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Qué pasó
  1. Lectura
  2. Metodología de los datos
  3. Cobertura de coincidencia entre predicciones y horario

The share of published realtime prediction points that can be joined to an official scheduled trip and stop time.

Definición
The share of published realtime prediction points that can be joined to an official scheduled trip and stop time.
Fórmula
100 × matched prediction points ÷ all prediction points. The current value uses the trailing 30 minutes; the historical quality window aggregates completed service days.
Unidades
percent of realtime prediction points
Población
Realtime prediction points received from the connected operator feeds.
Ventana de medición
Current quality: trailing 30 minutes. Historical quality: completed service-day aggregates.
Cobertura
The numerator contains prediction points that join to the current static timetable; the denominator contains all received prediction points in scope.
Elegibilidad para publicar
Connected OC Transpo and STO prediction observations with a valid received time. Missing feeds are unavailable, not zero.
Alcance
The connected OC Transpo and STO realtime prediction observations and the matching currently imported static GTFS timetable.
Qué puede respaldar este número
Evidence-pipeline compatibility only. It does not measure punctuality, cancellations, completed trips, or rider wait.
Fuentes e identificadores

Estado de implementación

Fuente candidata
Implementado en esta fuente candidata.
Producción pública
Esta versión de la métrica no ha sido verificada de forma independiente en el sitio público.

Lee el estado antes de citar este número.

The calculation is implemented in this source candidate. This record does not claim that the same version has been independently verified in the public production deployment.

Exclusiones

This is an evidence-pipeline quality measure, not a punctuality, cancellation, or operated-service score.

A prediction that cannot be joined is not treated as proof that the associated trip or stop service did not operate.

Incertidumbre e interpretación

Static and realtime identifiers can diverge during schedule transitions, partial feed failures, or operator changes; those gaps reduce coverage without describing rider outcomes.

Datos probantes actuales

Historial de cambios

No hay ningún cambio importante registrado para esta versión de la métrica.