A dual-target dynamic optimization model was built for the traffic signal control system of two adjacent intersections based on signal timing parameters, such as signal cycle length, green signal ratio, phase offset, coordination phase vehicle delay, dissipation quantity feature, and vehicle flow in each entrance direction to improve the operational efficiency of the system. The dual-target dynamic optimization model was established using the stratified sequencing method. The example showed that the dynamic signal control significantly increased the effectiveness of the coordination phase of through lanes. When the lengths of the road between two adjacent intersections were 200 m, 350 m, and 550 m, the effectiveness ratios of a through lane with a dynamic signal two-way coordination phase control were increased by 14.47%, 11.01%, and 7.91%, respectively, compared with that of a through lane with a fixed signal. Therefore, when the length of a road between two adjacent intersections was short, the phase control of two adjacent intersections should coordinate with each other. Consequently, the traffic capacity of a dynamic signal control was improved by approximately 2.85% compared with that of a fixed intersection control.


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    Title :

    A Dynamic Optimization Model for Adjacent Signalized Intersection Control Systems Based on the Stratified Sequencing Method


    Contributors:
    Zhang, Lin (author) / Wu, Wei-ming (author) / Huang, Xuan-wei (author)


    Publication date :

    2016-02-15




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown