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Modelling Traffic with LWR models

·1 min

In 2024 I graduated with a Master’s degree in Mathematics from the University of Verona. My Master’s thesis, titled “Data-Driven Modelling and Calibration of Multi-Agent Systems,” focuses on two main targets:

  1. Investigating the Discrete-to-Continuum transition in traffic dynamics, underlying the relationship between macroscopic and microscopic models.
  2. Employing neural network-driven models to simulate particle interaction dynamics, particularly in a traffic scenario.

To address the parameter estimation challenge, I contextualized the problem within optimal control framework and utilized data provided by the Esimas Project.

For further insights, please explore my presentation created with reveal.js, and examine the codes available on my GitHub repository TrafficModelling.