Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

The Dynamic Fuzzy Brittleness Analyzing of High-Speed Railway Train Control Using Colored Petri Nets Model

Publication: ICTE 2019

ABSTRACT

A train control system, which guarantees the operation security of a train, is one of the most important parts of the railway operation system. In this paper, the dynamic fuzzy brittleness of the train control system is studied. Firstly, the traditional brittleness theory is introduced, so as the Petri nets theory. Then the fuzzy credibility information is appended and the dynamic fuzzy brittleness is analyzed by monitors. Finally, the high-speed railway train control processes are modeled, and the dynamic fuzzy brittleness is analyzed, which show that the higher the transition level is, the larger the brittleness degree is, and so as the destruction strength. The brittleness relevance results imply the correlation intensions between the subsystems or the sub-transitions, which can be used to guide the security guarantee strength adjustment.

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ACKNOWLEDGEMENT

This work was supported by Natural Science Foundation of Shandong Province under grants ZR2019PG008 and the Doctoral Scientific Research Foundation of Shandong Jiaotong University. We are grateful for the useful contributions made by our project partners.

REFERENCES

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Information & Authors

Information

Published In

Go to ICTE 2019
ICTE 2019
Pages: 1043 - 1053
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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Authors

Affiliations

Liping Feng [email protected]
Dept. of Rail Transit Operation and Management, School of Rail Transit, Shangdong Jiaotong Univ., Jinan, Shandong, China. E-mail: [email protected]
Lidong Zhang [email protected]
Dept. of Rail Transit Operation and Management, School of Rail Transit, Shangdong Jiaotong Univ., Jinan, Shandong, China. E-mail: [email protected]

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