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Research on Key Technology of Signal Control Subarea Partition Based on Correlation Degree Analysis

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  • Huihui Lan
  • Xianyu Wu

Abstract

In order to accurately divide the traffic control subarea and improve the regional coordination control effect, this paper studies the key technologies of traffic control subarea division from the influence of the discrete characteristics of the fleet on the coordinated control. Correlation analysis method and regression analysis method are used to construct the correlation model of adjacent intersections. The principle and process of transportation subarea division are designed by using analytic hierarchy process, and a new traffic subarea division model is proposed. Taking Gulou Street in Miyun District of Beijing as an example, combined with the green wave coordination optimization method, the new model was applied and simulated in SimTraffic. The simulation results show that the average delay of the intersection is reduced by 21.4%, the total number of stops is reduced by 9.62%, and the travel time is shortened by 8.75%. The new intersection degree model and the coordinated control scheme obtained by the traffic subarea division model make the highest traffic efficiency. That is, to verify the scientific research method of this paper, the research results are reliable and the practical application value is high.

Suggested Citation

  • Huihui Lan & Xianyu Wu, 2020. "Research on Key Technology of Signal Control Subarea Partition Based on Correlation Degree Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, March.
    • Handle: RePEc:hin:jnlmpe:1879503
    DOI: 10.1155/2020/1879503
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    Cited by:

    1. Yan Xing & Wenqing Li & Weidong Liu & Yachao Li & Zhe Zhang, 2022. "A Dynamic Regional Partitioning Method for Active Traffic Control," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
    2. Xiaoyue Wen & Dianhai Wang & Sheng Jin & Guomin Qian & Yixuan Zhu, 2023. "A Signal Coordination Model for Long Arterials Considering Link Traffic Flow Characteristics," Sustainability, MDPI, vol. 15(20), pages 1-19, October.

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