Testing safety of intelligent connected vehicles in open mixed road environment

Intelligent connected vehicles (ICV) are expected to bring immense societal benefits. For a safe introduction of such vehicles, a thorough safety assessment is required. Today, methods for such assessment are limited. The most efficient assessment is, however, anticipated to be through a combination of simulation and open-road testing. This is the focus of the purposed project which is a joint effort with a Chinese consortium. The project takes advantage of an advanced large-scale open test site in Shanghai to identify high-risk scenarios and develop risk assessment and mitigation methods. For these scenarios, the project will apply an iterative approach to design, demonstrate and assess the safety of ICV on open roads in mixed traffic. The ultimate goal is to develop safety assessment methods that are applicable to a large-scale and contribute to the accelerated deployment of ICV.  The project will go in parallel with a Chinese project that is led by Tongji University with partners from academia, institutes and industry. 

Within the project, we provide master thesis opportunities related to autonomous vehicle safety framework, targeted safety analysis on vehicles, roads, behaviors, interactions, etc. Research topics range from data-based safety analysis, explainable artificial intelligence, cooperative driving, simulation e.g., SUMO, Carla, etc. Feel free to contact us.