Fuzzy control of traffic signals accompanying pedestrian crossings

  • Authors:
  • Yi Hu;Peter Thomas;Russel Stonier

  • Affiliations:
  • Faculty of Business and Informatics, Central Queensland University, Rockhampton, Australia;Faculty of Science, Engineering and Health, Central Queensland University, Rockhampton, Australia;Faculty of Business and Informatics, Central Queensland University, Rockhampton, Australia

  • Venue:
  • CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
  • Year:
  • 2007

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Abstract

In this paper, a fuzzy logic control system was constructed for controlling the green time length for a real single intersection with multiple lanes, turns, and two pedestrian crossings. Control of pedestrian crossingd was achieved by assigning pedestrian crossingd into related light phases, which were controlled by a fuzzy logic controller. An evolutionary algorithm was employed to generate the fuzzy logic rule base, using real statistical traffic data of the intersection. Simulation results showed that the fuzzy controller system performed better than a pre-cycle controller system which is currently used at the intersection.