内河无人驾驶船舶航行安全状况指标体系研究

doi:10.16265/j.cnki.issn1003-3033.2019.05.018

中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (5): 105-110.doi: 10.16265/j.cnki.issn1003-3033.2019.05.018

内河无人驾驶船舶航行安全状况指标体系研究

张威¹, 张庆年¹ 教授, 杨杰² 教授, 涂敏¹ 副教授, 丛喆¹, 杨玉梅¹

1 武汉理工大学交通学院,湖北武汉460063;
2 武汉理工大学信息工程学院,湖北武汉 430070

收稿日期:2019-01-10 修回日期:2019-03-22
作者简介:张威(1995—),男,湖北咸宁人,硕士研究生,主要研究方向为交通运输安全、交通与物流系统优化。E-mail:353976795@qq.com。
基金资助:
国家自然科学基金资助(51879211)。

Research on index system for inland unmanned ships navigation safety status

ZHANG Wei¹, ZHANG Qingnian¹, YANG Jie², TU Min¹, CONG Zhe¹, YANG Yumei¹

1 School of Transportation, Wuhan University of Technology, Wuhan Hubei 430063, China;
2 School of Information Engineering, Wuhan University of Technology, Wuhan Hubei 430070, China

Received:2019-01-10 Revised:2019-03-22

摘要/Abstract

摘要： 为合理构建内河无人驾驶船舶航行安全状况指标体系,首先根据指标选取原则收集反映内河无人驾驶船舶航行安全状况的特征指标;然后运用熵理论和改进相关系数法按重要度和全局相关性筛选指标,剔除有效信息含量少和信息重叠度高的指标;最后基于熵理论提出指标体系整体辨识度概念,检验指标体系的合理性。结果表明:该体系不仅综合考虑了影响内河无人船航行安全状况的各个因素,而且提升了指标筛选效率;得到的指标体系整体辨识度大于0.8,说明建立的指标体系能够很好地反映内河无人驾驶船舶的安全状况特征。

关键词: 内河无人船, 航行安全状况, 整体辨识度, 改进相关系数法, 熵理论, 指标筛选

Abstract: In order to construct the indicator system for inland unmanned ships navigation safety scientifically, the characteristic indicators reflecting the safety status of inland unmanned ships were collected according to the principle of selection of indicators. Then the entropy theory and the improved correlation coefficient method were used to screen indicators based on the importance and global correlation, and to eliminate indicators with less effective information and high information overlap. Finally, the concept of overall identification of the index system was proposed based on the entropy theory to verify the rationality of the established index system. The results show that the above research idea can comprehensively consider the various factors influencing inland unmanned ship navigation safety and improve efficiency of indicator screening, and that the value of indicator system overall identification is greater than 0.8, which indicates that the established indicator system is good.

Key words: inland unmanned ships, navigation safety status, overall identification, improved correlation coefficient method, entropy theory, indicator screening

中图分类号:

X951

张威, 张庆年, 杨杰, 涂敏, 丛喆, 杨玉梅. 内河无人驾驶船舶航行安全状况指标体系研究[J]. 中国安全科学学报, 2019, 29(5): 105-110.

ZHANG Wei, ZHANG Qingnian, YANG Jie, TU Min, CONG Zhe, YANG Yumei. Research on index system for inland unmanned ships navigation safety status[J]. China Safety Science Journal, 2019, 29(5): 105-110.

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内河无人驾驶船舶航行安全状况指标体系研究

Research on index system for inland unmanned ships navigation safety status

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