Artificial Intelligence for mobility pattern analysis and recurrent O/D matrices generation

Helps the operator to better dimension the service and to adapt quicker to changes

Provides the authority with a wider in-depth view of passenger mobility habits (demand clusters, transfers...)

Saves costs and time compared to counts and field work

Does not require on-board equipment


  • Data integration through APIs
  • Interactive graphics generation (different formats)
  • Uses Deep Learning technology (neural networks)
  • Possibility to include variables: calendar, weather, cultural or sporting events…