Publication

This project explored how positioning uncertainty can be modeled to improve the realism and safety relevance of traffic and connectivity simulations. The work focused specifically on GNSS-related uncertainty and developed a simplified proof of concept in the Artery simulation framework, combining the agent-based traffic simulation tool SUMO with the communication network simulator OMNeT++. Positioning errors were represented through Gaussian noise, drift, and outliers, which were applied to an emergency vehicle warning scenario in which inaccurate positioning can influence vehicle responses and ultimately, the effectiveness of the investigated service. The results show that even moderate positioning errors can significantly reduce service performance, increasing false alarms and missed alerts and thereby affecting both traffic efficiency and road safety. The study demonstrates that uncertainty-aware simulation is feasible and valuable for assessing connected mobility services under more realistic conditions. It also provides a basis for future research on larger-scale simulations, additional use cases, and mitigation strategies such as network-based relative positioning and integrated sensing and communication technologies.