摘要
文中提出了一种基于信息熵的地铁司机行车作业复杂度的计算方法。通过分析地铁司机协同作业的特征,从作业内容特征、司机个人因素以及作业协同需求三个方面提取出量化因子,归纳为5项指标并计算其权重。结合信息熵的概念对行车作业复杂度进行量化,分解作业结构与要求,绘制图形熵,计算熵值得出复杂度。最后选取司机错开门处置及切除关门旁路两项作业进行分析,详细解释作业复杂度计算过程,并通过对比验证此方法的实用性和合理性。结果表明,本方法切实可行,为量化行车作业难易度及司机作业安全可靠性提供理论基础和方法依据。
In this paper,a method for calculating the operation complexity of subway drivers based on information entropy is proposed.Through the analysis of the characteristics of subway drivers'cooperative work,the quantitative factors are extracted from three aspects of the characteristics of operation content,the driver's personal factors and the demand of operation cooperation,which are summarized into five indexes and their weights are calculated.Combined with the concept of information entropy,the complexity of driving operation is quantified,the operation structure and requirements are decomposed,the graphic entropy is drawn,and the entropy is calculated to obtain the complexity.Finally,the two tasks of the driver's wrong door opening and the removal of the door-closing bypass are analyzed,the calculation process of the operation complexity is explained in detail,and the practicability and rationality of this method are verified by comparison.The results show that this method is feasible,and the test provides theoretical basis and method basis for quantifying the difficulty of driving operation and the safety and reliability of driver operation.
作者
汪健
王奋
刘志钢
WANG Jian;WANG Fen;LIU Zhi-gang(School of Urban Railway Transportation,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《物流工程与管理》
2021年第12期87-91,共5页
Logistics Engineering and Management
关键词
复杂度
信息熵
协同作业
complexity
information entropy
collaborative work
