货车车险风控评分模型

货车车险风控评分模型整合车辆静态信息、高速动态行驶数据等多个维度国有交通大数据，采用机器学习立体化地对营运及非营运货车风险进行筛选，补充了传统车险所不具备的动态风险维度，对其风险高低进行精准评估，帮助车险相关企业快速识别及区分营运及非营运货车承保风险。

The commercial truck auto insurance risk control scoring model integrates state-owned transportation big data across multiple dimensions, including static vehicle information and highway dynamic driving data. Leveraging machine learning, it comprehensively screens for risks associated with both operating and non-operating commercial trucks, filling the gap of dynamic risk dimensions that traditional auto insurance does not encompass. It accurately assesses the risk levels of such trucks, enabling auto insurance-related enterprises to rapidly identify and differentiate underwriting risks for operating and non-operating commercial trucks.

搜集汇总

背景与挑战

背景概述

货车车险风控评分模型整合了车辆静态信息和高速动态行驶数据，采用机器学习对营运及非营运货车风险进行筛选和评估，帮助车险相关企业快速识别承保风险。该模型通过输入车辆车牌号、车架号信息即可得到风险评分，评分分为10个等级，评分越低赔付率越低。