Recently, the Next Generation Simulation (NGSIM) has attracted many researchers' interests because of its representative data and rich contents. Based on the NGSIM data, this paper calibrates the multi-anticipative car-following models, including multi-anticipative IDM, multi-anticipative FVDM, MHVD model, and MVD model. Before calibration, this article pre-processes the accelerations and velocities since there are several defects in the original data. The calibration of car-following models and multi-anticipative car-following models is grounded on the Levenberg-Marquardt algorithm; furthermore, the calibration results of car-following models can provide important reference value for researchers, such as the appropriate estimating ranges of model parameters, while the results of calibrating multi-anticipative car-following models not only introduce the parameter estimation ranges but also testify that, in reality, the multi-anticipative models are more suitable and two preceding vehicles can be a better choice.


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    Title :

    Calibration of Acceleration-Based and Multi-Anticipative Car-Following Models by NGSIM Trajectory Data


    Contributors:
    Sun, Li Jun (author) / Chen, Xi Qun (author) / Xie, Wei Jun (author) / Yang, Xinmiao (author)

    Conference:

    Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China


    Published in:

    ICCTP 2010 ; 1773-1784


    Publication date :

    2010-07-22




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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