Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a specification formalism suitable for describing both nondeterminis...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
A car-following and lane-changing microsimulation model of a two-lane road section has been written in SLX (Simulation Language with eXtensibility) as part of an extensive researc...
Although simulation is one of the most innovative and cost-effective tools for modeling and analyzing a system, simulation studies often fail to provide any useful results. One re...
Modeling requires considerable knowledge of the various stages of the simulation process. The modeler needs to know a great deal of the system to be modeled (domain specific knowl...