The CROSSCON is a research project that targets developing research ideas into practical techniques and supporting prototypes, and the level of ambition is to validate results in lab conditions that are representative of a complex IoT system (i.e., technology readiness levels TRL 4 and TRL5).

Following the Industry 4.0 vision of a full digitization of the industry, time-critical services and applications, allowing network infrastructures to deliver information with determinism and reliability, are becoming more and more relevant for a set of vertical sectors.

A proposal for a predictive analysis model for bike-sharing systems based on a mixed model of statistical and machine-learning approaches.The model assumes a Poisson distribution on bike station arrival and departures.