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 the two common phenomena in vehicle insurance business, namely "private cars engaging in commercial operations" and "commercial trucks being insured under non-commercial coverage", this product constructs vehicle profile tag datasets based on vehicle passing records collected on expressways. By deeply applying big data analysis and advanced machine learning technologies, a commercial vehicle identification model is developed, which accurately captures and identifies vehicles labeled as non-commercial but actually engaged in commercial operations, thereby enhancing the accuracy of vehicle operational nature assessment.

搜集汇总

背景与挑战

背景概述

该数据集名为“疑似营运车辆识别”，由浙江之江智能交通科技有限公司提供，主要利用高速公路通行记录，通过大数据分析和机器学习技术构建识别模型，精准捕捉标注为非营运但实际从事营运活动的车辆（如“私家车跑营运”和营业货车错误承保），旨在提升车辆营运性质评估的精确性，服务于车辆保险业务的风险管理。数据覆盖浙江高速公路上的车辆，存储大小为100GB，为静态数据集。