PID2020-112967GB-C33
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.
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