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Moshe E. Ben-Akiva, Mithilesh K. Jha and Haris N. Koustopoulos. Darda, Deepak, 1977- Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering 2005-06-02T16:03:23Z 2005-06-02T16:03:23Z 2002 2002 http://hdl.handle.net/1721.1/17527 50571860 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002. Includes bibliographical references (p. 103-105). Microscopic Traffic simulators can be effectively used to analyze various transportation strategies (especially ITS related). However, microscopic traffic simulators need to be calibrated in order to yield meaningful results. Calibration is the process of adjusting the model parameters to closely replicate the observed behavior. In this thesis, a module for joint calibration of a microscopic traffic simulator along with estimation of Origin- Destination (OD) flows has been developed. The developed framework takes into account the interactions between the various model parameters and the OD flows. An optimization-based framework has been proposed for the joint calibration of model parameters and estimation of dynamic OD flows. A systematic search approach based on the Box algorithm is adopted for calibration of the parameters. Depending on the problem size, a sequential or a simultaneous OD estimation algorithm is employed. Since the calibration of the parameters depends on the estimated OD flows and vice versa, the proposed framework is iterative. The developed framework has been implemented in MITSIMLab, a microscopic traffic simulation laboratory. Case studies on three networks with varying levels of complexity illustrate the potential of the calibration approach. by Deepak Darda. S.M. 105 p. 4246343 bytes 4246151 bytes application/pdf application/pdf eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Civil and Environmental Engineering. Joint calibration of a microscope traffic simulator and estimation of origin-destination flows Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="03df582c-fcf4-49d8-b98a-b6637549e33f"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Joint calibration of a microscope traffic simulator and estimation of origin-destination flows</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2002</PublicationDate> <Authors> <Author> <DisplayName>Darda, Deepak, 1977-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Civil and Environmental Engineering.</Keyword> <Abstract>Microscopic Traffic simulators can be effectively used to analyze various transportation strategies (especially ITS related). However, microscopic traffic simulators need to be calibrated in order to yield meaningful results. Calibration is the process of adjusting the model parameters to closely replicate the observed behavior. In this thesis, a module for joint calibration of a microscopic traffic simulator along with estimation of Origin- Destination (OD) flows has been developed. The developed framework takes into account the interactions between the various model parameters and the OD flows. An optimization-based framework has been proposed for the joint calibration of model parameters and estimation of dynamic OD flows. A systematic search approach based on the Box algorithm is adopted for calibration of the parameters. Depending on the problem size, a sequential or a simultaneous OD estimation algorithm is employed. Since the calibration of the parameters depends on the estimated OD flows and vice versa, the proposed framework is iterative. The developed framework has been implemented in MITSIMLab, a microscopic traffic simulation laboratory. Case studies on three networks with varying levels of complexity illustrate the potential of the calibration approach.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>