Skip to main content

Traffic Circle Design Based Fuzzy Control Method

  • Conference paper
Fuzzy Information and Engineering Volume 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 62))

  • 1366 Accesses

Abstract

Theoretically, fuzzy control has been shown to be superior in complex problems with multi-objective decisions. Traffic signal control is a typical process, where traffic flows compete for the same time and space, and different objectives can be reached in different traffic situations. In this paper, through the matlab program we attain a problematic multi-phase Traffic signal control with the fuzzy control method. Based on the results of our paper, we can assert that the fuzzy control principles are quite competitive in multi-phase traffic signal control.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  2. Pursula, M.: Theory and application of fuzzy control to traffic signals. Research plan for FUSICO project and application for the academy of Finland. Helsinki University of Technology. Transportation Engineering 12, 324–335 (1995)

    Google Scholar 

  3. Niittymaki, J.: Fuzzy Logic Two-Phase Traffic Signal Control for Coordinated One-Way Streets. Paper for SMCia/1999. In: 1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial, Applications. Kuusamo, Finland, June 16-18 (1999)

    Google Scholar 

  4. Pappis, C., Mamdani, E.: A fuzzy logic controller for a traffic junction. IEEE Transactions on Systems, Man and Cybernetics SMC-7(10), 707–717 (1977)

    Google Scholar 

  5. Kikuchi, S.: Application of Fuzzy Set Theory to the Analysis of Transportation Problems. Paper Presented at the Second International Conference on Applications of Advanced Technologies. Transportation Engineering, Minneapolis, Minnesota, August 18-21 (1991)

    Google Scholar 

  6. Kosko, B.: Fuzzy logic. Scientific America 7, 76–80 (1993)

    Article  Google Scholar 

  7. Niittymaki, J.: Using Fuzzy Logic to Control Traffic Signals at Multi-phase Intersections. Springer, Heidelberg (1999)

    Google Scholar 

  8. Niittymäki, J.: Fuzzy traffic sigal control. Principles and Applications (2002), http://lib.tkk.fi/Diss/2002/isbn9512257017/isbn9512257017.pdf

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, Gh., Liu, Qf., Liao, Xl. (2009). Traffic Circle Design Based Fuzzy Control Method. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_171

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03664-4_171

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03663-7

  • Online ISBN: 978-3-642-03664-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics