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Information Systems Frontiers

, Volume 16, Issue 5, pp 939–951 | Cite as

Service-oriented intelligent group decision support system: Application in transportation management

  • Shiwei He
  • Rui Song
  • Sohail S. Chaudhry
Article

Abstract

In today’s ever changing consumer driven market economy, it is imperative for providers to respond expeditiously to the changes demanded by the customer. This phenomenon is no different in the transportation sector in which a service-oriented Group Decision Support System (GDSS) provides an important role in transportation enterprise to effectively manage and rapidly respond to the varying needs of the customer. In this paper, we explore the integration problem of service-oriented system and intelligence technology through the use of a GDSS. Initially, we analyze a service-oriented architecture and then, propose the design architecture of a service-oriented GDSS. Next, we put forward a general framework that integrates the intelligent techniques as a component into the architecture of service oriented GDSS. In addition, we illustrate how Artificial Intelligence techniques can resolve the conflicts of distributed group decisions. The paper is concluded by providing a number of applications in the railway management system that demonstrates the benefits of the utilization of a service oriented intelligent GDSS.

Keywords

Service-oriented architecture Group decision support system Transportation Management Artificial intelligence 

Notes

Acknowledgement

The authors would like to thank the Coordinating Editor and the reviewers for their insightful comments and suggestions that have significantly improved the quality of this paper. Also, this research was partially supported by China 973 Program (No. 2012CB725403),National Natural Science Foundation of China (No. 60776825), and 863 High-Tech Foundation (No. 2007AA11Z208). For the third author, the research was supported by Villanova School of Business Summer Research Award, The Challenge Fund, and Center for Global Leadership.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.School of Traffic and TransportationBeijing Jiaotong UniversityBeijingPeople’s Republic of China
  2. 2.Department of Management and OperationsVillanova School of Business, Villanova UniversityVillanovaUSA

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