Calibration and Validation of Microscopic Traffic Flow Models. Brockfeld, E., Kühne, R., & Wagner, P. Transportation Research Records, 1934:179–187, Januar, 2005.
Calibration and Validation of Microscopic Traffic Flow Models [link]Paper  abstract   bibtex   1 download  
Since microscopic models are being heavily used in applications, the appropriate calibration and validation have been a recent concern. The contribution of this paper is to compare some of these models by calibrating and validating them with data from double-loop detectors on a multilane freeway. To simplify this task, the test of the models is done by simplifying the multilane reality to a simulation of only single lane. The results show that by simulating the multilane road with single lane models, calibration errors (Theil?s U, root mean squared error) of 14 % to 16 % can be obtained. A validation of the models ?which means taking calibrated parameters of one data set to reproduce the other data sets? gives additional errors of about 0.5 to 2.5 percentage points. This is in good agreement with other calibration/validation approaches performed recently.
@article{Brockfeld2005a,
	author = {Elmar Brockfeld and Reinhart K\"uhne and Peter Wagner},
	journal = {Transportation Research Records},
	title = {Calibration and Validation of Microscopic Traffic Flow Models},
	year = {2005},
	month = {Januar},
	pages = {179--187},
	volume = {1934},
	abstract = {Since microscopic models are being heavily used in applications, the
	appropriate calibration and validation have been a recent concern.
	The contribution of this paper is to compare some of these models
	by calibrating and validating them with data from double-loop detectors
	on a multilane freeway. To simplify this task, the test of the models
	is done by simplifying the multilane reality to a simulation of only
	single lane. The results show that by simulating the multilane road
	with single lane models, calibration errors (Theil?s U, root mean
	squared error) of 14 % to 16 % can be obtained. A validation of the
	models ?which means taking calibrated parameters of one data set
	to reproduce the other data sets? gives additional errors of about
	0.5 to 2.5 percentage points. This is in good agreement with other
	calibration/validation approaches performed recently.},
	booktitle = {Transportation Research Board 2005},
	editor = {Transportation Research Board},
	groups = {calibration&validation, TS, assigned2groups},
	keywords = {microscopic traffic flow models, calibration/validation, freeway data, DLR/TS/VM, model calibration},
	owner = {dkrajzew},
	timestamp = {2011.09.30},
	url = {http://elib.dlr.de/20987/}
}

Downloads: 1