文章基本信息

标题：Microscopic Calibration and Validation of Car-Following Models – A Systematic Approach
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作者：Martin Treiber ; Martin Treiber ; Arne Kesting 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2013
卷号：80
页码：922-939
DOI：10.1016/j.sbspro.2013.05.050
语种：English
出版社：Elsevier
摘要：AbstractCalibration and validation techniques are crucial in assessing the descriptive and predictive power of car-following models and their suitability for analyzing traffic flow. Using real and generated floating-car and trajectory data, we systematically investigate following aspects: Data requirements and preparation, conceptional approach including local maximum-likelihood and global LSE calibration with several objective functions, influence of the data sampling rate and measuring errors, the effect of data smoothing on the calibration result, and model performance in terms of fitting quality, robustness, parameter orthogonality, completeness and plausible parameter values.
关键词：Calibration;validation;car-following models;maximum-likelihood method;least squared errors;model robustness;floating-car data;trajectory data;model similarity matrix