Calibration of car-following models using Kalman filters

Calibration of car-following models using Kalman filters. Brockfeld, E. & Lorkowski, S. In ISTTT 16, 2005.

Calibration and validation, especially of microscopic traffic flow models is a challenging task. Currently, ther is a renewed interest in results of those efforts [1, 2] as well as in developing the right tools to actually perform the calibration. The approach developed in [1] will be refined, extended and compared to an approach based on the recent development of a so called unscented Kalman filter [3]. These methods will be used to calibrate a couple of microscopic traffic flow models to two sets of freeway data, one US-American (the I-880 FSP-dataset) and an European dataset, data from the German freeway A100.

@inproceedings{Brockfeld2005,
	author = {Elmar Brockfeld and Stefan Lorkowski},
	booktitle = {ISTTT 16},
	title = {Calibration of car-following models using Kalman filters},
	year = {2005},
	abstract = {Calibration and validation, especially of microscopic traffic flow
	models is a challenging task. Currently, ther is a renewed interest
	in results of those efforts [1, 2] as well as in developing the right
	tools to actually perform the calibration. The approach developed
	in [1] will be refined, extended and compared to an approach based
	on the recent development of a so called unscented Kalman filter
	[3]. These methods will be used to calibrate a couple of microscopic
	traffic flow models to two sets of freeway data, one US-American
	(the I-880 FSP-dataset) and an European dataset, data from the German
	freeway A100.},
	groups = {calibration&validation, TS, assigned2groups},
	keywords = {calibration, validation, Kalman filter, , DLR/TS/VM, model calibration},
	owner = {dkrajzew},
	timestamp = {2011.09.30},
	url = {http://elib.dlr.de/22391/}
}

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