Novel perspectives on networks traffic flow theory for transportation networks

Program
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 info@rstrail.nl.