A web service-based approach to integrated information management for railway emergency scenario

Zhen Hai Zhang, Zhi Long Xu, Yan Peng Zhang, Jian Wu Dang, Lixin Shen

Research output: Contribution to journalArticle

Abstract

Railway emergency management has gradually shifted from reaction planning to scenario planning when an emergency occurs. As such, an effective approach to integrated information management based on the "scenario-response" mode has become of considerable value in establishing a scenario model for railway emergency. First, the scenario elements of railway emergencies were classified by scenario analysis to set up a hierarchical network model for railway emergencies. After the analysis of the requirements, sources, and characteristics of information for scenario building, an approach to integrated information service for railway emergency scenarios based on the Service-Oriented Adaptive Agent Collaborative Model was proposed. Such approach could meet the requirements for autonomy and flexibility of an integrated information service under railway emergency conditions. Agent technology was adopted, and the Web service proxy was provided by the software agents in the proposed approach. The global scenario model was divided into many local procedure models in different departments, which distributed the control of integrated information service to numerous service nodes. Experimental results showed that the integrated information service system based on the proposed approach is significantly more autonomous and flexible than the integrated model based on the Business Process Execution Language for Web Services.

Original languageEnglish (US)
Pages (from-to)1-7
Number of pages7
JournalJournal of Digital Information Management
Volume14
Issue number1
StatePublished - Feb 1 2016

Keywords

  • Emergency Information
  • Integrated Service
  • Railway Transportation
  • Scenario Model
  • SOAACM

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Library and Information Sciences

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