Understanding Information Based Processes in Traffic Modeling
This thesis covers the automatic update of the model parameters in traffic modelling using two mathematical tools, the Relative Entropy Rate and the path-wise Fisher Information Matrix. The traffic model used is based on a lattice of cells, representing the road, that can be either occupied or empty that is updated with a kinetic Monte Carlo algorithm. Because of fluctuating traffic density during