基于TOPSIS与灰色关联的危货车辆违规报警研究

doi:10.3969/j.issn.1674-0696.2021.07.09

重庆交通大学学报（自然科学版） ›› 2021, Vol. 40 ›› Issue (07): 61-66.DOI: 10.3969/j.issn.1674-0696.2021.07.09

• 交通+大数据人工智能 • 上一篇下一篇

基于TOPSIS与灰色关联的危货车辆违规报警研究

李升朝，吴越，白雪萌，王玥，张海

(长安大学经济与管理学院，陕西西安 710064)

收稿日期:2019-11-01 修回日期:2020-02-06 出版日期:2021-07-12 发布日期:2021-07-23
作者简介:李升朝（1968—），男，汉，陕西合阳人，副教授，主要从事交通运输行政管理、交通运输企业管理方面的研究。E-mail：190758419@qq.com 通信作者：吴越（1996—），女，陕西铜川人，硕士研究生，主要从事交通运输工程方面的研究。E-mail：2549154464@qq.com
基金资助:
陕西省道路运输管理局专题研究课题项目（SNJZ—2017—166）；陕西省社科界重大理论与现实问题研究项目（2019Z194）

Violation Alarm of Dangerous Goods Vehicle Based on TOPSIS and Gray Correlation

LI Shengchao, WU Yue, BAI Xuemeng, WANG Yue, ZHANG Hai

(School of Economics and Management, Changan University, Xian 710064, Shaanxi, China)

Received:2019-11-01 Revised:2020-02-06 Online:2021-07-12 Published:2021-07-23

摘要/Abstract

摘要： 为定量评估道路危货车辆运输违规情况，采用熵权法计算权重，TOPSIS法对各月指标进行宏观纵向排序，灰色关联分析法横向分析子序列与母序列关联程度，从而建立一个综合评价模型，并以陕西省道路危货车辆运输违规情况进行实证研究。结果表明：通过陕西省政府和企业监管力度加大，较好的规范了危险品道路运输操作，违规报警次数整体上呈现递减趋势，安全性逐步提升。所监测各子序列与母序列关联程度都较大，其中，疲劳驾驶对报警影响最大，离线位移影响最小。根据研究结果提出改进建议，降低道路危货车辆运输违规操作次数，提高道路危险货物运输安全性。

关键词: 交通运输工程, 危险品运输, 违规操作, 熵权法, TOPSIS, 灰色关联分析

Abstract: In order to quantitatively evaluate the traffic violations of road dangerous goods vehicles, the entropy weight method was used to calculate the weight the TOPSIS method was use to perform a macroscopic and vertical ranking of the indicators of each month and the gray correlation analysis method was used to horizontally analyze the degree of association between subsequences and parent sequences. Thus, a comprehensive evaluation model was established. An empirical study was conducted on the violation of road dangerous goods vehicles in Shaanxi Province. The results show that through the increase of the supervision of Shaanxi provincial government and enterprises, the operation of dangerous goods road transportation has been well standardized and the number of violation alarms shows a decreasing trend on the whole, and the safety is gradually improved. The sub-sequences monitored have a high degree of correlation with the parent sequences. Among them, fatigue driving has the greatest impact on the alarm and the offline displacement has the least influence. According to the research results, suggestions for improvement are proposed to reduce the number of illegal operation of road dangerous goods vehicles and improve the safety of road dangerous goods transportation.

Key words: traffic and transportation engineering, dangerous goods transportation, illegal operation, entropy weight method, TOPSIS, grey correlation analysis

中图分类号:

U491.31

李升朝，吴越，白雪萌，王玥，张海. 基于TOPSIS与灰色关联的危货车辆违规报警研究[J]. 重庆交通大学学报（自然科学版）, 2021, 40(07): 61-66.

LI Shengchao, WU Yue, BAI Xuemeng, WANG Yue, ZHANG Hai. Violation Alarm of Dangerous Goods Vehicle Based on TOPSIS and Gray Correlation[J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 61-66.

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基于TOPSIS与灰色关联的危货车辆违规报警研究

Violation Alarm of Dangerous Goods Vehicle Based on TOPSIS and Gray Correlation

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