PhD Course - From Data to Digital Twin for Smart Mobility

Submitted by admin on Thu, 07/11/2024 - 10:25

Nowadays a huge portion of the population lives in urban areas, and projections indicate that most of the cities are going to confront a growing urban population in the next few years. This undoubtedly poses new challenges, particularly in the mobility sector: public transport planning, traffic congestion, parking availability, and produced pollution, are some exemplar problems that city councils and stakeholders must address to guarantee citizens a high quality of life. To respond to such issues, this course will present data kinds and standards to gather mobility-related information, analytic methods to perform reconstructions and predictions, interfaces to present results and insights, as well as system architectures, to arrive at the construction of a full urban digital twin.

This course is part of the PhD Program in Information Engineering of the University of Florence (https://informationengineering.dinfo.unifi.it/).

Total time: 12 hours

Lecturers:

Lessons:

  1. Data for Mobility, 3 hours, [slide]
  2. Traffic Flow Reconstruction, 3 hours, [slide]
  3. Environmental applications for TFR, 3 hours, [slide]
  4. Smart City Digital Twin, 3 hours, [slide]