DocumentCode :
3573532
Title :
Calibration of an interrupted traffic flow system using NGSIM trajectory data sets
Author :
Yaling Fang ; Zhongke Shi ; Jinliang Cao
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xian, China
fYear :
2014
Firstpage :
4887
Lastpage :
4892
Abstract :
This paper calibrates an interrupted traffic flow system model using the trajectory datasets provided by Next Generation SIMulation (NGSIM) program. The realistic lane changing may cut off the traffic flow into discontinuous flow, giving rise to congestion and vehicle delay. The aim of this paper is to study the car-following behaviors of drivers in real traffic scenes in which lane changing happens. The interrupted traffic flow system model is calibrated by minimizing the deviations between the observed dynamics and the simulated trajectory with a nonlinear optimization procedure-Levenberg-Marquardt Algorithm. The reliability and robustness of the nonlinear fits are assessed for the deviation from one trajectory, acceleration and deceleration process respectively. The required errors are 0.0172 and 0.2845, which are sameness to representative one obtained in previous studies. Therefore, a used widely model that reflects the lane changing situation in reality is achieved.
Keywords :
acceleration control; calibration; delay systems; nonlinear programming; road traffic; robust control; trajectory control; NGSIM program; NGSIM trajectory data set; acceleration process; calibration; car-following behavior; congestion; deceleration process; discontinuous flow; interrupted traffic flow system model; lane changing happen; lane changing situation; next generation simulation program; nonlinear optimization procedure-Levenberg-Marquardt algorithm; observed dynamic; real traffic scene; reliability; robustness; simulated trajectory; trajectory datasets; trajectory process; vehicle delay; Acceleration; Calibration; Data mining; Data models; Smoothing methods; Trajectory; Vehicles; Interrupted traffic flow system; Lane changing; NGSIM trajectory data sets; Nonlinear optimization algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053542
Filename :
7053542
Link To Document :
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