Comprehensive Subjective–Objective Combined Performance Evaluation Methodology for Human–Machine Shared Steering Control System
In response to the inconsistency and lack of multidimensionality in existing evaluation methodologies for human–machine shared steering control (SSC) systems, an integrated approach that combines both objective and subjective evaluation methods is proposed. By analyzing the key subsystems within the SSC system, an objective evaluation method is developed, focusing on four critical dimensions: safety, reliability, comfort, and suitability. Specific indexes are defined to assess each dimension quantitatively, ensuring a systematic and comprehensive evaluation process. To complement the objective approach, a subjective evaluation method is formulated, addressing the same four dimensions. The subjective evaluation method incorporates weight coefficients for individual evaluation indexes; a detailed procedure for comprehensive evaluation is outlined, thereby enhancing the robustness and adaptability of the proposed framework. The effectiveness of the proposed methodology is validated through experimental trials and questionnaire surveys involving 32 drivers. The results demonstrate the feasibility of comparing the overall performance of different SSC systems using both objective and subjective evaluations. Furthermore, the strong consistency between the objective and subjective evaluation outcomes confirms the coherence, rationality, and practical suitability of the proposed approach, establishing its suitability for practical applications in SSC system assessment.
Authors
- Xueyun Li (ORCID: https://orcid.org/0000-0001-8439-6871)
- Xiaobing Chen (ORCID: https://orcid.org/0009-0006-4828-8404)
- Ke shanjun
- Luo longfei
- Guo Dong
- Wang Yiping
Institutions
- Wuhan University of Technology (CN)
- Hubei University of Automotive Technology (CN)
- Chongqing University of Technology (CN)
Publication Details
- Journal
- Transportation Research Record Journal of the Transportation Research Board
- Published
- 2026-11-06
- DOI
- https://doi.org/10.1177/03611981261493933
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00