Thesis Code: 25002

Thesis Type: M.Sc. thesis in Computer Engineering / M.Sc. thesis in ICT for Smart Societies / M.Sc. thesis in Mobility Engineering / M.Sc. thesis in Civil Engineering / M.Sc. thesis in Mathematical Engineering / equivalent

Research Area: Future Cities & Communities (FCC)

Description

The rise of autonomous driving technologies and their integration into urban mobility systems are transforming the transportation landscape, posing both opportunities and challenges for researchers, policymakers, and industry stakeholders.

This thesis aims to address two key aspects of autonomous driving simulation: (i) comparative analysis of autonomous driving simulators; (ii) co-simulation framework development.

The thesis will evaluate different autonomous driving simulators (e.g. CARLA and its competitors, preferably open-source solutions). The comparison will focus on critical aspects such as simulation realism, scalability, adaptability for different scenarios, integration with external traffic simulators, and ease of use.

The thesis will explore co-simulation approaches involving the traffic simulator SUMO and the autonomous driving simulator CARLA, as well as SUMO and competitors of CARLA. This includes synchronization of traffic flows between SUMO and the autonomous driving simulator; integration of real-world data into the co-simulation for enhanced fidelity; testing autonomous driving algorithms in mixed traffic scenarios using the developed co-simulation framework.

The thesis will provide insights into the strengths and limitations of different simulators and co-simulation configurations, offering guidelines for their application in the study and development of autonomous driving solutions.

The thesis will be carried out jointly between the Politecnico di Torino (Department of Control and Computer Engineering – DAUIN and Department of Environment, Land and Infrastructure Engineering – DIATI), Fondazione LINKS (‘Future Cities & Communities’ Research Domain), and Tecnocad (TC Autonomous, the division dedicated to advanced autonomous driving solutions in passenger transport).

Requirements:

  • Interest in autonomous driving technologies and traffic simulation tools
  • Interest in transport models and planning
  • Experience with data analysis and simulation platforms
  • Experience with Python and main programming languages
  • Interest in using Geographic Information Systems (GIS)
  • Ability to critically interpret analytical results
  • Strong analytical and critical thinking skills

Contact: send a resume with attached the list of exams to maurizio.arnone@linksfoundation.com specifying the thesis code and title.