Use of Fuzzy Logic Traffic Signal Control Approach as Dual Lane Ramp Metering Model for Freeways

  • Yetis Sazi Murat
  • Ziya Cakici
  • Gokce Yaslan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 223)


Metering of merging traffic flows from on-ramp section of freeways is an important research issue for traffic engineers. Although metering signal is one of the recent applications for the subject, assignment of signal timing is problematic. The problem is based on dynamic structure of traffic flows and uncertainties coming up from driver behaviors. Because of variations in car following behavior and perception-reaction times of drivers, uncertainties are occurred. To handle these uncertainties, fuzzy logic approach is preferred in this research. A Fuzzy LogicControl based Dual Lane Ramp Metering (FuLCRMe) Model is proposed. The model considers following parameters as inputs; arrival headways of mainline, queue length at ramp and red time of ramp. Decision about red signal timing is made using these parameters. Based on this decision the final red time is assigned. The FuLCRMe model is tested by a simulation developed in Microsoft Excel program considering different cases. Results of the comparisons show that the FuLCRMe model provides significant decrease in delays, queue length, cycle time, CO\(_{2}\) emission, fuel consumption, travel time and total cost.


Fuzzy logic Dual lane Ramp metering Freeways Traffic Traffic signal control 



Authors of this paper would like to thank Dr. Rahmi Akcelik for providing SIDRA Intersection program. On the other hand, support of Pamukkale University Scientific Research Project Coordination Department by the project number 2010FBE061 is appreciated.

Open Access

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.


  1. 1.
    Papageorgiou, M., Blosseville, J.M., Hadj-Salem, H.: Modelling and real-time control of traffic flow on the southern part of Boulevard Peripherique in Paris-Part I modeling. Transp. Res. A 24, 345–359 (1990)CrossRefGoogle Scholar
  2. 2.
    Papageorgiou, M., Hadj-Salem, H., Middelham, F.: ALINEA local ramp metering summary of field results. Transportation Research Record Journal of the Transportation Research Board No 1603, TRB of National Academies, Washington D.C., 90–98, (1997)Google Scholar
  3. 3.
    Taylor, C., Meldrum, D.: Freeway traffic data prediction via artificial neural networks for use in a fuzzy logic ramp metering algorithm. In: Proceedings of the Intelligent Vehicles ’94 Symposium, pp. 308–313, 24–26 Oct 1994.Google Scholar
  4. 4.
    Murat, Y.S., Gedizlioğlu, E.: A fuzzy logic multi-phased signal control model for isolated junctions. Transp. Res. Part C Emerg. Technol. 13/1:19–36, Pergamon Press (2005).Google Scholar
  5. 5.
    Murat, Y.S., Gedizlioğlu, E.: Investigation of vehicle time headways in Turkey. In: Proceedings Of the Institution Of Civil Engineers-Transport, Vol. 160(2), pp. 73–78 (2007)Google Scholar
  6. 6.
    Murat, Y.S., Uludag, N.: Route choice modelling in urban transportation networks using fuzzy logic and logistic regression methods. J. Sci. Ind. Res. 67(1), 19–27 (2008)Google Scholar
  7. 7.
    Murat, Y.S., Kulak, O.: Use of information axiom for route choice in transportation networks. Pamukkale Univ. J. Eng. Sci. (PAJES) 11(3), 425–435 (2005)Google Scholar
  8. 8.
    Taylor, C., Meldrum, D., Jacobson, L.: Fuzzy ramp metering design overview and simulation results transportation research record. Journal of Transportation Research Board No 1634, TRB of National Academies, Washington D.C., 10–19 (1998)Google Scholar
  9. 9.
    Chen, X., Tian, A.: Research on fuzzy on-ramp metering and simulation in urban expressway. In: International Conference on Optoelectronics and Image Processing (ICOIP), 2010, Vol. 2, pp. 221–224, (2010) (Publication Year)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Pamukkale UniversityFaculty of Engineering-Civil Engineering DepartmentDenizliTurkey
  2. 2.Yaslan Engineering and Construction Consultant AgencyMuglaTurkey

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