Digital Training Platform for Comprehensive Traffic Simulation

Abstract

The paper deals with the development of software for traffic flow simulation combining the widest spectrum of mathematical approaches used in this field. Macro- and microscopic models, models of cellular automata as well as different numerical methods of their computer implementation are incorporated into a digital platform. Original developments of the authors of the paper such as quasi-gas dynamic traffic model and multilane cellular automata model take the main place. Potential users of the software are students and researchers. The platform possesses an intuitive graphical interface ensuring interactivity. Microsoft Visual Studio with C# is chosen as the development environment, the Unity 3D engine is employed for visualization and collaboration with WinForm projects. In the future, the platform can be transformed into a network computer laboratory providing access to information resources via Internet.

Cybersecurity of Cyber Ranges: Threats and Mitigations

“…Digital training platforms have been studied by e.g. Jianqi [12] with the focus on training digitization and networking and Chechina et al [13] who use it for traffic flow simulation. The aims and purposes of these environments vary, but this study focuses on platforms and services that are focused on cybersecurity training and therefore the primary focus is on CRs since according to the existing literature testbeds and digital training platforms are used for more focused topics that may support network or information security, but not cybersecurity as a whole.…”