%0 Journal Article
%T Calibration of nonlinear car-following laws for traffic oscillation prediction
%J Transportation research part C: emerging technologies
%D 2016
%A Rhoades, Christine
%A Wang, Xin
%A Ouyang, Yanfeng
%V 69
%N 
%P 328-342
%X Frequency-domain analysis has been successfully used to (i) predict the amplification of traffic oscillations along a platoon of vehicles with nonlinear car-following laws and (ii) measure traffic oscillation properties (e.g., periodicity, magnitude) from field data. This paper proposes a new method to calibrate nonlinear car-following laws based on real-world vehicle trajectories, such that oscillation prediction (based on the calibrated car-following laws) and measurement from the same data can be compared and validated. This calibration method, for the first time, takes into account not only the driver's car-following behavior but also the vehicle trajectory's time-domain (e.g., location, speed) and frequency-domain properties (e.g., peak oscillation amplitude). We use Newell's car-following model (1961) as an example and calibrate its parameters based on a penalty-based maximum likelihood estimation procedure. A series of experiments using Next Generation Simulation (NGSIM) data are conducted to illustrate the applicability and performance of the proposed approach. <br><br>RESULTS show that the calibrated car-following models are able to simultaneously reproduce observed driver behavior, time-domain trajectories, and oscillation propagation along the platoon with reasonable accuracy.<p /> <p>Language: en</p>
%G en
%I Elsevier Publishing
%@ 0968-090X
%U http://dx.doi.org/10.1016/j.trc.2016.05.018