The authors propose a real-time adaptive signal control model that aims to maintain the adaptive functionality of actuated controllers while improving the performance of traffic-actuated control systems. In this model, a flow-prediction algorithm is formulated to estimate the future vehicle arrival flow for each signal phase at the target intersection on the basis of the available signal-timing data obtained from previous control cycles. Optimal timing parameters are determined on the basis of these estimations and are used as signal-timing data for further optimizations. To be consistent with the operation logic of existing signal-control devices, this model is developed to optimize the basic control parameters that can be found in modern actuated controllers. Microscopic simulation is used to test and evaluate the proposed control model in a calibrated network consisting of 38 actuated signals. Simulation results indicate that this model has the potential to improve the performance of the signalized network under different traffic conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimization of Control Parameters for Adaptive Traffic-Actuated Signal Control


    Contributors:
    Zheng, Xing (author) / Recker, Will (author) / Chu, Lianyu (author)

    Published in:

    Publication date :

    2010-04-01


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English








    ACTUATED TRAFFIC SIGNAL CONTROL METHOD AND APPARATUS

    YUN IL SOO / KIM KYUNG HYUN / HAN EUM et al. | European Patent Office | 2016

    Free access