Aiming at the nonlinear and time-variable characteristics of freeway traffic systems, a composition control method based on CMAC (Cerebellar Model Articulation Controller) and PID controller is applied to address the traffic density control problem in a macroscopic level freeway environment with ramp metering. Firstly, the second-order traffic flow model to describe freeway flow process is established. Then the principle of CMAC-PID composition control is formulated, and the learning algorithm is given in detail. Based on the model and in conjunction with feedback control theory, CMAC-PID based traffic density controller is designed. Finally, the controller is simulated in MATLAB software. The results show that this controller designed has fast response, good dynamic and steady-state performance. It can achieve a desired traffic density along the freeway mainline.


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    Titel :

    Freeway Traffic Density Control Based on CMAC



    Erschienen in:

    Applied Mechanics and Materials ; 220-223 ; 2726-2729


    Erscheinungsdatum :

    12.11.2012


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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