汽车保险中车联网大数据智能分析及应用

Intelligent analysis and application of big data of vehicle interconnection in vehicle insurance

借助车联网收集了汽车相关的各种大数据以及AEW-AHP算法,对用户驾驶行为、出行习惯、行车环境等进行大数据分析,找出对于汽车出现保险赔付的关键影响因素。基于此,作为汽车保险中进行责任判定的数据基础,识别了汽车保险欺诈行为,降低了保险公司的损失。本文给出了相关的系统架构、数据收集过程、关键业务流程、主要分析算法等内容,并通过实际案例,分享了实际的实施效果。

In this paper,various large data related to automobile are collected with the help of the vehicle network.With the help ofAEW-AHPalgorithm,a large data analysis is carried out on the user's driving behavior,travel habits,driving environmentand so on to find out the key factors affecting the insurance compensation for the.vehicle.