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Identification Methods of Critical Combination of Vulnerable Links in Transportation Networks

  • Lin Li
  • Jie Ma
  • Dawei Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)

Abstract

This chapter presents two global optimization approaches for identifying the most critical combination of vulnerable links in a transportation network. The first approach is formulated with a bi-level framework. It can be applied to small-scale networks. The second proposed approach formulates this problem as a Mixed-integer Nonlinear Programming (MINLP). We revised the [MINLP] into a nicer form [RMINLP] to simplify the vulnerability problem into a discrete Network Design Problem (DNDP), so that it can be solved by many existing algorithms for DNDPs, and expand its scope of application. A numerical example of Sioux-Falls network is used to illustrate the two proposed approaches. The test results show that both approaches can provide a global optimization solution, while the second approach has a better property in computing efficiency.

Keywords

Bi-level Nonlinear programming Discrete network design problem (DNDP) Vulnerability analysis 

Notes

Acknowledgements

This research is supported by the National Natural Science Foundation of China (No. 51608115); the Natural Science Foundation of Jiangsu Province (No. BK20150613) and the Scientific Research Foundation of the Graduate School of Southeast University (No. YBJJ1840).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Branch of Intelligent Equipment and Information EngineeringChangZhou Vocational Institute of EngineeringChangZhouChina
  2. 2.School of TransportationSoutheast UniversityNanjingChina

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