基于机器学习的汽车驾驶行为分析与风险评估

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中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2025）10-0035-03

【Abstract】With the continuous growth of vehicle ownership，the problem of road traffic safety has become increasingly prominent.Traditional driving safety asessment methods basedon rules and post-analysis are dificult to realize real-timeand accurate perceptionandearly warning ofrisks.Therefore，this paper willstart with the influence mechanism ofdriving emotiononbehavior，and describe how touse theunderlying operatingdata collcted byvehicle CAN bus，inertial sensor and othercomponents，adriving risk assessment model basedonmachine learning is constructed to providea technical reference fortherealizationofamore efcient and intellgent driving safety assistance system.

【Key Words】driving behavior analysis; risk assessment; machine learning; feature extraction; model testin，

0 引言

车辆驾驶员在行驶过程中的驾驶状态与行为异常情况是道路交通事故产生的重要主观因素，具体包括情绪波动、过度疲劳、注意力不集中等，极易导致反应迟缓、判断错误、操作失误而引发较大的道路交通安全问题。（剩余3682字）