A Comparative Study of Multiple Vehicle Models Based on C-NCAP Active Safety Test Data

To thoroughly mine test data, break down information barriers among automakers, enhance domestic vehicle safety technologies, and reduce road traffic accidents, this paper conducts a three-dimensional analysis of massive test datasets. The study focuses on the 2021 and 2024 versions of the C-NCAP protocols, covering full-overlap, partial-overlap, and newly added scenarios, thereby constructing a multi-level, multi-dimensional data analysis framework. Different versions of test protocols inevitably exhibit both continuity and updates over time. By analyzing the test results, significant performance differences among various vehicle models were identified in scenarios involving high speeds, turning maneuvers, and intersections. This work provides a comprehensive demonstration of diverse vehicle operating conditions and holds substantial research value. This paper fully demonstrates the active safety performance of different vehicle models and offers new research insights for the updating and iteration of the C-NCAP protocols.