An Autonomous Intelligent Cruise Control (AICC) has been designed using a feedforward artificial neural network, as an example for utilizing artificial neural networks for nonlinear control problems arising in intelligent transportation systems applications. The AICC is based on a simple nonlinear model of the vehicle dynamics. A Neural Network Controller (NNC) code developed at Argonne National Laboratory to control discrete dynamical systems was used for this purpose. In order to test the NNC, an AICC-simulator containing graphical displays was developed for a system of two vehicles driving in a single lane. Two simulation cases are shown, one involving a lead vehicle with constant velocity and the other a lead vehicle with varying acceleration. More realistic vehicle dynamic models will be considered in future work.


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    Title :

    Artificial neural network controller for intelligent transportation systems applications


    Contributors:
    J. E. Vitela (author) / U. R. Hanebutte (author) / J. Reifman (author)

    Publication date :

    1996


    Size :

    9 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English