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Parameter calibration of microscopic traffic models in online simulations

Lorkowski, Stefan and Wagner, Peter (2004) Parameter calibration of microscopic traffic models in online simulations. WCTR04 - 10th World Conference on Transport Research, 2004-07-04 - 2004-07-08, Istanbul (Turkey). (Unpublished)

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Abstract

This paper discusses the continuous parameter calibration of microscopic traffic models in online simulations. Am algorithm is described which uses a recent development in filter theory, the Unscented Kalman Filter. The algorithm is supplied with data of loop detectors and, of course, with the model. It adapts continuously the parameters to the incoming data in order to keep the online simulation as realistic as possible. The parameters to be filtered have to be chosen carefully, considering their probability density function, which should be roughly Gaussian-destributed.

Document Type:Conference or Workshop Item (Paper)
Title:Parameter calibration of microscopic traffic models in online simulations
Authors:
AuthorsInstitution or Email of Authors
Lorkowski, StefanUNSPECIFIED
Wagner, PeterUNSPECIFIED
Date:2004
Refereed publication:Yes
In ISI Web of Science:No
Status:Unpublished
Keywords:traffic state estimation, microscopic online simulation, Unscented Kalman Filter
Event Title:WCTR04 - 10th World Conference on Transport Research
Event Location:Istanbul (Turkey)
Event Type:international Conference
Event Dates:2004-07-04 - 2004-07-08
Organizer:WCTR
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignement
DLR - Research theme (Project):V -- no assignement
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research
Deposited By: Andrea Dumong
Deposited On:17 Nov 2005
Last Modified:12 Dec 2013 19:57

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