基于支持向量机和TOPSIS的驾驶风格分类评判

Support Vector Machine and TOPSIS Based Driving Style Classification Judgment

不同驾驶风格对驾驶安全产生重要的影响,针对各类驾驶风格做出安全性综合评价,通过实车试验采集50名驾驶人的行车数据,结合专家对被试者驾驶风格的评判并利用支持向量机算法对驾驶风格进行分类,构建TOPSIS评价法对各类驾驶风格进行综合安全评估并提出建议。结果表明,支持向量机对驾驶风格分类结果准确率高达80.5%,保守型驾驶风格的安全性最高。

Different driving styles have an important impact on driving safety.A comprehensive evaluation of safety is made for each type of driving style.The driving data of 50 drivers were collected through real test,and the TOPSIS evaluation method was constructed to make a comprehensive safety evaluation of various driving styles by combining expert judgments on the driving styles of the subjects and using SVM algorithms to classify the driving styles and give advice.The results showed that support vector machine classification of driving style results with an accuracy of 80.5%,conservative driving style being the safest.