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Title:

Calibration, Estimation, and Sampling Issues of Car-Following Parameters

Accession Number:

01516115

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309295079

Abstract:

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.

Monograph Accession #:

01541038

Report/Paper Numbers:

14-3871

Language:

English

Authors:

Monteil, Julien
Billot, Romain
Sau, Jacques
Buisson, Christine
El Faouzi, Nour-Eddin

Pagination:

pp 131–140

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2422
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295079

Media Type:

Print

Features:

Figures (6) ; References (37) ; Tables (3)

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I80: Accident Studies; I83: Accidents and the Human Factor

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:20PM

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