Understand · Demand and ridership

Know what demand is coming before it arrives

TDS Forecasting uses years of booking history, seasonality and events to predict ridership by route and departure, so pricing, capacity and staffing are ready for it.

Forecasting

What forecasting covers

Demand by departure

Expected riders for every upcoming trip, updated as bookings come in.

Seasons and events

Holidays, school terms and local events built into every forecast.

Capacity planning

Spot the trips that will need an extra bus or a bigger one, days ahead.

Revenue outlook

Expected revenue by route and week, for budgets and pricing decisions.

Forecasting in actionAI-enhancedHow TDS uses AI

See next week's riders before they book

TDS forecasts riders for every upcoming departure from booking history, the time of year and events, then points to the departures that need a second bus or a different fare while there's still time to act.

ForecastingRoute 340 · next 14 daysSample

Riders per day, next 14 days

Forecast for Route 340, against the same weekdays last year. The holiday moves riders to the days around it.

ForecastLikely rangeSame days last year

Departures to act on

Departure Booked nowForecastSeatsTDS suggests
Tue 7:00 AM91856Keep the lowest fares on sale
Wed 5:30 PM316256Add a second bus
Fri 5:30 PM445456Open the next fare level sooner
Sun 3:00 PM226156Add a second bus

TDS insightTwo departures next week are forecast to sell out more than a day early. A second bus on each would carry about 11 more riders.

Sample data: a fictional route and invented forecasts.

Seasons and eventsAI-enhancedHow TDS uses AI

Holidays and school breaks, planned weeks ahead

Weekly forecasts sit next to the same weeks last year, with the holidays, school breaks and local events that move demand marked on the calendar.

  • Holidays and school terms built in
  • Local events added by your team
  • Every week compared with last year
ForecastingSeasons and eventsSample

Riders per week, next 8 weeks

Forecast against the same weeks last year, with the holidays and school breaks that drive the peaks.

ForecastSame weeks last year

Riders per week, next 8 weeks
WeekForecastSame weeks last year
Week 12.6k2.5k
Week 22.7k2.6k
Week 33.4k3.1k
Week 42.6k2.5k
Week 52.7k2.5k
Week 63.1k2.9k
Week 73.3k3.0k
Week 82.7k2.6k
  • Week 3 Holiday week
  • Week 6 School break
  • Week 7 School break

TDS insightThe holiday week is forecast 8% above last year. Open extra departures and set fares for it now, while most seats are still unsold.

Sample data: a fictional route and invented forecasts.

A forecast you can check

Every forecast is scored against the riders who actually travelled, so your team can see how far ahead it can be trusted and where it's improving.

See how forecasts drive fares in Dynamic Pricing

  • Forecast against actual, week by week
  • Accuracy this year against last year
  • Sell-outs spotted a week or more ahead
ForecastingForecast accuracySample
Forecast accuracy96%Last year: 92%+4 pts
Departures within 5 riders88%Last year: 81%+7 pts
Sell-outs forecast a week ahead9 in 10Last year: 7 in 10+20 pts

Forecast against actual, last 8 weeks

Weekly riders on Route 340. Accuracy is the average weekly error, this year against last year.

Actual ridersForecast, made 3 weeks ahead

TDS insightThe forecast was furthest off in the holiday week, by 8%. It now weights the days around holidays more heavily.

Sample data: a fictional route and invented forecasts.

Outcomes

What carriers get

  • Fewer sold-out and empty trips
  • Pricing set ahead of demand
  • Drivers and buses planned where they're needed
Works with

Related products

Revenue Management

Yield & revenue strategy

Route Analysis

Route performance

Dispatch Management

Dispatch Control Center

See TDS in action.

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