An advanced signal system, named INTELS (with subsystems, ITSS, IMSS, and MCC), has been proposed for several years and has been upgraded recently. Originally, it only used an expert system to generate a suitable phase during each beginning state of the timing determination; thus no cycle with a steady sequence was possible. Except for the above function, the system is being remodeled to possess the capability of planning optimal timing by using a reasonable traffic forecasting model via an artificial neural network. This paper describes the system's framework, executing process, and the abstract control structure, including the phase generation and the timing design.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive signal control expert by artificial neural network training


    Contributors:


    Publication date :

    1995-01-01


    Size :

    527649 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Adaptive Signal Control Expert by Artificial Neural Network Training

    Chang, A. T. S. / IEEE / Vehicular Technology Society | British Library Conference Proceedings | 1995


    Adaptive signal control expert by artificial network training

    Chang,A.T. / Tamkang Univ.,TW | Automotive engineering | 1995


    Artificial-neural-network adaptive control of compound actuator

    Zhaodong, W. / Zhanlin, W. / Xiaoye, Q. et al. | British Library Online Contents | 2007


    Method for training artificial neural network

    HASBERG CARSTEN / NASR TOMER / SARANRITICHAI PARTHA | European Patent Office | 2022

    Free access

    Artificial-neural-network-based nonlinear adaptive control and simulation

    Dong, W. / Ruiping, M. / Minglian, Z. et al. | British Library Online Contents | 2004