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基于灰色关联-AHP-TOPSIS的山区公路交通事故严重程度影响因素评价

Evaluation of Influencing Factors of Highway Traffic Accident Severity in Mountain Areas Based on Grey Correlation-AHP-TOPSIS
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摘要 为了定量分析山区公路交通事故严重程度的主要影响因素,根据贵州省山区公路的交通事故资料,对历史事故数据进行定量化描述,以事故造成的路产损失、死亡人数、受伤人数以及通行状况作为判断事故严重程度的指标。通过计算灰色关联度改进传统的层次分析法确定影响因素的权重,利用TOPSIS法计算各影响因素在4个指标下的综合评价值。研究结果表明,山区公路交通事故严重程度强相关影响因素为桥隧路段、路面状况以及碰撞类型。 In order to quantitatively analyze the main factors affecting the severity of highway traffic accidents in mountain areas,according to the data of mountainous highway traffic accidents in Guizhou province,the historical accident data are described quantitatively,and the road property loss,the number of deaths,the number of injuries and traffic conditions caused by the accident are taken as the indicators to judge the severity of the accident.The traditional analytic hierarchy process is improved by calculating the grey correlation degree to determine the weight of influencing factors,and TOPSIS method is used to calculate the comprehensive evaluation value of influencing factors under the four indexes.The results show that the influential factors of traffic accident severity are bridge and tunnel sections,pavement conditions and collision types.
作者 马汧汧 李为为 杨欣怡 谢汛 MA Qianqian;LI Weiwei;YANG Xinyi;XIE Xun(College of Traffic&Transportation,Chongqing Jiaotong University,Chongqing 400074,China)
机构地区 重庆交通大学
出处 《微型电脑应用》 2023年第6期103-106,共4页 Microcomputer Applications
关键词 山区公路 交通事故 灰色关联-AHP-TOPSIS模型 影响因素评价 mountainous highway taffic accident grey correlation-AHP-TOPSIS model evaluation of influencing factors
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