A car-following model has been proposed as a part of a microscopic traffic simulation model for the evaluation of automobile's control systems. The car-following model imitates human drivers' logic in the calculation of longitudinal acceleration rate. It has been designed to be consistent with a macroscopic traffic stream model that fits real world's traffic stream well. The model has parameters that should be different among drivers. A genetic algorithm was applied to identify the model parameters from the data obtained from experiment on a driving simulator. The model with identified parameters produces speed profiles similar to those of human driver. It was verified by simulations that the model enables stable starting and stopping of traffic stream. The stability in the presence of hard disturbance has been also confirmed. The traffic streams simulated from the model have macroscopic flow parameters that are close to those of real world's traffic.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Development of car-following model with parameter identification by genetic algorithm


    Additional title:

    Parameteridentifikation mittels genetischem Algorithmus für die Fahrzeugfolgeregelung


    Contributors:


    Publication date :

    2003


    Size :

    9 Seiten, 15 Bilder, 2 Tabellen, 15 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





    Genetic algorithm based parameter identification of a nonlinear full vehicle ride model

    Alasty,A. / Ramezyni,A. / Sharif Univ.of Technol.,IR | Automotive engineering | 2002




    A Parameter Identification of a Car-following Model

    Xing, J. | British Library Conference Proceedings | 1995