摘要
为构建具有良好泛化性和可解释性的重型货车驾驶人驾驶风险评估体系,本文基于云南省重型货车轨迹数据,首先,构建涵盖驾驶风格风险、疲劳风险和驾驶环境风险三个方面的驾驶风险评估指标;其次,采用皮尔逊相关性分析,从初始驾驶风险评估指标中筛选出43个关键指标;最后,基于CRITIC赋权法获取各类指标的特征权重,提出重型货车驾驶人驾驶风险评估方法。结果表明:驾驶风格风险得分在30分以下的占比约82.16%,可见大多数高原山区重型货车驾驶人驾驶风险评估值较低;疲劳风险评估显示42.3%的样本得分低于12分,反映出云南省内重型货车驾驶人较少进行长途运输,连续长时间驾驶的情况较少;驾驶环境风险评估值在15~35分范围内分布最密集,占比为75.46%,表明货物运输主要依赖于风险较高的干线公路。
To construct a driving risk assessment system for heavy goods vehicle drivers with good generalization and interpretability,based on trajectory data from heavy goods vehicle in Yunnan Province,this paper establishes driving risk assessment indicators covering driving style risk,fatigue risk,and driving environment risk.It then uses Pearson correlation analysis to select 43 key indicators from the initial set of driving risk assessment indicators.Lastly,by applying the CRITIC(criteria importance though intercriteria correlation)empowerment method to determine characteristic weights of various indicators,it proposes a method for assessing the driving risk of heavy goods vehicle drivers.The findings indicate that approximately 82.16% of drivers have driving style risk scores below 30 points,suggesting that the majority of heavy goods vehicle drivers in high-altitude mountainous areas have low risk assessment values.The fatigue risk assessment reveals that 42.3% of samples score below 12 points,indicating that heavy goods vehicle drivers in Yunnan Province engage less frequently in long-distance transportation,with fewer instances of continuous long-duration driving.The driving environment risk assessment is most densely distributed in the 15 to 35 points range,accounting for 75.46%,which suggests that cargo transportation mainly depends on riskier arterial roads.
作者
覃文文
臧津延
鄢祺阳
刘云贵
杨震
吴云鹏
QIN Wen-wen;ZANG Jin-yan;YAN Qi-yang;LIU Yun-gui;YANG Zhen;WU Yun-peng(Faculty of Transportation Engineering,Kunming University of Science and Technology,Kunming 650504,China;Chongqing Top-Tech Information Co.,Ltd.,Chongqing 400000,China)
出处
《吉林大学学报(工学版)》
2025年第11期3614-3622,共9页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(72461015)
云南省重大科技专项计划项目(202502AD080006)
云南省基础研究计划面上项目(202401AT070409)
云南省教育厅科学研究基金项目(2025J0086)
云南省研究生导师团队建设项目(2024)
云南省“兴滇英才支持计划”青年人才专项项目(2024).
关键词
交通安全
重型货车
驾驶风险量化
赋权法
相关性分析
traffic safety
heavy goods vehicle
quantifying driving risks
empowerment method
correlation analysis
