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ActioPredict

Big Data and Deep Learning for Transport Occupancy Prediction

Predicts the occupation of the service helping the operator, to improve the dimensioning of its services

Informs users of the predicted occupancy of the bus when it arrives at their stop

Encourages a staggered use of transportation services

Does not require on-board equipment, maximizing the return on investment

Features

  • Deep Learning (neural networks) prediction
  • Advanced causal inference models
  • Variables: calendar, service operations, weather sequences, cultural events…
  • Predictions can be integrated in mobile apps, web portals, bus stop panels, Google Maps, Moovit…
  • Does not require on-board equipment, maximizing the return on investment