TransitAI Core

Ridership forecasting

How many riders, and when.

The model projects how many people will board, by route and by hour, so service can be matched to demand.

Passenger counts show how full each bus was. Fare records show when people paid. Together they give a history of demand detailed enough to project forward.

Planners use forecasts like this to decide where to add trips, and where a smaller vehicle would do.

Question
How many boardings should each route expect, hour by hour?
Draws on
Passenger counting, fare collection and the GTFS timetable
Useful to
Service planners
Status
Planned

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