AI in Public Transit Quiz

Answers and explanations appear as you take the quiz.

1. How do transit apps predict when your bus will actually arrive?
   • By guessing randomly
   • By asking the driver to call the office
   • By using the printed schedule only, with no live data
   • By blending the vehicle's live GPS location with traffic and historical travel times
2. How does demand-responsive microtransit differ from a service following only a fixed route?
   • It can pool ride requests and plan pickups dynamically within service constraints
   • It has no pickup requests or vehicle constraints
   • It is a fixed subway line with no routing choices
   • It refers only to a miniature model train
3. What problem does demand forecasting help transit agencies solve?
   • Deciding the color of buses
   • Knowing how many riders to expect so they can add or trim service
   • Choosing the music played at stations
   • Designing bus logos
4. What can transit signal priority do for an approaching bus?
   • Guarantee that the bus never encounters traffic
   • Replace every intersection's safety rules with a ridership forecast
   • Adjust signal timing, such as holding or extending a favorable signal
   • Change only the bus route's printed name
5. How should an agency assess whether a new bus-arrival predictor improves its passenger information?
   • Compare its forecasts with actual arrivals under representative routes and times
   • Accept every forecast as correct because the model is newer
   • Measure only how attractive the app icon looks
   • Ignore missing or stale source updates during evaluation
6. What does Mobility as a Service integrate for travelers?
   • Only new highway construction
   • A requirement that all vehicles be fully driverless
   • Only the microphone settings in a journey-planning app
   • Transport options, potentially including planning, booking, and payment across multiple modes
7. Why should a transit arrival predictor check the timestamp of its latest vehicle-position update?
   • A timestamp guarantees that every predicted arrival is correct
   • Older positions always improve a live estimate
   • A stale location may no longer represent the vehicle's current progress
   • Vehicle positions remain accurate indefinitely without updates
8. In GTFS realtime, how do VehiclePositions and TripUpdates differ?
   • Both fields are names for the AI model's gradient optimizer
   • VehiclePositions supplies location information; TripUpdates supplies trip progress and predicted stop timing
   • VehiclePositions contains only ticket prices and TripUpdates only route colors
   • Both require a neural network to define their file format