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Parameter calibration of traffic models in microscopic online simulations

Lorkowski, Stefan and Wagner, Peter (2005) Parameter calibration of traffic models in microscopic online simulations. TRB 2005 (84. Annual Meeting), 2004-01-09 - 2004-01-13, Washington, DC (USA).

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Abstract

This paper discusses the continuous parameter calibration of microscopic traffic models in online simulations. An 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 model 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-distributed.

Item URL in elib:https://elib.dlr.de/20999/
Document Type:Conference or Workshop Item (Poster)
Title:Parameter calibration of traffic models in microscopic online simulations
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lorkowski, StefanUNSPECIFIEDUNSPECIFIED
Wagner, PeterUNSPECIFIEDUNSPECIFIED
Date:January 2005
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:traffic state estimation, microscopic online simulation, parameter calibration, Unscented Kalman Filter
Event Title:TRB 2005 (84. Annual Meeting)
Event Location:Washington, DC (USA)
Event Type:international Conference
Event Dates:2004-01-09 - 2004-01-13
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V VR - Verkehrsforschung
DLR - Research theme (Project):UNSPECIFIED
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research
Deposited By: Dumong, Andrea
Deposited On:04 Jan 2006
Last Modified:31 Jul 2019 19:16

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