Title: Can Results of Car-Following Model Calibration Based on Trajectory Data Be Trusted?
Authors: PUNZO VINCENZOCIUFFO BIAGIOMONTANINO Marcello
Citation: TRANSPORTATION RESEARCH RECORD vol. 2315 p. 11-24
Publisher: NATL ACAD SCIENCES
Publication Year: 2012
JRC N°: JRC76748
ISSN: 0361-1981
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC76748
DOI: 10.3141/2315-02
Type: Articles in periodicals and books
Abstract: Calibration of car-following models against trajectory data has been widely applied as the basis for studies ranging from model investigation and benchmarking to parameter correlation. Other theoretical issues, such as inter- and intradriver heterogeneity or multianticipative driving behavior, are addressed in such studies. However, few of these studies attempted to analyze and quantify the uncertainty entailed in the calibration process and its impacts on the accuracy and reliability of results. A thorough understanding of the whole calibration problem (against trajectory data), as well as of the mutual effect of the specific problems raised in the field literature, does not yet exist. In this view, a general methodology to assess a calibration procedure was proposed and applied to the calibration of the Gipps car-following model. Compact indicators were proposed to evaluate the capability of a calibration setting to find the known global solution regarding the accuracy and the robustness of the variation of the starting conditions of the optimization algorithm. Then a graphical inspection method, based on cobweb plots, was proposed to explore the existence and nature of the local minima found by the algorithms, as well as to give insights into the measures of performance and the goodness-of-fit functions used in the calibration experiments. The methodology was applied to all calibration settings (i.e., combinations of algorithms, measures of performance, and goodnessof- fit functions) used in the field literature so far. The study allowed the highlighting and motivation, for the model under investigation, of the limits of some of these calibration settings. Research directions for the definition of robust settings for the problem of car-following model calibration based on real trajectory data are outlined.
JRC Directorate:Energy, Transport and Climate

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.