LISS 2014 pp 861-867 | Cite as

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

  • Xiaogang Zhao
  • Yanping Du
Conference paper


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.


Emergency Pathway selection Analytic hierarchy process BP neural network 



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


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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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