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Maximum Green Time Settings for Traffic-Actuated Signal Control at Isolated Intersections Using Fuzzy Logic

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Abstract

Traffic-actuated control (TAC) is widely used for signal control in isolated intersections. In TAC, green durations are dynamically determined based on online traffic data. These determinations are subject to predefined static parameters which do not respond to sudden changes in traffic flow. One type of these parameters in TAC is maximum green time. In this paper, maximum green times are dynamically determined by means of fuzzy control. At first, it monitors the whole intersection traffic conditions and then dynamically adjusts maximum green times. The main advantage of the proposed approach is its capability to adjust maximum green times which are responsive to real-time traffic condition in isolated intersections. The efficiency of the proposed method has been evaluated by AIMSUN 7 microscopic traffic simulation tool. The evaluation results show the efficiency and the robustness of the proposed method compared to maximum green times provided by SYNCHRO8 and state-of-the-art dynamic stochastic approach.

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Authors and Affiliations

  1. Faculty of Mathematics, Shiraz University of Technology, Shiraz, Iran

    M. J. Shirvani Shiri & H. R. Maleki

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  1. M. J. Shirvani Shiri
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Shirvani Shiri, M.J., Maleki, H.R. Maximum Green Time Settings for Traffic-Actuated Signal Control at Isolated Intersections Using Fuzzy Logic. Int. J. Fuzzy Syst. 19, 247–256 (2017). https://doi.org/10.1007/s40815-016-0143-7

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  • DOI: https://doi.org/10.1007/s40815-016-0143-7

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