Study on the Test Scenarios of Level 2 Automated Vehicles

Testing in the closed field is one of the important means to verify the features and performance of automated vehicles. Due to the complicated and changeable traffic conditions, how to design the testing scenarios with relatively few number but significant value is a problem that deserves research. We analyze the features of the Level 2 automatic driving production models in the market. Based on the applicable scenarios of the main functions such as adaptive cruise control, active lane changing control and active lane keeping control for automated vehicles, the relative location among the ego-vehicle and its surrounding obstacle vehicles are permutated and combined to form a vehicle combination groups, and then for each vehicle combination, the directions of motion of the ego-vehicle and obstacle vehicles are arranged and combined to obtain a possible test scenarios groups. Based up the test scenario generated by the combination of the ego-vehicle and the obstacle vehicles, the valuable and simple primary test scenario is generated through the analysis of the scenario importance, and then an obstacle vehicle is added to form the new scenario of higher level. The valuable test scenarios with various levels are screened out by analyzing the new impacts of detection and response of the ego-vehicle exerted by the movement of the obstacle vehicles and evaluating the importance of the scenarios. Finally, total test scenario groups with test significance is obtained. The validity of this method is verified, and a test case for parameter design is given in the paper.