华南理工大学学报（自然科学版）2025，Vol.53Issue(6)：66-76,11.DOI:10.12141/j.issn.1000-565X.240243
驾驶性主客观综合评价方法在起步工况下的应用
Application of Subjective and Objective Comprehensive Evaluation Method of Drivability in Starting Conditions
摘要
Abstract
To improve the accuracy and reliability of the drivability evaluation method,this study proposed a sub-jective and objective comprehensive evaluation method integrating the Extreme Gradient Boosting(XGBoost)algo-rithm,the Sparrow Search Algorithm(SSA)and the Shapley Additive Explanations(SHAP).Focusing on vehicle starting conditions,the study defined nine objective evaluation indicators to refine the drivability assessment system for vehicle start-up performance.A bidirectional mapping model between objective metrics and subjective scores was established using the XGBoost algorithm.To avoid local optima in the drivability evaluation model,the SSA was employed to efficiently optimize the core hyperparameters of XGBoost,thereby enabling the model to iteratively self-improve as the dataset expands.Finally,the SHAP was used to attribute the features of the mapping model,quantify the influence weight of objective evaluation indicators on the evaluation of drivability,and construct a com-prehensive evaluation model of drivability with prediction accuracy,stability and interpretability.The proposed method was validated through multiple road tests that incorporate both domestic and international mainstream driv-ability evaluation frameworks.Comparative analysis shows that the proposed model outperforms mainstream ap-proaches such as BP neural networks,random forests,and extreme learning machines(ELMs)in terms of MAE(Mean Absolute Error),RMSE(Root Mean Square Error),and the coefficient of determination.The mapping accu-racy is significantly improved,and the method's interpretability makes it a valuable reference for integrating subjec-tive and objective assessments in drivability evaluation.关键词
驾驶性/起步工况/评价方法/极限梯度提升算法/沙普利解释算法Key words
drivability/starting condition/evaluation method/limit gradient lifting algorithm/Shapley additive explanations分类
交通工程引用本文复制引用
吴飞,孙现魁,王鹏程..驾驶性主客观综合评价方法在起步工况下的应用[J].华南理工大学学报（自然科学版）,2025,53(6):66-76,11.基金项目
国家自然科学基金项目(52275505)Supported by the National Natural Science Foundation of China(52275505) （52275505）
