基于CRITIC法的灰色关联理论在无人驾驶车辆测试评价中的应用

Application of Grey Correlation Theory Based on CRITIC Method in Autonomous Vehicles Test and Evaluation

合理的测试场景和科学客观的评价方法能促进无人驾驶技术的快速发展,但目前无人驾驶车辆定量评价方法中仍需要一定人为参与,导致评价结果存在较强的主观性。利用层次分析法(Analytic hierarchy process, AHP)与基于层间相关性的客观赋权法(Criteria importance though intercrieria correlation, CRITIC)确定评价指标权重,采用灰色关联理论评价方法对车辆进行定量评价。试验结果表明灰色关联理论评价方法与传统模糊综合评价法的评价结果具有较高的一致性,同时降低了评价方法主观性和实际应用中企业邀请大量专家参与评价的成本。

Reasonable test scenarios and objective evaluation methods could rapidly promote the development of autonomous technology, but the current quantitative evaluation methods of autonomous vehicles still need some human participation, which led to the strong subjectivity of the evaluation results. The analytic hierarchy process(AHP) and the criteria importance though intercriteria correlation(CRITIC) were utilized to determine the weight of evaluation index, and the grey correlation theory was implemented to evaluate the vehicle quantitatively. The experimental results shown that the evaluation results of the grey correlation theory and the traditional fuzzy comprehensive evaluation method had high consistency. Meanwhile, the proposed methodology reduced the subjectivity and saved the cost of inviting a large number of experts to participate in the evaluation.