Quiz sur l'IA dans les transports en commun

Les réponses et les explications apparaissent au fur et à mesure que vous répondez au quiz.

1. Comment les applications de transports en commun prédisent-elles l’heure d’arrivée réelle de votre bus ?
   • En devinant au hasard
   • En demandant au chauffeur d'appeler le bureau
   • En utilisant uniquement le planning imprimé, sans données en direct
   • En combinant la localisation GPS en direct du véhicule avec le trafic et les temps de trajet historiques
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. Quel problème la prévision de la demande aide-t-elle les agences de transport en commun à résoudre ?
   • Décider de la couleur des bus
   • Savoir à combien de passagers s'attendre afin de pouvoir ajouter ou réduire le service
   • Choisir la musique diffusée dans les stations
   • Conception de logos de bus
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   • A stale location may no longer represent the vehicle's current progress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