基于机器学习技术的驾驶行为风险智能评估模型研究  

Research on intelligent assessment model for driving behavior risk based on machine learning technology

作　　者：李长琪 Li Changqi(Shandong Polytechnic College,Jining 272000,China)

机构地区：[1]山东理工职业学院,山东济宁272000

出　　处：《汽车知识》2025年第2期87-90,共4页AUTOMOTIVE KNOWLEDGE

摘　　要：许多研究表明,危险驾驶行为习惯是造成交通事故的主要原因,构建合理高效的驾驶行为风险评估模型,是提高驾驶安全性和可靠性的有力保障。本文基于机器学习技术,通过收集和分析驾驶行为数据,对模型进行不断训练和优化,构建驾驶风险智能评估模型,实现对驾驶行为的实时监测和风险评估,提高驾驶行为的风险评估水平,为相关的安全决策提供有力支持。Many studies have shown that dangerous driving habits are the main cause of traffic accidents.Build-ing a reasonable and efficient risk assessment model of driving behavior is a powerful guarantee to improve driving safety and reliability.Based on machine learning technology,this paper collects and analyzes driving behavior data,continuously trains and optimizes the model,and constructs an intelligent evaluation model of driving risk,so as to realize real-time monitoring and risk assessment of driving behavior,improve the risk assessment level of driving behavior,and provide strong support for relevant safety decisions.

关 键 词：机器学习 驾驶风险 智能评估 模型 算法 

分 类 号：U471.1[机械工程—车辆工程]