Course – Traffic Flow Operations and AI

October 13, 2021

Novel perspectives on networks traffic flow theory for transportation networks

Empirics of network traffic flow theory:

  • Data collection for network traffic flows
  • Empirical relations in network traffic data (e.g. fundamental diagram (for networks))
  • Active modes traffic empirics

Short recap of Fundamentals of traffic flow theory:

  • Inductive vs deductive science
  • Microscopic models, macroscopic models, and their relations (multi-scaling)
  • A multi-modal perspective to traffic flow theory

Applications of AI in network traffic flow operations

  • AI and traffic flow theory: two peas in the same pot?
  • Structures in data, identification of dynamic relations
  • Examples of AI and model-based data assimilation (estimation, prediction, control)

More detailed information on the course will follow soon.

Course leaders: Prof. Serge Hoogendoorn & Prof. Hans van Lint

Lecturers: Dr. Simeon Calvert, Dr. Panchamy Krishnakumari, and Dr. Yufei Yuan

Dates: 13, 14 and 15 October 2021

Time: 09.30 – 12.30h

Location: TU Delft or online (t.b.d)

ECTS: 1 (attendance only) – 2 (attendance + passing assignment)

Registration: HERE

Participation: free for TRAIL/Beta/OML/ERIM members and PhD students of participating TRAIL faculties (first come first go); others please contact the TRAIL Office

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