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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)

Abstract

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.

Keywords

Fuzzy logic Dual lane Ramp metering Freeways Traffic Traffic signal control 

Notes

Acknowledgments

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.

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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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