保险场景安全驾驶行为评估数据

这些驾驶行为数据主要应用于车险差异化定价、续保调整及驾驶员安全评估，收集目的是通过急刹、超速等具体指标量化驾驶风险，替代传统静态定价因素。这解决了传统“一刀切”定价导致的风险与保费不匹配、难识别高风险用户的问题，能帮助保险公司精准控制赔付成本，吸引低风险客户，提升利润和竞争力。This driving behavior dataset is primarily used for differentiated auto insurance pricing, policy renewal adjustment and driver safety assessment. It was collected to quantify driving risks via specific indicators such as hard braking and speeding, replacing traditional static pricing factors. This solves the problems of mismatch between driving risks and insurance premiums caused by the traditional 'one-size-fits-all' pricing, as well as the difficulty in identifying high-risk drivers. It can help insurance companies accurately control claim costs, attract low-risk customers, and improve profitability and competitiveness.

搜集汇总

背景与挑战

背景概述

该数据集包含基于行车记录仪采集的12项驾驶行为指标，通过标准化处理和权重分配生成风险评分，主要用于车险差异化定价和驾驶员安全评估。数据经过预处理和标准化处理，确保指标可直接计算，并剔除异常值，最终生成的风险评分分为五个等级，从超低风险到极高风险。