Construction of Monitoring Model and Algorithm Design on Passenger Security during Shipping Based on Improved Bayesian Network

Abstract

A large number of data is needed by the computation of the objective Bayesian network, but the data is hard to get in actual computation. The calculation method of Bayesian network was improved in this paper, and the fuzzy-precise Bayesian network was obtained. Then, the fuzzy-precise Bayesian network was used to reason Bayesian network model when the data is limited. The security of passengers during shipping is affected by various factors, and it is hard to predict and control. The index system that has the impact on the passenger safety during shipping was established on basis of the multifield coupling theory in this paper. Meanwhile, the fuzzy-precise Bayesian network was applied to monitor the security of passengers in the shipping process. The model was applied to monitor the passenger safety during shipping of a shipping company in Hainan, and the effectiveness of this model was examined. This research work provides guidance for guaranteeing security of passengers during shipping.

Towards Integration of Security and Safety Measures for Critical Infrastructures Based on Bayesian Networks and Graph Theory: A Systematic Literature Review

“…The most extensive cited studies were 139 citations for Shuliang et al [103], 76 citations are Jinsoo et al [82], and 60 citations for Huai et al [68], which are published in 2012, 2015, and 2017, respectively. Whereas the following studies have not received any citations: Tai-hua et al [46], Xiaoxue et al [48], and Xin et al [49] (published in 2020), Sabarathinam et al [56], Xiqiang et al [62], and Jamal et al [63] (published in 2019), Zhao et al [76] (published in 2016), Jiali et al [90], and Zeng Xianfeng [93] (published in 2014), and Mo Ming [102] (published in 2012). However, the record number of included articles per year is reported in Figure 5, which demonstrates the research trend of applying GT and BN to implement safety and security, based on the included studies.…”

“…In this SLR, it is observed that 43 out of 51 BN-based model have used less than 40 nodes. However, the remaining eight have used equal or more than 40, including Xiaoyan et al [65], Song et al [104], Zhiqiang et al [70], Xiqiang et al [85], Barry et al [54], Jiali et al [90], Remya et al [78], and Jinsoo et al [82], 40, 45, 47, 47, 51, 58, 60, and 64, respectively. However, all models that utilized GT and BN simultaneously have used less than 40 nodes in the developed system.…”