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1700925 Vol 2 · Issue 8 Download Paper

An Automated Traffic Signal System Based On Traffic Queue Length

I. T. K. Jayasekara R. Sanjeewa M. T. M. Perera

Subject area: Science,Engineering and Technology  ·  Area of research: Mathematics, Engineering

Abstract

This study suggests an automate traffic signal system, which performs based on vehicle queues form at intersections. The presented system focuses on dynamic que length estimation, designing of traffic phases and signal coordination algorithms in a way that provide maximum opportunity for vehicles. The system was developed by considering a four leg intersection and graph theoretic concepts were adopted in designing traffic phases. Logical expressions have used for the signal coordination. This paper suggests using sensor networks arranged in an efficient geometry, as the estimator of traffic queue lengths. The proposed system results in four sets of traffic phase changes. The system optimizes the traffic flow by providing more opportunity for vehicles while eliminating unnecessary green time assigned for the traffic phases.

Keywords

cycle time, peak hour, planar sets, traffic phases

References

[1] A. Kumar Baruah (2014). Traffic Control Problems using Graph Connectivity. International Journal of Computer Applications, 86(11), pp.1-3

[2] B. Batugedara and G. Lanel (2017). Designing The Traffic Phases Using Graph Coloring And Book Thickness To Reduce The Traffic For A Selected Junction In Colombo City. International Journal of Advanced Research, 5(3), pp.1577-1582.

[3] N. Athmaraman, and S. Soundararajan(n.d.). Adaptive Predictive Traffic Timer Control Algorithm.

[4] N. Baruah and A. Baruah (2012). On A Traffic Control Problem Using Cut-Set of Graph.

[5] D. Dave and N. Jhala, Traffic Control Problems using Graph Connectivity. International Journal of Engineering and Innovative Technology 3(12), pp.124-126.

How to cite this paper

I. T. K. Jayasekara, R. Sanjeewa, M. T. M. Perera "An Automated Traffic Signal System Based On Traffic Queue Length" Iconic Research And Engineering Journals Volume 2 Issue 8 2019 Page 10-13
I. T. K. Jayasekara, R. Sanjeewa, M. T. M. Perera "An Automated Traffic Signal System Based On Traffic Queue Length" Iconic Research And Engineering Journals, vol. 2, no. 8, Feb. 2019
I. T. K. Jayasekara, R. Sanjeewa, M. T. M. Perera (2019). An Automated Traffic Signal System Based On Traffic Queue Length. Iconic Research And Engineering Journals, 2(8).
I. T. K. Jayasekara, R. Sanjeewa, M. T. M. Perera "An Automated Traffic Signal System Based On Traffic Queue Length" Iconic Research And Engineering Journals, vol. 2, no. 8, Feb. 2019.
@article{1700925,
      author = {I. T. K. Jayasekara, R. Sanjeewa, M. T. M. Perera},
      title = {An Automated Traffic Signal System  Based On Traffic Queue Length},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {8},
      pages = {10-13},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700925.pdf},
      abstract = {This study suggests an automate traffic signal system, which performs based on vehicle queues form at intersections. The presented system focuses on dynamic que length estimation, designing of traffic phases and signal coordination algorithms in a way that provide maximum opportunity for vehicles. The system was developed by considering a four leg intersection and graph theoretic concepts were adopted in designing traffic phases. Logical expressions have used for the signal coordination. This paper suggests using sensor networks arranged in an efficient geometry, as the estimator of traffic queue lengths. The proposed system results in four sets of traffic phase changes. The system optimizes the traffic flow by providing more opportunity for vehicles while eliminating unnecessary green time assigned for the traffic phases.},
      keywords = {cycle time, peak hour, planar sets, traffic phases},
      month = {February},
  }