Computationally efficient offline demand calibration algorithms for large-scale stochastic traffic simulation models

Computationally efficient offline demand calibration algorithms for large-scale stochastic traffic simulation models

Thesis: Ph. D. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 168-181). === This thesis introduces computationally efficient, robust, and scala...

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Bibliographic Details
Main Author: Zhang, Chao, Ph. D. Massachusetts Institute of Technology
Other Authors: Carolina Osorio.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2019
Subjects:
Civil and Environmental Engineering.
Online Access:http://hdl.handle.net/1721.1/120639

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