Calibration, estimation, and sampling issues of car-following parameters

Monteil, Julien, Billot, Romain, Sau, Jacques, Buisson, Christine, & El Faouzi, Nour-Eddin (2014) Calibration, estimation, and sampling issues of car-following parameters. Transportation Research Record, 2422, pp. 131-140.

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Drivers behave in different ways, and these different behaviors are a cause of traffic disturbances. A key objective for simulation tools is to correctly reproduce this variability, in particular for car-following models. From data collection to the sampling of realistic behaviors, a chain of key issues must be addressed. This paper discusses data filtering, robustness of calibration, correlation between parameters, and sampling techniques of acceleration-time continuous car-following models. The robustness of calibration is systematically investigated with an objective function that allows confidence regions around the minimum to be obtained. Then, the correlation between sets of calibrated parameters and the validity of the joint distributions sampling techniques are discussed. This paper confirms the need for adapted calibration and sampling techniques to obtain realistic sets of car-following parameters, which can be used later for simulation purposes.

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4 citations in Web of Science®
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ID Code: 88553
Item Type: Journal Article
Refereed: Yes
DOI: 10.3141/2422-15
ISSN: 0361-1981
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
Deposited On: 29 Oct 2015 03:48
Last Modified: 29 Oct 2015 03:48

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