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International Conference on Computational Intelligence

Fuzzy Days 1999: Computational Intelligence pp 354–362Cite as

Using Fuzzy Logic to Control Traffic Signals at Multi-phase Intersections

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1625))

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 from the same time and space, and different objectives can be reached in different traffic situations. Based on recent research work, fuzzy control technology appears particularly well suited to traffic signal control situations involving multiple approaches and vehicle movements. Based on the results of our paper, we can say that the fuzzy control principles are very competitive in isolated multi-phase traffic signal control. The experiences and results of the field test and the calibration of membership functions with neural networks have been extremely promising.

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References

  1. Bingham E.: Neurofuzzy Traffic Signal Control. MOBILE 235T-Final Report. ISBN951-22-4227-3. Helsinki University of Technology. 107 p.

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  2. Hoogendorn S., Hoogendorn-Lanser S., Schuurman H.: Perspectives of Fuzzy Logic in Traffic Engineering. Paper presented at the 1999 Transportation Research Board 78th Annual Meeting. Transportation Research Board, Washington D.C.. 18 p.

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  3. Niittymäki J.: Isolated Traffic Signals — Vehicle Dynamics and Fuzzy Control. Helsinki University of Technology, Transportation Engineering, Pub. 94 (1998). 128 p.

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  4. Sayers T., Anderson J.: Optimisation of a Fuzzy Logic Traffic Signal Controller with Multiple Objectives. Paper presented at the 1999 Transportation Research Board 78th Annual Meeting. Transportation Research Board, Washington D.C.. 15 p.

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Author information

Authors and Affiliations

  1. Transportation Engineering, Helsinki University of Technology, P.O.Box 2100, FIN-02015, HUT, Finland

    Jarkko Niittymäki

Authors
  1. Jarkko Niittymäki
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, D-44221, Dortmund, Germany

    Bernd Reusch

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© 1999 Springer-Verlag Berlin Heidelberg

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Cite this paper

Niittymäki, J. (1999). Using Fuzzy Logic to Control Traffic Signals at Multi-phase Intersections. In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_41

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  • DOI: https://doi.org/10.1007/3-540-48774-3_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66050-7

  • Online ISBN: 978-3-540-48774-6

  • eBook Packages: Springer Book Archive

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