  • Bulk transfer: regular changes 5-6 times a year
  • Daily changes for incremental transfers

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

  • Granularity of data: macro-level (operational points, lines)
  • Complexity of data: railway line

Which views are represented by the data (focus)?

  • Construction, more generally spoken "passenger information". Like construction areas and possible by-passes on the journey.

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

  • Macroscopic topology:
    • Lines
    • Operational points (stations)