Thesis Code: 19015
Thesis Type: M.Sc. thesis in Environment, Land and Infrastructure Engineering, Data Science, Mathematical Engineering, Mathematics, or equivalent

Research Area: Urban Mobility & Logistic Systems


  • Experience with main programming languages (Python, C/C++)
  • Interest in algorithms
  • Ability to critically interpret analytical results

The extra-urban public transport services currently in operation are often the result of a planning designed to meet the needs of an outdated mobility demand that is very different from today’s one, since it was characterized by a strong prevalence of systematic travels and a well-defined profile outlined during the day. Today the demand has become much more complex and articulated than once -in terms of travel reasons, schedules and routes- and requires a continuous service during the day, capable of providing “the guarantee of return”. The current transport service does not adequately respond to these new needs.
The student will have to study the electronic ticketing data (BIP) of the extra-urban services of the Cuneo area, understand how the users of public transport move in the territory, and study and develop a Python algorithm able to simulate the conversion of the entire extra-urban public transport service in demand-based service (i.e. on-call service), able to customize the offer according to the real needs of the user.
The thesis will also address the estimate and the assessment of the economic impacts of such services on companies and users.

Contact: send a resume with attached the list of exams to specifying the thesis code and title.