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Questionário sobre IA em transporte público

Teste dados de chegada de trânsito, roteamento responsivo à demanda, prioridade de sinal, avaliação de previsão, integração MaaS e o significado dos feeds GTFS em tempo real.

Caminhos de guia relacionadosIA no transporte público
Pergunta 1 de 8

Como os aplicativos de transporte público prevêem quando seu ônibus realmente chegará?

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As respostas e explicações aparecem conforme você responde ao teste.

  1. Como os aplicativos de transporte público prevêem quando seu ônibus realmente chegará?
    • Adivinhando aleatoriamente
    • Pedindo ao motorista para ligar para o escritório
    • Usando apenas a programação impressa, sem dados em tempo real
    • Ao combinar a localização GPS ao vivo do veículo com o trânsito e os tempos históricos de viagem
  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. Que problema a previsão de demanda ajuda as agências de transporte público a resolver?
    • Decidindo a cor dos ônibus
    • Saber quantos passageiros esperar para que possam adicionar ou reduzir o serviço
    • Escolhendo a música tocada nas estações
    • Criação de logotipos de ônibus
  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