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Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In large-scale high-speed rail networks (HSRNs), the occurrence of occasional malfunctions or accidents is unavoidable.
The key issue considered in this study is the optimal allocation of the maintenance costs, based on the stochastic risk assessment for HSRNs.
Inspired by the theoretical risk evaluation methods in the complex network, three major factors, including the local effects, global effects, and component self-effects are considered in the process of assessing the impact on the network components (nodes or lines).
By introducing the component failure occurrence probability, which is considered to be an exponential function changing with the component maintenance costs, a feasible stochastic risk assessment model of the HSRNs together with the component impact assessment is proposed that can better unify the impact assessment of both the high-speed rail stations and railways.
An optimal allocation algorithm based on a Lagrangian relaxation approach is designed.
Correspondingly, the optimal cost allocation scheme can be determined using the algorithm to eliminate the various HSRN risks under the given costs.
Furthermore, a real-world case study of the HSRNs in eastern China is illustrated.
Compared with the genetic algorithm, the simulation shows that the approach can solve the optimal cost allocation problem to more effectively reduce the risks of large-scale HSRNs in practice.
American Psychological Association (APA)
Zuo, Jing& Dang, Jianwu& Lyu, Min. 2020. Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175969
Modern Language Association (MLA)
Zuo, Jing…[et al.]. Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks. Journal of Advanced Transportation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1175969
American Medical Association (AMA)
Zuo, Jing& Dang, Jianwu& Lyu, Min. Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175969
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175969