新能源驾驶行为分析数据集

新能源车驾驶行为分析数据集融合了岳阳市居民的高速出行、新能源车辆充电等多个维度的出行数据，进行融合计算，构建新能源车驾驶行为分析模型。
支持对外服务，一方面可基于新能源小轿车在车辆充电、高速出行等场景的出行数据输出车辆驾驶行为风险评估结果，在获得用户授权的条件下，辅助保险机构了解新能源车出行风险，制定更客观的车险定价服务。另一方面，可进一步结合其他数据，为产品营销、提升客户体验等维度进行应用。

The new energy vehicle (NEV) driving behavior analysis dataset integrates multi-dimensional travel data covering highway travel and new energy vehicle charging activities from residents in Yueyang City, and conducts fused computation to construct a NEV driving behavior analysis model. The dataset supports external services: on one hand, based on the travel data of new energy passenger vehicles in scenarios such as vehicle charging and highway travel, it can output vehicle driving behavior risk assessment results. With user authorization, it can assist insurance institutions in understanding the travel risks of NEVs and provide support for formulating more objective auto insurance pricing schemes. On the other hand, it can further combine with other data to enable applications in dimensions such as product marketing and customer experience improvement.

搜集汇总

背景与挑战

背景概述

该数据集整合了岳阳市居民的高速出行和新能源车辆充电等多维度数据，通过融合计算构建驾驶行为分析模型。它主要用于评估新能源小轿车的驾驶风险，辅助保险机构优化车险定价，并可结合其他数据支持产品营销和客户体验提升。