Abstract: With an increasing popularity of intelligent connected vehicles, it is urgent to sort out their safety risk factors during driving. In this paper, SHELL model is applied to the intelligent connected vehicle field, and 22 driving risk factors of intelligent connected vehicles are sorted out according to the human-vehicle-environment-software architecture system. The risk matrix method and Borda order value method are introduced to comprehensively analyze and evaluate the driving safety of intelligent connected vehicles. Through case analysis, nine risk severity levels are obtained and corresponding countermeasures are given, which provides relevant basis for vehicle development, operation and safety design.