MATSim as a Monte-Carlo Engine

Abstract

“Agents” that “learn” in a “synthetic reality” is a common term in Artificial Intelligence (Russel and Norvig, 2010) and/or Multi-Agent simulation (Ferber, 1999), but it does not belong to the standard terminology of transport modeling. This chapter explains the functioning of MATSim in terms of modeling and simulation concepts that are more established in the transportation field. It is important to distinguish between a model and a simulation. A model describes certain aspects of a system; a simulation evaluates a model. For instance, a simple route choice model may state that route A is selected with 25% probability and route