疑似营运车辆识别

为积极拓展交通数据的应用范围，有效识别车辆保险业务中普遍存在的“私家车跑营运”及“营业货车按非营业承保”现象，产品依托高速公路上车辆的通行记录，建立车辆画像标签数据。通过深度应用大数据分析与先进的机器学习技术，构建了营运车辆识别模型，精准捕捉并识别出标注为非营运但从事营运活动的车辆，从而提升车辆营运性质评估的精确性。

To actively expand the application scope of traffic data and effectively identify two common phenomena in the vehicle insurance business: "private cars operating for commercial purposes" and "commercial trucks being underwritten as non-commercial vehicles", this dataset relies on highway vehicle passage records to establish vehicle profile tag data. By comprehensively applying big data analysis and state-of-the-art machine learning technologies, a commercial vehicle identification model is constructed, which accurately captures and identifies vehicles labeled as non-commercial but actually engaged in commercial operations, thereby improving the accuracy of vehicle operational nature evaluation.