A Closer Look at Scoring

Abstract

As outlined in Section 1.4 and by Figures 1.1 and 1.4, MATSim is based on a co-evolutionary algorithm: Each individual agent learns by maintaining multiple plans, which are scored by executing them in the mobsim, selected according to the score and sometimes modified. In somewhat more detail, the iterative process contains the following elements: mobsim The mobility simulation takes one “selected” plan per agent and executes it in a synthetic reality. This may also be called network loading. scoring The actual performance of the plan in the synthetic reality is taken to compute each executed plan’s score. replanning consists of