Beatrice Borgogno
ALGORITHMS FOR MEASURING SAFETY BETWEEN VULNERABLE ROAD USERS AND AUTONOMOUS VEHICLES.
Rel. Marco Bassani, Silvia Anna Chiusano, Brunella Roberta Daniela Caroleo. Politecnico di Torino, Master of science program in Mathematical Engineering, 2023
Abstract
New driverless vehicles are about to be introduced on the roads. In some cities, public authorities are conducting tests to assess whether the circulation of autonomous vehicles (AVs) will lead to operational and safety issues. One of the main concerns regard the interaction between AVs and pedestrians, which requires attention and ability for pedestrians to interact correctly with driverless vehicles, and, on the other side, for driverless vehicles to detect pedestrians thus avoiding collisions. One common approach to studying safety conditions consists in carrying out a conflict analysis. Conflict is reached when the entities are close to collision. The latter is avoided by the execution of an evasive manoeuvre by at least one of the two conflicting moving entities.
This thesis deals with the activities conducted by the city of Turin as part of the European SHOW project
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