Accelerated on-line calibration of dynamic traffic assignment using distributed stochastic gradient approximation

Accelerated on-line calibration of dynamic traffic assignment using distributed stochastic gradient approximation

Dynamic Traffic Assignment (DTA) system [Ben-Akiva et al., 1991] [Mahmassani, 2001] benefits travelers by providing accurate estimate of current traffic conditions, consistent anticipatory network information as well as reliable route guidance. Over the years, two types of model adjustment schemes h...

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Bibliographic Details
Main Authors: Huang, Enyang (Contributor), Antoniou, Constantinos (Contributor), Lopes, Jorge Alves (Author), Wen, Yang, Ph. D. Massachusetts Institute of Technology (Author), Ben-Akiva, Moshe E (Author)
Other Authors: Massachusetts Institute of Technology. Center for Transportation & Logistics (Contributor), Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor), Massachusetts Institute of Technology. Intelligent Transportation Systems Laboratory (Contributor), Ben-Akiva, Moshe E. (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2013-03-05T21:49:24Z.
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