Meeting Optimization and Machine Learning for Railway Transport and Urban Mobility Planning and Management.

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.
  • 03 UPC-UCLM. Modelling the time slot allocation by the Infrastructure manager in deregulated markets in both normal and low demand scenarios.
  • 05 UPC. Activity-based models for uncertain and restricted demand situations for urban and interurban mobility.

Principal Investigators:

Research team:

Work team:

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