机车司机驾驶疲劳风险动态量化评价研究

doi:10.16265/j.cnki.issn1003-3033.2017.02.004

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (2): 18-23.doi: 10.16265/j.cnki.issn1003-3033.2017.02.004

机车司机驾驶疲劳风险动态量化评价研究

李响¹ 讲师, 徐玉萍¹ 教授, 章海亮² 副教授

1 华东交通大学交通运输与物流学院, 江西南昌 330013
2 华东交通大学电气与自动化工程学院, 江西南昌 330013

收稿日期:2016-11-01 修回日期:2016-12-18 出版日期:2017-02-28 发布日期:2020-11-22
作者简介:李响 (1982—),男,江西九江人,博士,讲师,主要从事轨道交通运行安全控制工程方面的研究。E-mail: lixiang@ecjtu.edu.cn。
基金资助:
国家自然科学基金资助(61565005);教育部高校人文社科规划基金资助(15YJAZH091)。

A study on dynamic quantitative evaluation of train driver's fatigue risk

LI Xiang¹, XU Yuping¹, ZHANG Hailiang²

1 College of Transportation and Logistics, East China Jiaotong University, Jiangxi Nanchang 330013, China
2 School of Electrical and Automation Engineering, East China Jiaotong University, Jiangxi Nanchang 330013, China

Received:2016-11-01 Revised:2016-12-18 Online:2017-02-28 Published:2020-11-22

摘要/Abstract

摘要： 针对驾驶疲劳致因的多元性和动态性,提出一种铁路机车司机疲劳风险多指标动态评价方法。充分考虑了多方面时变因素对司机驾驶疲劳的动态影响,构建更为合理的评价指标体系;研究相关时变因素指标的客观量化方法,以提高指标取值的准确性;为降低主观因素对多指标赋权的影响,借助改进层次分析法(IAHP)建立综合评价模型,进而实现机车司机在不同作业时段下疲劳风险的动态量化评价。实例分析结果表明,用该方法所得的疲劳风险动态曲线与机车司机的实际作业情况及其疲劳自评量表得分相符。

关键词: 机车司机, 驾驶疲劳, 动态量化, 风险评价, 改进层次分析法(IAHP)

Abstract: In view of the diversity and variabilityof driver fatigue causes, a multi index dynamic evaluation method of train driver's fatigue risk was developed. With fully considering the dynamic effects of various time-varying factors on the train driver's fatigue, a more reasonable evaluation indexes system was established. And the objective quantification methods of correlative time-varying factors were studied to improve assigning values to the indexes. In order to reduce the influences of subjective factors on multi index weighting, the indexses were weighted and a comprehensive evaluation model was built based on IAHP for dynamic quantitative evaluation of the train driver's fatigue risk in different working periods.Example analysis results show that the the fatigue risk dynamic curve obtained by this method is consistent with the actual working condition and the fatigue self assessment scale score of the train driver.

Key words: train driver, driving fatigue, dynamic quantization, risk evaluation, improved analytic hierarchy process(IAHP)

中图分类号:

X910

李响, 徐玉萍, 章海亮. 机车司机驾驶疲劳风险动态量化评价研究[J]. 中国安全科学学报, 2017, 27(2): 18-23.

LI Xiang , XU Yuping , ZHANG Hailiang. A study on dynamic quantitative evaluation of train driver's fatigue risk[J]. China Safety Science Journal, 2017, 27(2): 18-23.

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机车司机驾驶疲劳风险动态量化评价研究

A study on dynamic quantitative evaluation of train driver's fatigue risk

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