Study on Risk Assessment and Factors Ranking of LTE-M Communication System

IF 2.7 4区 工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY Transportation Safety and Environment Pub Date : 2022-12-21 DOI:10.1093/tse/tdac067
Xiaochun Wu, Yu Gao, Weichao Zheng
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Abstract

To assess the operational safety risk of long-term evolution for metro (LTE-M) communication system more accurately, guide maintenance strategy, the improved evidence theory and multi-attribute ideal reality comparative analysis (MAIRCA) approaches are proposed respectively. According to the features of the LTE-M system, the risk evaluation system is established. The enhanced structural entropy weight method is used to count the weight. Furthermore, combined with nine-element fuzzy mathematics to transform the degree of membership. Modifying the conflict and fusion rules to solve the confidence degree clashed problem of evidence theory. Then get the system risk grade assessment result. For the purpose of forming the ranking of indicator importance, the MAIRCA is introduced and the sort is based on three-dimensional. The operational state of the metro line is used as the data source in various ways based on the test and calculation. The results show that the method is effective, compared with the others, the confidence degree in the obtained risk grade increased by 7.12%. It is verified that MAIRCA can be applied to the field of urban rail transit because excellent stability and the ranking result of risk factors is reasonable. The influencing indicator with the highest importance is’ the equipment failure rate’.
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LTE-M通信系统风险评估及因素排序研究
为了更准确地评估城域(LTE-M)通信系统长期演进的运行安全风险,指导维护策略,分别提出了改进的证据理论和多属性理想现实比较分析(MAIRCA)方法。根据LTE-M系统的特点,建立了风险评估体系。采用增强型结构熵权法计算权重。并结合九元模糊数学对隶属度进行变换。修改冲突与融合规则,解决证据理论中的置信度冲突问题。然后得到系统风险等级评价结果。为了形成指标重要性排序,引入MAIRCA,并基于三维排序。在试验计算的基础上,采用多种方式将地铁线路运行状态作为数据源。结果表明,该方法是有效的,所得风险等级的置信度比其他方法提高了7.12%。验证了MAIRCA算法稳定性好,风险因素排序结果合理,可以应用于城市轨道交通领域。最重要的影响指标是“设备故障率”。
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来源期刊
Transportation Safety and Environment
Transportation Safety and Environment TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.90
自引率
13.60%
发文量
32
审稿时长
10 weeks
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