Environment-Based Railway Transportation Safety Assessment Using Hybrid Belief Rule Base

Jie Lei, Xiaobin Xu, Leilei Chang
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Abstract

For the high-speed line and the existing line in the Cheng-Yu region, an environment-based railway transportation safety assessment approach using hybrid belief rule base (H-BRB) is proposed. Indicators of building the H-BRB models include rain, wind, fog, frost, disasters and so on. Model data are from January 1, 2017, to August 30, 2018. The case study shows that high-speed line is relatively safer than the existing line. The results of the assessment are compared with the historical records of accidents and failures to verify the effectiveness of the method. The H-BRB model contains both conjunctive and disjunctive rules, which can reduce the number of rules and thus avoid the combination explosion problem.
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基于混合信念规则库的铁路运输环境安全评价
针对城渝地区高铁线路和既有线路,提出了一种基于环境的混合信念规则库(H-BRB)的铁路运输安全评价方法。建立H-BRB模型的指标包括雨、风、雾、霜、灾害等。模型数据为2017年1月1日至2018年8月30日。案例分析表明,高铁线路比现有线路相对安全。将评估结果与事故和故障的历史记录进行了比较,以验证该方法的有效性。H-BRB模型同时包含合取规则和析取规则,可以减少规则的数量,从而避免组合爆炸问题。
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