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Massachusetts Institute of Technology

On-line calibration for dynamic traffic assignment

Abstract

dc:description.abstract

(cont.) application, the EKF has more desirable properties than the UKF. Furthermore, the Limiting EKF provides accuracy comparable to that of the best algorithm (EKF), but with computational complexity which is order(s) of magnitude lower than the other algorithms.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Antoniou, Constantinos
Advisor dc:contributor.advisor
  • Moshe E. Ben-Akiva and Haris N. Koutsopoulos.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/28639
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/28639

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Antoniou, Constantinos. On-line calibration for dynamic traffic assignment. Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28639