In the last years, the digitalization of cities is becoming a reality. In the frame of the urban mobility, we pursue creating a digital twin of the public transport network. Digital twins help anticipate, think ahead, and plan ahead, leading to a better planned, safer, and more trustworthy transportation network.
We currently focus our effort in extracting the real-time passenger flows in the transport network. The use of this traffic flows leads to avoiding bottlenecks and the creation of what-if scenarios, which improve safety of passengers.