疑似网约车识别

为响应网约车“双证合规”安全监管工作的要求，利用机器学习模型，“精准”筛查以非营运使用性质从事营运行为的可疑新能源车辆，赋能交警对交通违法行为的精准打击和金融行业的反欺诈识别等领域工作。

To meet the safety supervision requirements for the "dual-certificate compliance" of online car-hailing services, this dataset leverages machine learning models to accurately screen suspicious new energy vehicles (NEVs) that are registered for non-operating use but engaged in commercial ride-hailing operations, empowering traffic police to precisely crack down on traffic violations and supporting anti-fraud identification work in the financial industry and other relevant fields.

搜集汇总

背景与挑战

背景概述

该数据集名为'疑似网约车识别'，主要用于通过机器学习模型筛查可疑新能源车辆，支持网约车'双证合规'安全监管工作。数据覆盖沪牌新能源汽车，每月更新，应用场景涵盖金融服务、交通运输和城市治理。