A Digital Twin for Bus Operation in Public Urban Transportation Systems

Advances in technology, jointly with technology transfer and the digital transformation is leading to a new industrial revolution where digitalization enables the improvement of production and safety as well as operational effectiveness by monitoring, diagnosing and correcting process flaws. In this work, we propose a Digital Twin (DT) of a public transportation system in Badalona (Spain) for obtaining in depth understanding of the bus dynamics. We use a genetic algorithm for finding the most suitable configurations for simulating the traffic in a city based on real data. Results show that the proposed DT accurately reproduces the real traffic, the bus schedule and that it easily adapts to possible anomalies.