Research on Mechanical Automation with Analysis of Modeling Train Collision Accident Based on Stochastic Petri Net

Cheng Xuan Cao; Chao Wu; Ya Hua Sun; Ke Ping Li

doi:10.4028/www.scientific.net/AMR.738.215

Paper Titles

Study on Automation Control with Noise Control of Oil Sucking Machine
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Research on Mechanical Automation with Vehicle’s Reconstruction Analysis Model of Offset Collision Accidents
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Optimized Design of Energy Absorption Construction of ROPS
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Research on Mechanical Automation with Analysis of Mixed Train Scheduling Problem on the High-Speed Rail Line
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Study on Mechanical Automation with Detection Technology in Central Air-Conditioning
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 738Research on Mechanical Automation with Analysis of...

Research on Mechanical Automation with Analysis of Modeling Train Collision Accident Based on Stochastic Petri Net

Abstract:

In this paper, we study the mechanical automation with analysis of modeling train collision accident based on stochastic Petri net and propose a model of train collision accident based on the theory of stochastic Petri net (SPN), and verified the validity of the model by testing its soundness. By isomorphic to Markov chain, we also can carry out quantitative analysis of the train collision accident. According to the data extracted froma large number of historical data of the accident statistics, we have carried out a case analysis and discussion, and the results presented in this paper may be useful to the railway safety management.

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Periodical:

Advanced Materials Research (Volume 738)

Pages:

215-218

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.738.215

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Online since:

August 2013

Authors:

Cheng Xuan Cao, Chao Wu, Ya Hua Sun, Ke Ping Li

Keywords:

Railway Safety, Stochastic Petri Net, Train Collision Accident

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References

[1] Wang W, Jiang X, Xia S, et al. Incident tree model and incident tree analysis method for quantified risk assessment: an in-depth accident study in traffic operation. Safety Science, 2010, 48(10): 1248-1262.

DOI: 10.1016/j.ssci.2010.04.002

Google Scholar

[2] Wang G., Han L., 1999. Analysis of mine railway transport accident characteristics using gray relational analysis method. Railway Transport and Economy.

Google Scholar

[3] Kontogiannis, T., Leopoulos, V., Marmaras, N., 2000. A comparison of accident analysis techniques for safety-critical man-machine systems. International Journal of Industrial Ergonomics 25, 327–347.

DOI: 10.1016/s0169-8141(99)00022-0

Google Scholar

[4] Leveson N.G., Stolzy J.L. Safety analysis using Petri nets. IEEE Transactions On Software Engineering 1987; 133: 386-397.

DOI: 10.1109/tse.1987.233170

Google Scholar

[5] Lars Harms-Ringdahl, Relationships between accident investigations, risk analysis, and safety management, Journal of Hazardous Materials 111 (2004) 13–19.

DOI: 10.1016/j.jhazmat.2004.02.003

Google Scholar

[6] Vernez, D., Buchs, D., & Pierrehumbert, G. (2003). Perspectives in the use of coloured Petri nets for risk analysis and accident modeling. Safety Science, 41(5), 445-463.

DOI: 10.1016/s0925-7535(01)00078-9

Google Scholar