Subjective assessment for an advanced driver assistance system: A case study in China

Abstract

Purpose - This study aims to propose a novel subjective assessment (SA) method for level 2 or level 21 advanced driver assistance system (ADAS) with a customized case study in China. Design/methodology/approach - The proposed SA method contains six dimensions, including perception, driveability and stability, riding comfort, human-machine interaction, driver workload and trustworthiness and exceptional operating case, respectively. And each dimension subordinates several subsections, which describe the corresponding details under this dimension. Findings - Based on the proposed SA, a case study in China is conducted. Six drivers with different driving experiences are invited to give their subjective ratings for each subsection according to a predefined rating standard. The rating results show that the ADAS from Tesla outperforms the upcoming electric vehicle in most cases. Originality/value - The proposed SA method is beneficial for the original equipment manufacturers developing related technologies in the future.