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Urban Traffic Signals Timing at Four-Phase Signalized Intersection Based on Optimized Two-Stage Fuzzy Control Scheme

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  • Taiping Jiang
  • Zili Wang
  • Fuyang Chen

Abstract

This paper proposes a signal timing scheme through a two-stage fuzzy logic controller. The controller first determines the signal phase and then adjusts the green time. At the first stage, the adaptive membership function of vehicle arrival rate is improved to adapt to the changing traffic flow. In addition to arrival rate and queue vehicles, a specific phase order rule is considered to avoid disordered phase selection in fuzzy control. At the second stage, the green time detection module decides whether to extend the current green time or switch phases every few seconds and the vehicle arrival rate is not required as the input to controller in real-time detection. Differential evolution algorithm with low space complexity and fast convergence is applied to optimize the fuzzy rules for avoiding artificial uncertainty. Simulation experiments are designed to compare traditional fuzzy controller, fixed-time controller, and fuzzy controller without flow prediction. Results show that the current proposed method in this paper can reduce vehicle delay significantly.

Suggested Citation

  • Taiping Jiang & Zili Wang & Fuyang Chen, 2021. "Urban Traffic Signals Timing at Four-Phase Signalized Intersection Based on Optimized Two-Stage Fuzzy Control Scheme," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, March.
  • Handle: RePEc:hin:jnlmpe:6693562
    DOI: 10.1155/2021/6693562
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    Cited by:

    1. Sadiqa Jafari & Zeinab Shahbazi & Yung-Cheol Byun, 2021. "Improving the Performance of Single-Intersection Urban Traffic Networks Based on a Model Predictive Controller," Sustainability, MDPI, vol. 13(10), pages 1-16, May.

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