Parking & urban mobility
Predict short-term parking availability from IoT signals and related urban data to support smarter mobility services.
Parking with IoT Predictive AnalyticsPreDICO turns expertise in mathematical modelling, machine learning and data analytics into decision-support tools for complex real-world settings.
PreDICO (Predictive Data Intelligence for Cities Optimization) is an innovative company and academic spin-off of the University of Naples Federico II. Its work focuses on designing and developing AI-driven predictive analytics, with applications for enterprises and public administrations.
Within the wider M.O.D.A.L. ecosystem, it represents a distinct channel for technology transfer: translating scientific know-how into solutions shaped by operational needs, data availability and deployment constraints.
Federico II · official academic spin-off profile ↗Examples of research-to-application directions described in PreDICO's official project portfolio.
Predict short-term parking availability from IoT signals and related urban data to support smarter mobility services.
Parking with IoT Predictive AnalyticsUse historical and organisational data to study patient demand, forecast workload and inform resource planning.
Predicting Management Healthcare OccupancyUnderstand visitor movements and preferences through data analysis to support more effective destination management.
Data Analytics for Tourism OptimizationExplore predictive approaches to resource use, efficiency and sustainability in smart urban and industrial settings.
Data Evolution for SusTainability InjectioNApplications and project descriptions: PreDICO official project portfolio ↗
According to its official profile, PreDICO combines mathematical models and predictive analytics with digital development capabilities, including software platforms, web and mobile applications.
Visit the company website ↗M.O.D.A.L. is the university research group advancing scientific methods, publications and training. PreDICO is a separate academic spin-off focused on technology transfer and application development.