Today, computer-aided strategies in social sciences are an indispensable component of teaching programs. In recent years, microsimulation modeling has gained attention in its ability to represent predicted physiological developments visually, thus providing the user with a full understanding of the impacts of a proposed scheme. There are several microsimulation models in human medicine, and the...

High entry barriers might discourage many social scientists from using existing microsimulation software. This article presents the functionality and capabilities of the free and open source R package MicSim which allows performing continuous-time microsimulation at a very fine-grained level from a low level entry point. Hence, the package might also be of interest to people who are new to R. T...

This paper presents the results of research on the applicability of neural networks in the process of computer calibration of a microsimulation traffic model. VISSIM microsimulation model is used for calibration done at the example of roundabouts in an urban area. The calibration method is based on the prediction of a neural network for one traffic indicator, i.e. for the traveling time between...

Population ageing induces many challenges in the pension system of developed countries. It is necessary to support the decision-making processes regarding these challenges by forecasting different future scenarios. Long-term forecasts are required to understand the development process of the population and the pension system. The microsimulation approach has many benefits over other forecasting...

Model validation is recognised as crucial to microsimulation modelling. However, modellers encounter difficulty in choosing the most meaningful methods to compare simulated and actual values. The aim of this paper is to introduce and demonstrate a method employed widely in healthcare calibration studies. The ‘Bland-Altman plot’ consists of a plot of the difference between two methods against th...

Interim Reports on work of the International Institute for Applied Systems Analysis receive only limited review. Views or opinions expressed herein do not necessarily represent those of the Institute, its National Member Organizations, or other organizations supporting the work. Abstract This report is the second part of an investigation of the potential of dynamic microsimulation for modeling ...

INTRODUCTION When traffic microsimulation was first introduced commercially in the mid 1990s, it represented a significant advance in modelling. With its focus on vehicle behaviours and interactions on the network, and its ability to test scenarios and immediately see results through a virtual reality display, it was nothing short of a revolution. Since that time traffic microsimulation (hereaf...