LISS 2014 pp 861-867 | Cite as

Study on Optimal Path Selection of Railway Emergency Based on Neural Network

Conference paper

Abstract

According to the characteristics of specificity and multi-goal property for the railway transportation organization in emergencies, this paper constructs the path evaluation index system from three aspects, including road network conditions, emergency management and emergency resources. Through the application of analytic hierarchy process, the weight of each evaluation index in the system is determined. In addition, the index is quantized by expert consultation and fuzzy processing with the establishment of three-level BP neural network evaluation model for alternative path assessment. Finally, the feasibility of this approach is proved with the use of algorithm cases.

Keywords

Emergency Pathway selection Analytic hierarchy process BP neural network 

Notes

Acknowledgments

This research is sponsored the State Key Laboratory of Rail Traffic Control and Safety (No. RCS2011K013) of Beijing Jiaotong University.

References

  1. Almodovar M Carcia-Rodenas R. (2013) On-line reschedule optimization for pass-enger railways in case of emergencies. Comp Operations Res 40(3):725–736CrossRefGoogle Scholar
  2. Chen C (2010) Study on formulation of train operation scheme on high-speed railway in accident disaster conditions. Beijing Jiaotong University, BejingGoogle Scholar
  3. Dong D, Pang Q, Wu Y. (2008) Modern comprehensive evaluation methods and case selection, 2nd edn. Tsinghua University Press, BeijngGoogle Scholar
  4. He F (2010) MATLAB realization of comprehensive evaluation method. China Social Sciences Press of China, BeijingGoogle Scholar
  5. Limin J, Yong Q, Cheng X (2011) Emergency management of modern railway. Science BeijingGoogle Scholar
  6. Wang Yu (2013) Study on transportation and organization in emergencies of Qinghai-Tibet railway. Southwest Jiaotong University, ChengduGoogle Scholar
  7. Zheng Q (2012) Study on road network train transportation organization method in sudden conditions. Sichuan. Southwest Jiaotong University, ChengduGoogle Scholar
  8. Zhengyuan X.(2010) Generation of train operation scheme for passenger transport line in large-area continuous snow disaster. Beijing Jiaotong University, BeijngGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.School of Mechanical-Electronic and Vehicle EngineeringBeijing University of Civil Engineering and ArchitectureBeijingChina
  2. 2.State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijingChina
  3. 3.School of Mechanical EngineeringBeijing Institute of Graphic CommunicationBeijingChina

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