Safety Assessment Method for Equipment of Urban Rail Transit Network Operation

Bo Gao; Ling Xi Zhu; Xue Mei Xiao

doi:10.4028/www.scientific.net/AMM.513-517.3958

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Safety Assessment Method for Equipment of Urban...

Safety Assessment Method for Equipment of Urban Rail Transit Network Operation

Abstract:

Based on the multi-source information fusion and complex network theory, through studying the effective matching and integration of safety equipment and spatial information of urban rail transit network operation, a safety assessment model is proposed: through equipment fusion and the node fusion, the global safety parameter is obtained, which is accurate in description and evaluation of urban rail transit operating than the partial safety factors and realize the transform from microscopic description to macroscopic description.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

3958-3963

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.3958

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Online since:

February 2014

Authors:

Bo Gao*, Ling Xi Zhu, Xue Mei Xiao

Keywords:

Complex Network, D-S Method, Equipment, Network Operation, Safety Assessment, Urban Rail Transit

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* - Corresponding Author

References

[1] Wei Yong, Lian Yifeng, Feng Dengguo. A Network Security Situational Awareness Model Based on Information Fusion [J]. Journal of Computer Research and Development 2009, 46(3): 353-362.

Google Scholar

[2] TANG Shi-jie , GAO She-sheng , XING Hua-ling. Research of Information Fusion Model Combining D-S Evidence Theory and Neural Network[J]. Journal of Transduction Technology，2007, 20(8): 1815-1820.

Google Scholar

[3] Zhao, K., Kumar, A., and Yen, J., Achieving High Robustness in Supply Distribution Networks by Rewiring[J]. IEEE Transactions on Engineering Management, 2011, 58(2), 347-362.

DOI: 10.1109/tem.2010.2095503

Google Scholar

[4] Zhao, K., Kumar, A., Harrison, T. P etc. Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions [J]. IEEE Systems Journal, 2011, 5(1), 28-39.

DOI: 10.1109/jsyst.2010.2100192

Google Scholar

[5] YAO Bing—XUe , LI Hong-xing. Axiomatic System of Local Variable Weight [J]. Systems Engineering-Theory & Practice，2000, 20(1): 106-109, 112.

Google Scholar

[6] LIU Jieli, HAN Yuanjie, DONG Yanjiao. An Effective Combination Rule of Evidence Theory in Situation Assessment [J]. Electronics Optics & Control，2009, 16(10): 80-82, 86.

Google Scholar

[7] Li Bicheng, Wang Bo, Wei Jun, Qian Cengbo etc. An Efficient Combination Rule of Evidence Theory [J]. Journal of Data Acquisition & Processing, 2002, 17(01): 33-36.

Google Scholar

[8] Ju-Liang J, Rui S, Ming Zet al. Uncertain Decision-Making Analysis Method Based On Information Entropy Principles[C]. 2009 Chinese Control and Decision Conference, CCDC 2009: 2241-2246.

DOI: 10.1109/ccdc.2009.5192192

Google Scholar