Skip to main content

Distributed Hierarchical Control for Railway Passenger-Dedicated Line Intelligent Transportation System Based on Multi-Agent

  • Conference paper
  • 2200 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6146))

Abstract

Through detailed analysis of control problem of railway passenger-dedicated line intelligent transportation system, a distributed hierarchical control method was proposed by blending the factitious division of hierarchical system and the natural division of distributed control system. This method is based on the hierarchical control theory of large scale system, and includes three levels: the organization level, the coordination level, and the execution level. The objectives are decreasing the total delay time and increasing the absorption to passengers of the successive trains, a method for train operation adjustment based on Multi-Agent is developed, and the control strategy based on rules is proposed. The distributed hierarchical control method deals with the train planning, the coordination of trains, and the action control of trains in different layers. The organization level responds to the real-time changing transport demands and determines the planning orders of the trains, the coordination level is used to resolve the underlying conflicts between trains in the system, and the execution level is used to control the action of the trains. The simulation results show the effectiveness of the model and the revised algorithm based on Multi-Agent comparing with the traditional control theory.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wang, J.P., Chen, H.: Study of Agent-based Distributed Hierarchical Intelligent Control. Control and Decision 16(2), 177–180 (2001)

    Google Scholar 

  2. Dong, H.Y., Jia, S.F.: Distributed Intelligent Control of Train Based on Multi-agent. Journal of the China Railway Society 26(5), 61–65 (2004)

    Google Scholar 

  3. Wang, H.N.: Study on Passenger-special Line Train Regulation Model and Algorithm. Master’s Thesis, Southwest Jiaotong University, 16-21 (2006)

    Google Scholar 

  4. Cai, Z.X.: Structures for Hierarchical Intelligent Control Systems. Control and Decision 14(6), 642–647 (1999)

    Google Scholar 

  5. Zhao, S.X., Dang, J.W.: Study on Chaos-improved Genetic Algorithm for passenger-dedicated lines train operation adjustment. Computer Engineering and Applications 45(9), 220–222 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sun, J., Wang, Y., Wang, S. (2010). Distributed Hierarchical Control for Railway Passenger-Dedicated Line Intelligent Transportation System Based on Multi-Agent. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13498-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13497-5

  • Online ISBN: 978-3-642-13498-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics