Meeting Operations Research and Machine Learning for Efficient Planning, Management and Control at Air Transport Mobility.

The shared objectives of this subproject are:

  • 01 UPC-URJC-UCLM. Modelling of competition between operators using static Nash Equilibrium models. Analysis of access charges policies under regular and extreme scenarios.
  • 02 UPC-URJC. Strategic planning of fleets and routes in multimodal environments in competition and under highly variable settings.
  • 04 URJC-UCLM. Combining operational research methods, machine learning and artificial intelligence to advance the theory and practice of operational transportation system planning and management in competitive scenarios.
  • 06 URJC. Introduction of machine learning technics in traffic guidance, navigation and control systems for safe and efficient mobility.

Principal Investigators:

Research team:

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