新能源汽车路面运行风险数据库

主要面向新能源汽车路面运行风险研判研究，基于新能源汽车“三电”预警数据和路侧卡口轨迹数据，收集极端行车环境、复杂道路条件和异常交通状态下车辆行驶状态数据，利用机器学习算法研判出车辆追尾、碰撞、翻车、动力丧失、动力不足、失控、火灾风险。数据量46.5KB。This dataset is primarily designed for research on road operation risk assessment of new energy vehicles. It leverages the early warning data of the three core systems (battery, motor, and electronic control system) of new energy vehicles and road-side traffic checkpoint trajectory data, and collects vehicle driving state data under extreme driving environments, complex road conditions and abnormal traffic states. Machine learning algorithms are applied to identify and assess various risks including vehicle rear-end collision, collision, rollover, power loss, insufficient power, out of control, and fire risks. The total size of the dataset is 46.5 KB.

搜集汇总

背景与挑战

背景概述

该数据库旨在支持新能源汽车路面运行风险研判研究，通过整合车辆'三电'预警与路侧卡口轨迹数据，采集多种行车条件下的行驶状态信息。利用机器学习算法，可识别追尾、碰撞、翻车等车辆运行风险，数据规模为46.5KB。