Simulation based safety assessment of autonomous vehicles

Automated Vehicles (AV) that are currently being developed, have to be assessed whether they are able to conform to the general traffic rules and whether they can ensure functional, behavioral safety during their operation. However, physical testing on the road or on a test circuit has several limitations including the potential risk of causing damage to life and property. This brings out the need for scenario-based virtual testing of critical situations that can be reproduced in a realistic simulation environment, where the AV software can be allowed to operate independently in different conditions. The work in this thesis focuses on developing a co-simulation framework which connects a third-party driver model to another simulation environment. Safety is analyzed by recording the vehicle behaviour data using simulations and calculating some crucial parameters. For different configurations of the afore-mentioned, the simulation data is analyzed.Master of Science (Computer Control and Automation